Language Networks as Models of Cognition: Understanding Cognition through Language

Science.gov (United States)

Beckage, Nicole M.; Colunga, Eliana

Language is inherently cognitive and distinctly human. Separating the object of language from the human mind that processes and creates language fails to capture the full language system. Linguistics traditionally has focused on the study of language as a static representation, removed from the human mind. Network analysis has traditionally been focused on the properties and structure that emerge from network representations. Both disciplines could gain from looking at language as a cognitive process. In contrast, psycholinguistic research has focused on the process of language without committing to a representation. However, by considering language networks as approximations of the cognitive system we can take the strength of each of these approaches to study human performance and cognition as related to language. This paper reviews research showcasing the contributions of network science to the study of language. Specifically, we focus on the interplay of cognition and language as captured by a network representation. To this end, we review different types of language network representations before considering the influence of global level network features. We continue by considering human performance in relation to network structure and conclude with theoretical network models that offer potential and testable explanations of cognitive and linguistic phenomena.

Comparative analysis of business rules and business process modeling languages

Directory of Open Access Journals (Sweden)

Audrius Rima

2013-03-01

Full Text Available During developing an information system is important to create clear models and choose suitable modeling languages. The article analyzes the SRML, SBVR, PRR, SWRL, OCL rules specifying language and UML, DFD, CPN, EPC and IDEF3 BPMN business process modeling language. The article presents business rules and business process modeling languages theoretical comparison. The article according to selected modeling aspects of the comparison between different business process modeling languages ​​and business rules representation languages sets. Also, it is selected the best fit of language set for three layer framework for business rule based software modeling.

Modeling Coevolution between Language and Memory Capacity during Language Origin

Science.gov (United States)

Gong, Tao; Shuai, Lan

2015-01-01

Memory is essential to many cognitive tasks including language. Apart from empirical studies of memory effects on language acquisition and use, there lack sufficient evolutionary explorations on whether a high level of memory capacity is prerequisite for language and whether language origin could influence memory capacity. In line with evolutionary theories that natural selection refined language-related cognitive abilities, we advocated a coevolution scenario between language and memory capacity, which incorporated the genetic transmission of individual memory capacity, cultural transmission of idiolects, and natural and cultural selections on individual reproduction and language teaching. To illustrate the coevolution dynamics, we adopted a multi-agent computational model simulating the emergence of lexical items and simple syntax through iterated communications. Simulations showed that: along with the origin of a communal language, an initially-low memory capacity for acquired linguistic knowledge was boosted; and such coherent increase in linguistic understandability and memory capacities reflected a language-memory coevolution; and such coevolution stopped till memory capacities became sufficient for language communications. Statistical analyses revealed that the coevolution was realized mainly by natural selection based on individual communicative success in cultural transmissions. This work elaborated the biology-culture parallelism of language evolution, demonstrated the driving force of culturally-constituted factors for natural selection of individual cognitive abilities, and suggested that the degree difference in language-related cognitive abilities between humans and nonhuman animals could result from a coevolution with language. PMID:26544876

Language Models and the Teaching of English Language to Secondary School Students in Cameroon

Science.gov (United States)

Ntongieh, Njwe Amah Eyovi

2016-01-01

This paper investigates Language models with an emphasis on an appraisal of the Competence Based Language Teaching Model (CBLT) employed in the teaching and learning of English language in Cameroon. Research endeavours at various levels combined with cumulative deficiencies experienced over the years have propelled educational policy makers to…

Querying and Serving N-gram Language Models with Python

Directory of Open Access Journals (Sweden)

2009-06-01

Full Text Available Statistical n-gram language modeling is a very important technique in Natural Language Processing (NLP and Computational Linguistics used to assess the fluency of an utterance in any given language. It is widely employed in several important NLP applications such as Machine Translation and Automatic Speech Recognition. However, the most commonly used toolkit (SRILM to build such language models on a large scale is written entirely in C++ which presents a challenge to an NLP developer or researcher whose primary language of choice is Python. This article first provides a gentle introduction to statistical language modeling. It then describes how to build a native and efficient Python interface (using SWIG to the SRILM toolkit such that language models can be queried and used directly in Python code. Finally, it also demonstrates an effective use case of this interface by showing how to leverage it to build a Python language model server. Such a server can prove to be extremely useful when the language model needs to be queried by multiple clients over a network: the language model must only be loaded into memory once by the server and can then satisfy multiple requests. This article includes only those listings of source code that are most salient. To conserve space, some are only presented in excerpted form. The complete set of full source code listings may be found in Volume 1 of The Python Papers Source Codes Journal.

Toward Cognitively Constrained Models of Language Processing: A Review

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Margreet Vogelzang

2017-09-01

Full Text Available Language processing is not an isolated capacity, but is embedded in other aspects of our cognition. However, it is still largely unexplored to what extent and how language processing interacts with general cognitive resources. This question can be investigated with cognitively constrained computational models, which simulate the cognitive processes involved in language processing. The theoretical claims implemented in cognitive models interact with general architectural constraints such as memory limitations. This way, it generates new predictions that can be tested in experiments, thus generating new data that can give rise to new theoretical insights. This theory-model-experiment cycle is a promising method for investigating aspects of language processing that are difficult to investigate with more traditional experimental techniques. This review specifically examines the language processing models of Lewis and Vasishth (2005, Reitter et al. (2011, and Van Rij et al. (2010, all implemented in the cognitive architecture Adaptive Control of Thought—Rational (Anderson et al., 2004. These models are all limited by the assumptions about cognitive capacities provided by the cognitive architecture, but use different linguistic approaches. Because of this, their comparison provides insight into the extent to which assumptions about general cognitive resources influence concretely implemented models of linguistic competence. For example, the sheer speed and accuracy of human language processing is a current challenge in the field of cognitive modeling, as it does not seem to adhere to the same memory and processing capacities that have been found in other cognitive processes. Architecture-based cognitive models of language processing may be able to make explicit which language-specific resources are needed to acquire and process natural language. The review sheds light on cognitively constrained models of language processing from two angles: we

How does language model size effects speech recognition accuracy for the Turkish language?

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Behnam ASEFİSARAY

2016-05-01

Full Text Available In this paper we aimed at investigating the effect of Language Model (LM size on Speech Recognition (SR accuracy. We also provided details of our approach for obtaining the LM for Turkish. Since LM is obtained by statistical processing of raw text, we expect that by increasing the size of available data for training the LM, SR accuracy will improve. Since this study is based on recognition of Turkish, which is a highly agglutinative language, it is important to find out the appropriate size for the training data. The minimum required data size is expected to be much higher than the data needed to train a language model for a language with low level of agglutination such as English. In the experiments we also tried to adjust the Language Model Weight (LMW and Active Token Count (ATC parameters of LM as these are expected to be different for a highly agglutinative language. We showed that by increasing the training data size to an appropriate level, the recognition accuracy improved on the other hand changes on LMW and ATC did not have a positive effect on Turkish speech recognition accuracy.

Improving Language Learning Strategies and Performance of Pre-Service Language Teachers Through a CALLA-TBLT Model

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Maria Eugenia Guapacha Chamorro

2017-07-01

Full Text Available This paper reports an action-research study on language learning strategies in tertiary education at a Colombian university. The study aimed at improving the English language performance and language learning strategies use of 33 first-year pre-service language teachers by combining elements from two models: the cognitive academic language learning approach and task-based language teaching. Data were gathered through surveys, a focus group, students’ and teachers’ journals, language tests, and documentary analysis. Results evidenced that the students improved in speaking, writing, grammar, vocabulary and in their language learning strategies repertoire. As a conclusion, explicit strategy instruction in the proposed model resulted in a proper combination to improve learners’ language learning strategies and performance.

Generating Systems Biology Markup Language Models from the Synthetic Biology Open Language.

Science.gov (United States)

Roehner, Nicholas; Zhang, Zhen; Nguyen, Tramy; Myers, Chris J

2015-08-21

In the context of synthetic biology, model generation is the automated process of constructing biochemical models based on genetic designs. This paper discusses the use cases for model generation in genetic design automation (GDA) software tools and introduces the foundational concepts of standards and model annotation that make this process useful. Finally, this paper presents an implementation of model generation in the GDA software tool iBioSim and provides an example of generating a Systems Biology Markup Language (SBML) model from a design of a 4-input AND sensor written in the Synthetic Biology Open Language (SBOL).

Model Process Control Language

Data.gov (United States)

National Aeronautics and Space Administration — The MPC (Model Process Control) language enables the capture, communication and preservation of a simulation instance, with sufficient detail that it can be...

The GRAIL concept modelling language for medical terminology.

Science.gov (United States)

Rector, A L; Bechhofer, S; Goble, C A; Horrocks, I; Nowlan, W A; Solomon, W D

1997-02-01

The GALEN representation and integration language (GRAIL) has been developed to support effective clinical user interfaces and extensible re-usable models of medical terminology. It has been used successfully to develop the prototype GALEN common reference (CORE) model for medical terminology and for a series of projects in clinical user interfaces within the GALEN and PEN&PAD projects. GRAIL is a description logic or frame language with novel features to support part-whole and other transitive relations and to support the GALEN modelling style aimed at re-use and application independence. GRAIL began as an experimental language. However, it has clarified many requirements for an effective knowledge representation language for clinical concepts. It still has numerous limitations despite its practical successes. The GRAIL experience is expected to form the basis for future languages which meet the same requirements but have greater expressiveness and more soundly based semantics. This paper provides a description and motivation for the GRAIL language and gives examples of the modelling paradigm which it supports.

Probabilistic language models in cognitive neuroscience: Promises and pitfalls.

Science.gov (United States)

Armeni, Kristijan; Willems, Roel M; Frank, Stefan L

2017-12-01

Cognitive neuroscientists of language comprehension study how neural computations relate to cognitive computations during comprehension. On the cognitive part of the equation, it is important that the computations and processing complexity are explicitly defined. Probabilistic language models can be used to give a computationally explicit account of language complexity during comprehension. Whereas such models have so far predominantly been evaluated against behavioral data, only recently have the models been used to explain neurobiological signals. Measures obtained from these models emphasize the probabilistic, information-processing view of language understanding and provide a set of tools that can be used for testing neural hypotheses about language comprehension. Here, we provide a cursory review of the theoretical foundations and example neuroimaging studies employing probabilistic language models. We highlight the advantages and potential pitfalls of this approach and indicate avenues for future research. Copyright © 2017 Elsevier Ltd. All rights reserved.

Spin Glass Models of Syntax and Language Evolution

OpenAIRE

Siva, Karthik; Tao, Jim; Marcolli, Matilde

2015-01-01

Using the SSWL database of syntactic parameters of world languages, and the MIT Media Lab data on language interactions, we construct a spin glass model of language evolution. We treat binary syntactic parameters as spin states, with languages as vertices of a graph, and assigned interaction energies along the edges. We study a rough model of syntax evolution, under the assumption that a strong interaction energy tends to cause parameters to align, as in the case of ferromagnetic materials. W...

Apricot - An Object-Oriented Modeling Language for Hybrid Systems

OpenAIRE

Fang, Huixing; Zhu, Huibiao; Shi, Jianqi

2013-01-01

We propose Apricot as an object-oriented language for modeling hybrid systems. The language combines the features in domain specific language and object-oriented language, that fills the gap between design and implementation, as a result, we put forward the modeling language with simple and distinct syntax, structure and semantics. In addition, we introduce the concept of design by convention into Apricot.As the characteristic of object-oriented and the component architecture in Apricot, we c...

Modeling the language learning strategies and English language proficiency of pre-university students in UMS: A case study

Science.gov (United States)

Kiram, J. J.; Sulaiman, J.; Swanto, S.; Din, W. A.

2015-10-01

This study aims to construct a mathematical model of the relationship between a student's Language Learning Strategy usage and English Language proficiency. Fifty-six pre-university students of University Malaysia Sabah participated in this study. A self-report questionnaire called the Strategy Inventory for Language Learning was administered to them to measure their language learning strategy preferences before they sat for the Malaysian University English Test (MUET), the results of which were utilised to measure their English language proficiency. We attempted the model assessment specific to Multiple Linear Regression Analysis subject to variable selection using Stepwise regression. We conducted various assessments to the model obtained, including the Global F-test, Root Mean Square Error and R-squared. The model obtained suggests that not all language learning strategies should be included in the model in an attempt to predict Language Proficiency.

Similar words analysis based on POS-CBOW language model

Directory of Open Access Journals (Sweden)

Dongru RUAN

2015-10-01

Full Text Available Similar words analysis is one of the important aspects in the field of natural language processing, and it has important research and application values in text classification, machine translation and information recommendation. Focusing on the features of Sina Weibo's short text, this paper presents a language model named as POS-CBOW, which is a kind of continuous bag-of-words language model with the filtering layer and part-of-speech tagging layer. The proposed approach can adjust the word vectors' similarity according to the cosine similarity and the word vectors' part-of-speech metrics. It can also filter those similar words set on the base of the statistical analysis model. The experimental result shows that the similar words analysis algorithm based on the proposed POS-CBOW language model is better than that based on the traditional CBOW language model.

Modeling of Slovak Language for Broadcast News Transcription

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STAŠ Ján

2015-10-01

Full Text Available The paper describes recent progress in the development the Slovak language models for transcription of spontaneous speech such as broadcast news, educational talks and lectures, or meetings. This work extends previous research oriented on the automatic transcription of dictated speech and brings some new extensions for improving perplexity and robustness of the Slovak language models trained on the web-based and electronic language resources for being more precise in recognition of spontaneous speech. These improvements include better text preprocessing, document classification, class-based and filled pauses modeling, web-data augmentation and fast model adaptation to the target domain. Experiments have been performed on the four different evaluation data sets, including judicial and newspaper readings, broadcast news recordings and parliament proceedings with the Slovak transcription system. Preliminary results show significant decrease of the word error rate for multiple transcription system configurations of acoustic and language models.

A Comparison and Evaluation of Real-Time Software Systems Modeling Languages

Science.gov (United States)

Evensen, Kenneth D.; Weiss, Kathryn Anne

2010-01-01

A model-driven approach to real-time software systems development enables the conceptualization of software, fostering a more thorough understanding of its often complex architecture and behavior while promoting the documentation and analysis of concerns common to real-time embedded systems such as scheduling, resource allocation, and performance. Several modeling languages have been developed to assist in the model-driven software engineering effort for real-time systems, and these languages are beginning to gain traction with practitioners throughout the aerospace industry. This paper presents a survey of several real-time software system modeling languages, namely the Architectural Analysis and Design Language (AADL), the Unified Modeling Language (UML), Systems Modeling Language (SysML), the Modeling and Analysis of Real-Time Embedded Systems (MARTE) UML profile, and the AADL for UML profile. Each language has its advantages and disadvantages, and in order to adequately describe a real-time software system's architecture, a complementary use of multiple languages is almost certainly necessary. This paper aims to explore these languages in the context of understanding the value each brings to the model-driven software engineering effort and to determine if it is feasible and practical to combine aspects of the various modeling languages to achieve more complete coverage in architectural descriptions. To this end, each language is evaluated with respect to a set of criteria such as scope, formalisms, and architectural coverage. An example is used to help illustrate the capabilities of the various languages.

LEARNING SEMANTICS-ENHANCED LANGUAGE MODELS APPLIED TO UNSUEPRVISED WSD

Energy Technology Data Exchange (ETDEWEB)

VERSPOOR, KARIN [Los Alamos National Laboratory; LIN, SHOU-DE [Los Alamos National Laboratory

2007-01-29

An N-gram language model aims at capturing statistical syntactic word order information from corpora. Although the concept of language models has been applied extensively to handle a variety of NLP problems with reasonable success, the standard model does not incorporate semantic information, and consequently limits its applicability to semantic problems such as word sense disambiguation. We propose a framework that integrates semantic information into the language model schema, allowing a system to exploit both syntactic and semantic information to address NLP problems. Furthermore, acknowledging the limited availability of semantically annotated data, we discuss how the proposed model can be learned without annotated training examples. Finally, we report on a case study showing how the semantics-enhanced language model can be applied to unsupervised word sense disambiguation with promising results.

Graphical modeling and query language for hospitals.

Science.gov (United States)

Barzdins, Janis; Barzdins, Juris; Rencis, Edgars; Sostaks, Agris

2013-01-01

So far there has been little evidence that implementation of the health information technologies (HIT) is leading to health care cost savings. One of the reasons for this lack of impact by the HIT likely lies in the complexity of the business process ownership in the hospitals. The goal of our research is to develop a business model-based method for hospital use which would allow doctors to retrieve directly the ad-hoc information from various hospital databases. We have developed a special domain-specific process modelling language called the MedMod. Formally, we define the MedMod language as a profile on UML Class diagrams, but we also demonstrate it on examples, where we explain the semantics of all its elements informally. Moreover, we have developed the Process Query Language (PQL) that is based on MedMod process definition language. The purpose of PQL is to allow a doctor querying (filtering) runtime data of hospital's processes described using MedMod. The MedMod language tries to overcome deficiencies in existing process modeling languages, allowing to specify the loosely-defined sequence of the steps to be performed in the clinical process. The main advantages of PQL are in two main areas - usability and efficiency. They are: 1) the view on data through "glasses" of familiar process, 2) the simple and easy-to-perceive means of setting filtering conditions require no more expertise than using spreadsheet applications, 3) the dynamic response to each step in construction of the complete query that shortens the learning curve greatly and reduces the error rate, and 4) the selected means of filtering and data retrieving allows to execute queries in O(n) time regarding the size of the dataset. We are about to continue developing this project with three further steps. First, we are planning to develop user-friendly graphical editors for the MedMod process modeling and query languages. The second step is to do evaluation of usability the proposed language and tool

Domain Specific Language for Modeling Waste Management Systems

DEFF Research Database (Denmark)

Zarrin, Bahram

environmental technologies i.e. solid waste management systems. Flow-based programming is used to support concurrent execution of the processes, and provides a model-integration language for composing processes from homogeneous or heterogeneous domains. And a domain-specific language is used to define atomic......In order to develop sustainable waste management systems with considering life cycle perspective, scientists and domain experts in environmental science require readily applicable tools for modeling and evaluating the life cycle impacts of the waste management systems. Practice has proved...... a domain specific language for modeling of waste-management systems on the basis of our framework. We evaluate the language by providing a set of case studies. The contributions of this thesis are; addressing separation of concerns in Flow-based programming and providing the formal specification of its...

Language modeling for automatic speech recognition of inflective languages an applications-oriented approach using lexical data

CERN Document Server

Donaj, Gregor

2017-01-01

This book covers language modeling and automatic speech recognition for inflective languages (e.g. Slavic languages), which represent roughly half of the languages spoken in Europe. These languages do not perform as well as English in speech recognition systems and it is therefore harder to develop an application with sufficient quality for the end user. The authors describe the most important language features for the development of a speech recognition system. This is then presented through the analysis of errors in the system and the development of language models and their inclusion in speech recognition systems, which specifically address the errors that are relevant for targeted applications. The error analysis is done with regard to morphological characteristics of the word in the recognized sentences. The book is oriented towards speech recognition with large vocabularies and continuous and even spontaneous speech. Today such applications work with a rather small number of languages compared to the nu...

Transformation Strategies between Block-Oriented and Graph-Oriented Process Modelling Languages

DEFF Research Database (Denmark)

Mendling, Jan; Lassen, Kristian Bisgaard; Zdun, Uwe

2006-01-01

Much recent research work discusses the transformation between different process modelling languages. This work, however, is mainly focussed on specific process modelling languages, and thus the general reusability of the applied transformation concepts is rather limited. In this paper, we aim...... to abstract from concrete transformation strategies by distinguishing two major paradigms for representing control flow in process modelling languages: block-oriented languages (such as BPEL and BPML) and graph-oriented languages (such as EPCs and YAWL). The contribution of this paper are generic strategies...... for transforming from block-oriented process languages to graph-oriented languages, and vice versa....

An amodal shared resource model of language-mediated visual attention

Directory of Open Access Journals (Sweden)

Alastair Charles Smith

2013-08-01

Full Text Available Language-mediated visual attention describes the interaction of two fundamental components of the human cognitive system, language and vision. Within this paper we present an amodal shared resource model of language-mediated visual attention that offers a description of the information and processes involved in this complex multimodal behaviour and a potential explanation for how this ability is acquired. We demonstrate that the model is not only sufficient to account for the experimental effects of Visual World Paradigm studies but also that these effects are emergent properties of the architecture of the model itself, rather than requiring separate information processing channels or modular processing systems. The model provides an explicit description of the connection between the modality-specific input from language and vision and the distribution of eye gaze in language mediated visual attention. The paper concludes by discussing future applications for the model, specifically its potential for investigating the factors driving observed individual differences in language mediated eye gaze.

Improving Language Models in Speech-Based Human-Machine Interaction

Directory of Open Access Journals (Sweden)

Raquel Justo

2013-02-01

Full Text Available This work focuses on speech-based human-machine interaction. Specifically, a Spoken Dialogue System (SDS that could be integrated into a robot is considered. Since Automatic Speech Recognition is one of the most sensitive tasks that must be confronted in such systems, the goal of this work is to improve the results obtained by this specific module. In order to do so, a hierarchical Language Model (LM is considered. Different series of experiments were carried out using the proposed models over different corpora and tasks. The results obtained show that these models provide greater accuracy in the recognition task. Additionally, the influence of the Acoustic Modelling (AM in the improvement percentage of the Language Models has also been explored. Finally the use of hierarchical Language Models in a language understanding task has been successfully employed, as shown in an additional series of experiments.

Improving Language Learning Strategies and Performance of Pre-Service Language Teachers through a CALLA-TBLT Model

Science.gov (United States)

Guapacha Chamorro, Maria Eugenia; Benavidez Paz, Luis Humberto

2017-01-01

This paper reports an action-research study on language learning strategies in tertiary education at a Colombian university. The study aimed at improving the English language performance and language learning strategies use of 33 first-year pre-service language teachers by combining elements from two models: the cognitive academic language…

A conceptual model specification language (CMSL Version 2)

NARCIS (Netherlands)

Wieringa, Roelf J.

1992-01-01

Version 2 of a language (CMSL) to specify conceptual models is defined. CMSL consists of two parts, the value specification language VSL and the object spercification language OSL. There is a formal semantics and an inference system for CMSL but research on this still continues. A method for

Agent based models of language competition: macroscopic descriptions and order–disorder transitions

International Nuclear Information System (INIS)

Vazquez, F; Castelló, X; San Miguel, M

2010-01-01

We investigate the dynamics of two agent based models of language competition. In the first model, each individual can be in one of two possible states, either using language X or language Y, while the second model incorporates a third state XY, representing individuals that use both languages (bilinguals). We analyze the models on complex networks and two-dimensional square lattices by analytical and numerical methods, and show that they exhibit a transition from one-language dominance to language coexistence. We find that the coexistence of languages is more difficult to maintain in the bilinguals model, where the presence of bilinguals facilitates the ultimate dominance of one of the two languages. A stability analysis reveals that the coexistence is more unlikely to happen in poorly connected than in fully connected networks, and that the dominance of just one language is enhanced as the connectivity decreases. This dominance effect is even stronger in a two-dimensional space, where domain coarsening tends to drive the system towards language consensus

Computer modelling as a tool for understanding language evolution

NARCIS (Netherlands)

de Boer, Bart; Gontier, N; VanBendegem, JP; Aerts, D

2006-01-01

This paper describes the uses of computer models in studying the evolution of language. Language is a complex dynamic system that can be studied at the level of the individual and at the level of the population. Much of the dynamics of language evolution and language change occur because of the

Klaim-DB: A Modeling Language for Distributed Database Applications

DEFF Research Database (Denmark)

Wu, Xi; Li, Ximeng; Lluch Lafuente, Alberto

2015-01-01

and manipulation of structured data, with integrity and atomicity considerations. We present the formal semantics of KlaimDB and illustrate the use of the language in a scenario where the sales from different branches of a chain of department stores are aggregated from their local databases. It can be seen......We present the modelling language, Klaim-DB, for distributed database applications. Klaim-DB borrows the distributed nets of the coordination language Klaim but essentially re-incarnates the tuple spaces of Klaim as databases, and provides high-level language abstractions for the access...... that raising the abstraction level and encapsulating integrity checks (concerning the schema of tables, etc.) in the language primitives for database operations benefit the modelling task considerably....

Clone Detection for Graph-Based Model Transformation Languages

DEFF Research Database (Denmark)

Strüber, Daniel; Plöger, Jennifer; Acretoaie, Vlad

2016-01-01

and analytical quality assurance. From these use cases, we derive a set of key requirements. We describe our customization of existing model clone detection techniques allowing us to address these requirements. Finally, we provide an experimental evaluation, indicating that our customization of ConQAT, one......Cloning is a convenient mechanism to enable reuse across and within software artifacts. On the downside, it is also a practice related to significant long-term maintainability impediments, thus generating a need to identify clones in affected artifacts. A large variety of clone detection techniques...... has been proposed for programming and modeling languages; yet no specific ones have emerged for model transformation languages. In this paper, we explore clone detection for graph-based model transformation languages. We introduce potential use cases for such techniques in the context of constructive...

Large-Scale Topic Detection and Language Model Adaptation

National Research Council Canada - National Science Library

Seymore, Kristie

1997-01-01

.... We have developed a language model adaptation scheme that takes apiece of text, chooses the most similar topic clusters from a set of over 5000 elemental topics, and uses topic specific language...

Melody Track Selection Using Discriminative Language Model

Science.gov (United States)

Wu, Xiao; Li, Ming; Suo, Hongbin; Yan, Yonghong

In this letter we focus on the task of selecting the melody track from a polyphonic MIDI file. Based on the intuition that music and language are similar in many aspects, we solve the selection problem by introducing an n-gram language model to learn the melody co-occurrence patterns in a statistical manner and determine the melodic degree of a given MIDI track. Furthermore, we propose the idea of using background model and posterior probability criteria to make modeling more discriminative. In the evaluation, the achieved 81.6% correct rate indicates the feasibility of our approach.

MOCQL: A Declarative Language for Ad-Hoc Model Querying

DEFF Research Database (Denmark)

Störrle, Harald

2013-01-01

Language (MOCQL), an experimental declarative textual language to express queries (and constraints) on models. We introduce MOCQL by examples and its grammar, evaluate its usability by means of controlled experiments, and find that modelers perform better and experience less cognitive load when working...

Transformation Strategies between Block-Oriented and Graph-Oriented Process Modelling Languages

DEFF Research Database (Denmark)

Mendling, Jan; Lassen, Kristian Bisgaard; Zdun, Uwe

to abstract from concrete transformationstrategies by distinguishing two major paradigms for process modelling languages:block-oriented languages (such as BPEL and BPML) and graph-oriented languages(such as EPCs and YAWL). The contribution of this paper are generic strategiesfor transforming from block......Much recent research work discusses the transformation between differentprocess modelling languages. This work, however, is mainly focussed on specific processmodelling languages, and thus the general reusability of the applied transformationconcepts is rather limited. In this paper, we aim......-oriented process languages to graph-oriented languages,and vice versa. We also present two case studies of applying our strategies....

Semantic Models of Sentences with Verbs of Motion in Standard Language and in Scientific Language Used in Biology

Directory of Open Access Journals (Sweden)

Vita Banionytė

2016-06-01

Full Text Available The semantic models of sentences with verbs of motion in German standard language and in scientific language used in biology are analyzed in the article. In its theoretic part it is affirmed that the article is based on the semantic theory of the sentence. This theory, in its turn, is grounded on the correlation of semantic predicative classes and semantic roles. The combination of semantic predicative classes and semantic roles is expressed by the main semantic formula – proposition. In its practical part the differences between the semantic models of standard and scientific language used in biology are explained. While modelling sentences with verbs of motion, two groups of semantic models of sentences are singled out: that of action (Handlung and process (Vorgang. The analysis shows that the semantic models of sentences with semantic action predicatives dominate in the text of standard language while the semantic models of sentences with semantic process predicatives dominate in the texts of scientific language used in biology. The differences how the doer and direction are expressed in standard and in scientific language are clearly seen and the semantic cases (Agens, Patiens, Direktiv1 help to determine that. It is observed that in scientific texts of high level of specialization (biology science in contrast to popular scientific literature models of sentences with moving verbs are usually seldom found. They are substituted by denominative constructions. In conclusions it is shown that this analysis can be important in methodics, especially planning material for teaching professional-scientific language.

Modeling the Emergence of Contact Languages

Science.gov (United States)

Tria, Francesca; Servedio, Vito D.P.; Mufwene, Salikoko S.; Loreto, Vittorio

2015-01-01

Contact languages are born out of the non-trivial interaction of two (or more) parent languages. Nowadays, the enhanced possibility of mobility and communication allows for a strong mixing of languages and cultures, thus raising the issue of whether there are any pure languages or cultures that are unaffected by contact with others. As with bacteria or viruses in biological evolution, the evolution of languages is marked by horizontal transmission; but to date no reliable quantitative tools to investigate these phenomena have been available. An interesting and well documented example of contact language is the emergence of creole languages, which originated in the contacts of European colonists and slaves during the 17th and 18th centuries in exogenous plantation colonies of especially the Atlantic and Indian Ocean. Here, we focus on the emergence of creole languages to demonstrate a dynamical process that mimics the process of creole formation in American and Caribbean plantation ecologies. Inspired by the Naming Game (NG), our modeling scheme incorporates demographic information about the colonial population in the framework of a non-trivial interaction network including three populations: Europeans, Mulattos/Creoles, and Bozal slaves. We show how this sole information makes it possible to discriminate territories that produced modern creoles from those that did not, with a surprising accuracy. The generality of our approach provides valuable insights for further studies on the emergence of languages in contact ecologies as well as to test specific hypotheses about the peopling and the population structures of the relevant territories. We submit that these tools could be relevant to addressing problems related to contact phenomena in many cultural domains: e.g., emergence of dialects, language competition and hybridization, globalization phenomena. PMID:25875371

Phase transition in a sexual age-structured model of learning foreign languages

OpenAIRE

Schwammle, Veit

2005-01-01

The understanding of language competition helps us to predict extinction and survival of languages spoken by minorities. A simple agent-based model of a sexual population, based on the Penna model, is built in order to find out under which circumstances one language dominates other ones. This model considers that only young people learn foreign languages. The simulations show a first order phase transition where the ratio between the number of speakers of different languages is the order para...

MODEL NATIVIS LANGUAGE ACQUISITION DEVICE (SEBUAH TEORI PEMEROLEHAN BAHASA

Directory of Open Access Journals (Sweden)

Mamluatul Hasanah

2011-10-01

Full Text Available The ability of using mother tongue has been possessed by every child. They can master the language without getting specific education. In a short time a child has mastered the language to communicate with others. There are many theories of language acquisition. One of them that still exists is The Native Model of Language Acquisition (LAD. This theory was pioneered by Noam Chomsky. In this language naturally. This ability develops automatically when the language is used is Language Acquisition Device (LAD. LAD constitutes a hypothesis of feature of grammatical rules used progressively by a child in accordance with his psychological development.

A conceptual data model and modelling language for fields and agents

Science.gov (United States)

de Bakker, Merijn; de Jong, Kor; Schmitz, Oliver; Karssenberg, Derek

2016-04-01

Modelling is essential in order to understand environmental systems. Environmental systems are heterogeneous because they consist of fields and agents. Fields have a value defined everywhere at all times, for example surface elevation and temperature. Agents are bounded in space and time and have a value only within their bounds, for example biomass of a tree crown or the speed of a car. Many phenomena have properties of both fields and agents. Although many systems contain both fields and agents and integration of these concepts would be required for modelling, existing modelling frameworks concentrate on either agent-based or field-based modelling and are often low-level programming frameworks. A concept is lacking that integrates fields and agents in a way that is easy to use for modelers who are not software engineers. To address this issue, we develop a conceptual data model that represents fields and agents uniformly. We then show how the data model can be used in a high-level modelling language. The data model represents fields and agents in space-time. Also relations and networks can be represented using the same concepts. Using the conceptual data model we can represent static and mobile agents that may have spatial and temporal variation within their extent. The concepts we use are phenomenon, property set, item, property, domain and value. The phenomenon is the thing that is modelled, which can be any real world thing, for example trees. A phenomenon usually consists of several items, e.g. single trees. The domain is the spatiotemporal location and/or extent for which the items in the phenomenon are defined. Multiple different domains can coexist for a given phenomenon. For example a domain describing the extent of the trees and a domain describing the stem locations. The same goes for the property, which is an attribute of the thing that is being modeled. A property has a value, which is possibly discretized, for example the biomass over the tree crown

Imitation, Sign Language Skill and the Developmental Ease of Language Understanding (D-ELU) Model.

Science.gov (United States)

Holmer, Emil; Heimann, Mikael; Rudner, Mary

2016-01-01

Imitation and language processing are closely connected. According to the Ease of Language Understanding (ELU) model (Rönnberg et al., 2013) pre-existing mental representation of lexical items facilitates language understanding. Thus, imitation of manual gestures is likely to be enhanced by experience of sign language. We tested this by eliciting imitation of manual gestures from deaf and hard-of-hearing (DHH) signing and hearing non-signing children at a similar level of language and cognitive development. We predicted that the DHH signing children would be better at imitating gestures lexicalized in their own sign language (Swedish Sign Language, SSL) than unfamiliar British Sign Language (BSL) signs, and that both groups would be better at imitating lexical signs (SSL and BSL) than non-signs. We also predicted that the hearing non-signing children would perform worse than DHH signing children with all types of gestures the first time (T1) we elicited imitation, but that the performance gap between groups would be reduced when imitation was elicited a second time (T2). Finally, we predicted that imitation performance on both occasions would be associated with linguistic skills, especially in the manual modality. A split-plot repeated measures ANOVA demonstrated that DHH signers imitated manual gestures with greater precision than non-signing children when imitation was elicited the second but not the first time. Manual gestures were easier to imitate for both groups when they were lexicalized than when they were not; but there was no difference in performance between familiar and unfamiliar gestures. For both groups, language skills at T1 predicted imitation at T2. Specifically, for DHH children, word reading skills, comprehension and phonological awareness of sign language predicted imitation at T2. For the hearing participants, language comprehension predicted imitation at T2, even after the effects of working memory capacity and motor skills were taken into

Imitation, sign language skill and the Developmental Ease of Language Understanding (D-ELU model

Directory of Open Access Journals (Sweden)

Emil eHolmer

2016-02-01

Full Text Available Imitation and language processing are closely connected. According to the Ease of Language Understanding (ELU model (Rönnberg et al., 2013 pre-existing mental representation of lexical items facilitates language understanding. Thus, imitation of manual gestures is likely to be enhanced by experience of sign language. We tested this by eliciting imitation of manual gestures from deaf and hard-of-hearing (DHH signing and hearing non-signing children at a similar level of language and cognitive development. We predicted that the DHH signing children would be better at imitating gestures lexicalized in their own sign language (Swedish Sign Language, SSL than unfamiliar British Sign Language (BSL signs, and that both groups would be better at imitating lexical signs (SSL and BSL than non-signs. We also predicted that the hearing non-signing children would perform worse than DHH signing children with all types of gestures the first time (T1 we elicited imitation, but that the performance gap between groups would be reduced when imitation was elicited a second time (T2. Finally, we predicted that imitation performance on both occasions would be associated with linguistic skills, especially in the manual modality. A split-plot repeated measures ANOVA demonstrated that DHH signers imitated manual gestures with greater precision than non-signing children when imitation was elicited the second but not the first time. Manual gestures were easier to imitate for both groups when they were lexicalized than when they were not; but there was no difference in performance between familiar and unfamiliar gestures. For both groups, language skills at the T1 predicted imitation at T2. Specifically, for DHH children, word reading skills, comprehension and phonological awareness of sign language predicted imitation at T2. For the hearing participants, language comprehension predicted imitation at T2, even after the effects of working memory capacity and motor skills

Language and modeling word problems in mathematics among bilinguals.

Science.gov (United States)

Bernardo, Allan B I

2005-09-01

The study was conducted to determine whether the language of math word problems would affect how Filipino-English bilingual problem solvers would model the structure of these word problems. Modeling the problem structure was studied using the problem-completion paradigm, which involves presenting problems without the question. The paradigm assumes that problem solvers can infer the appropriate question of a word problem if they correctly grasp its problem structure. Arithmetic word problems in Filipino and English were given to bilingual students, some of whom had Filipino as a first language and others who had English as a first language. The problem-completion data and solution data showed similar results. The language of the problem had no effect on problem-structure modeling. The results were discussed in relation to a more circumscribed view about the role of language in word problem solving among bilinguals. In particular, the results of the present study showed that linguistic factors do not affect the more mathematically abstract components of word problem solving, although they may affect the other components such as those related to reading comprehension and understanding.

Linguistic steganography on Twitter: hierarchical language modeling with manual interaction

Science.gov (United States)

Wilson, Alex; Blunsom, Phil; Ker, Andrew D.

2014-02-01

This work proposes a natural language stegosystem for Twitter, modifying tweets as they are written to hide 4 bits of payload per tweet, which is a greater payload than previous systems have achieved. The system, CoverTweet, includes novel components, as well as some already developed in the literature. We believe that the task of transforming covers during embedding is equivalent to unilingual machine translation (paraphrasing), and we use this equivalence to de ne a distortion measure based on statistical machine translation methods. The system incorporates this measure of distortion to rank possible tweet paraphrases, using a hierarchical language model; we use human interaction as a second distortion measure to pick the best. The hierarchical language model is designed to model the speci c language of the covers, which in this setting is the language of the Twitter user who is embedding. This is a change from previous work, where general-purpose language models have been used. We evaluate our system by testing the output against human judges, and show that humans are unable to distinguish stego tweets from cover tweets any better than random guessing.

Parents' and speech and language therapists' explanatory models of language development, language delay and intervention.

Science.gov (United States)

Marshall, Julie; Goldbart, Juliet; Phillips, Julie

2007-01-01

Parental and speech and language therapist (SLT) explanatory models may affect engagement with speech and language therapy, but there has been dearth of research in this area. This study investigated parents' and SLTs' views about language development, delay and intervention in pre-school children with language delay. The aims were to describe, explore and explain the thoughts, understandings, perceptions, beliefs, knowledge and feelings held by: a group of parents from East Manchester, UK, whose pre-school children had been referred with suspected language delay; and SLTs working in the same area, in relation to language development, language delay and language intervention. A total of 24 unstructured interviews were carried out: 15 with parents whose children had been referred for speech and language therapy and nine with SLTs who worked with pre-school children. The interviews were transcribed verbatim and coded using Atlas/ti. The data were analysed, subjected to respondent validation, and grounded theories and principled descriptions developed to explain and describe parents' and SLTs' beliefs and views. Parent and SLT data are presented separately. There are commonalities and differences between the parents and the SLTs. Both groups believe that language development and delay are influenced by both external and internal factors. Parents give more weight to the role of gender, imitation and personality and value television and videos, whereas the SLTs value the 'right environment' and listening skills and consider that health/disability and socio-economic factors are important. Parents see themselves as experts on their child and have varied ideas about the role of SLTs, which do not always accord with SLTs' views. The parents and SLTs differ in their views of the roles of imitation and play in intervention. Parents typically try strategies before seeing an SLT. These data suggest that parents' ideas vary and that, although parents and SLTs may share some

Computer-Aided Transformation of PDE Models: Languages, Representations, and a Calculus of Operations

Science.gov (United States)

2016-01-05

Computer-aided transformation of PDE models: languages, representations, and a calculus of operations A domain-specific embedded language called...languages, representations, and a calculus of operations Report Title A domain-specific embedded language called ibvp was developed to model initial...Computer-aided transformation of PDE models: languages, representations, and a calculus of operations 1 Vision and background Physical and engineered systems

Microscopic Abrams-Strogatz model of language competition

OpenAIRE

Stauffer, Dietrich; Castello, Xavier; Eguiluz, Victor M.; Miguel, Maxi San

2006-01-01

The differential equation of Abrams and Strogatz for the competition between two languages is compared with agent based Monte Carlo simulations for fully connected networks as well as for lattices in one, two and three dimensions, with up to 10^9 agents. In the case of socially equivalent languages, agent-based models and a mean field approximation give grossly different results.

Building CMU Sphinx language model for the Ho

Directory of Open Access Journals (Sweden)

Mohamed Yassine El Amrani

2016-11-01

Full Text Available This paper investigates the use of a simplified set of Arabic phonemes in an Arabic Speech Recognition system applied to Holy Quran. The CMU Sphinx 4 was used to train and evaluate a language model for the Hafs narration of the Holy Quran. The building of the language model was done using a simplified list of Arabic phonemes instead of the mainly used Romanized set in order to simplify the process of generating the language model. The experiments resulted in very low Word Error Rate (WER reaching 1.5% while using a very small set of audio files during the training phase when using all the audio data for both the training and the testing phases. However, when using 90% and 80% of the training data, the WER obtained was respectively 50.0% and 55.7%.

English language-in-education: A lesson planning model for subject ...

African Journals Online (AJOL)

English language-in-education: A lesson planning model for subject teachers. ... lack of critical academic language skills in English as the Language of Learning and ... process of lesson design and the 'forward' process of lesson presentation.

Perancangan Aplikasi Informasi SMS untuk Alumni Unsoed Menggunakan UML (Unified Modeling Language

Directory of Open Access Journals (Sweden)

Bangun Wijayanto

2007-02-01

Full Text Available Unified Modeling Language (UML is a language which have come to the standard in industry to visualize, design and document the software system. Using UML we can make model for All software application type, where the application can also written in many language. SMS (Short Message Service is the best choice to solve geographic problems in spreading information to the alumni Unsoed. The aim of this research is to compile notation of UML (Unified Modeling Language in development of SMS Server for Alumni Unsoed. This research is conducted with software engineer method. The design result of software SMS alumni Unsoed present that UML (Unified Modeling Language help in design and software programming

Language-Independent and Language-Specific Aspects of Early Literacy: An Evaluation of the Common Underlying Proficiency Model

Science.gov (United States)

Goodrich, J. Marc; Lonigan, Christopher J.

2017-01-01

According to the common underlying proficiency model (Cummins, 1981), as children acquire academic knowledge and skills in their first language, they also acquire language-independent information about those skills that can be applied when learning a second language. The purpose of this study was to evaluate the relevance of the common underlying…

Phonological deficits in specific language impairment and developmental dyslexia: towards a multidimensional model

Science.gov (United States)

Ramus, Franck; Marshall, Chloe R.; Rosen, Stuart

2013-01-01

An on-going debate surrounds the relationship between specific language impairment and developmental dyslexia, in particular with respect to their phonological abilities. Are these distinct disorders? To what extent do they overlap? Which cognitive and linguistic profiles correspond to specific language impairment, dyslexia and comorbid cases? At least three different models have been proposed: the severity model, the additional deficit model and the component model. We address this issue by comparing children with specific language impairment only, those with dyslexia-only, those with specific language impairment and dyslexia and those with no impairment, using a broad test battery of language skills. We find that specific language impairment and dyslexia do not always co-occur, and that some children with specific language impairment do not have a phonological deficit. Using factor analysis, we find that language abilities across the four groups of children have at least three independent sources of variance: one for non-phonological language skills and two for distinct sets of phonological abilities (which we term phonological skills versus phonological representations). Furthermore, children with specific language impairment and dyslexia show partly distinct profiles of phonological deficit along these two dimensions. We conclude that a multiple-component model of language abilities best explains the relationship between specific language impairment and dyslexia and the different profiles of impairment that are observed. PMID:23413264

Innovations in Language Learning: The Oregon Chinese Flagship Model

Directory of Open Access Journals (Sweden)

Carl Falsgraf

2007-01-01

Full Text Available Language learning in the United States suffers from a culture of low expectations. Lacking bilingual role models around them, students often view language class as, at best, a way to become a tourist in a country with a language different from their own. Monolingual policymakers assume that learning another language fluently is impossible and inconsequential, since they themselves are capable professionals with one language. Educators, discouraged by years of inadequate funding and support, have come to hope for nothing more than incremental improvements. The National Flagship Language Program (NFLP aims to break this cycle of low expectations and low results by providing funding to institutions willing to accept the challenge of producing Superior (Level 3 language users through a radical re-engineering of the language learning enterprise. The need for fundamental change in language education is longstanding, but the events of September 11 brought the importance of this need to the awareness of national policymakers. Due to the emphasis of critical languages, responsibility for carrying out this fundamental re-examination of language learning has fallen to those engaged in the less commonly taught languages. 1

Two-Language, Two-Paradigm Introductory Computing Curriculum Model and its Implementation

OpenAIRE

Zanev, Vladimir; Radenski, Atanas

2011-01-01

This paper analyzes difficulties with the introduction of object-oriented concepts in introductory computing education and then proposes a two-language, two-paradigm curriculum model that alleviates such difficulties. Our two-language, two-paradigm curriculum model begins with teaching imperative programming using Python programming language, continues with teaching object-oriented computing using Java, and concludes with teaching object-oriented data structures with Java.

On Combining Language Models: Oracle Approach

National Research Council Canada - National Science Library

Hacioglu, Kadri; Ward, Wayne

2001-01-01

In this paper, we address the of combining several language models (LMs). We find that simple interpolation methods, like log-linear and linear interpolation, improve the performance but fall short of the performance of an oracle...

Enhancing English Language Planning Strategy Using a WebQuest Model

Science.gov (United States)

Al-Sayed, Rania Kamal Muhammad; Abdel-Haq, Eman Muhammad; El-Deeb, Mervat Abou-Bakr; Ali, Mahsoub Abdel-Sadeq

2016-01-01

The present study aimed at developing English language planning strategy of second year distinguished governmental language preparatory school pupils using the a WebQuest model. Fifty participants from second year at Hassan Abu-Bakr Distinguished Governmental Language School at Al-Qanater Al-Khairia (Qalubia Governorate) were randomly assigned…

Bayesian molecular design with a chemical language model

Science.gov (United States)

Ikebata, Hisaki; Hongo, Kenta; Isomura, Tetsu; Maezono, Ryo; Yoshida, Ryo

2017-04-01

The aim of computational molecular design is the identification of promising hypothetical molecules with a predefined set of desired properties. We address the issue of accelerating the material discovery with state-of-the-art machine learning techniques. The method involves two different types of prediction; the forward and backward predictions. The objective of the forward prediction is to create a set of machine learning models on various properties of a given molecule. Inverting the trained forward models through Bayes' law, we derive a posterior distribution for the backward prediction, which is conditioned by a desired property requirement. Exploring high-probability regions of the posterior with a sequential Monte Carlo technique, molecules that exhibit the desired properties can computationally be created. One major difficulty in the computational creation of molecules is the exclusion of the occurrence of chemically unfavorable structures. To circumvent this issue, we derive a chemical language model that acquires commonly occurring patterns of chemical fragments through natural language processing of ASCII strings of existing compounds, which follow the SMILES chemical language notation. In the backward prediction, the trained language model is used to refine chemical strings such that the properties of the resulting structures fall within the desired property region while chemically unfavorable structures are successfully removed. The present method is demonstrated through the design of small organic molecules with the property requirements on HOMO-LUMO gap and internal energy. The R package iqspr is available at the CRAN repository.

A new model for competition between many languages

OpenAIRE

Tuncay, Caglar

2006-01-01

Time evolutions of number of cities, population of cities, world population, and size distribution of present languages are studied in terms of a new model, where population of each city increases by a random rate and decreases by a random division. World population and size distribution of languages come out in good agreement with the available empirical data.

Advanced language modeling approaches, case study: Expert search

NARCIS (Netherlands)

Hiemstra, Djoerd

2008-01-01

This tutorial gives a clear and detailed overview of advanced language modeling approaches and tools, including the use of document priors, translation models, relevance models, parsimonious models and expectation maximization training. Expert search will be used as a case study to explain the

TumorML: Concept and requirements of an in silico cancer modelling markup language.

Science.gov (United States)

Johnson, David; Cooper, Jonathan; McKeever, Steve

2011-01-01

This paper describes the initial groundwork carried out as part of the European Commission funded Transatlantic Tumor Model Repositories project, to develop a new markup language for computational cancer modelling, TumorML. In this paper we describe the motivations for such a language, arguing that current state-of-the-art biomodelling languages are not suited to the cancer modelling domain. We go on to describe the work that needs to be done to develop TumorML, the conceptual design, and a description of what existing markup languages will be used to compose the language specification.

A universal model for languages and cities, and their lifetimes

OpenAIRE

Tuncay, Caglar

2007-01-01

Present human languages display slightly asymmetric log-normal (Gauss) distribution for size [1-3], whereas present cities follow power law (Pareto-Zipf law)[4]. Our model considers the competition between languages and that between cities in terms of growing (multiplicative noise process)[5] and fragmentation [6]; where, relevant parameters are (naturally) different for languages and cities. We consider lifetime distribution for old and living languages and that for old and living cities. We...

Andragogical Model in Language Training of Mining Specialists

Science.gov (United States)

Bondareva, Evgeniya; Chistyakova, Galina; Kleshevskyi, Yury; Sergeev, Sergey; Stepanov, Aleksey

2017-11-01

Nowadays foreign language competence is one of the main professional skills of mining engineers. Modern competitive conditions require the ability for meeting production challenges in a foreign language from specialists and managers of mining enterprises. This is the reason of high demand on foreign language training/retraining courses. Language training of adult learners fundamentally differs from children and adolescent education. The article describes the features of andragogical learning model. The authors conclude that distance learning is the most productive education form having a number of obvious advantages over traditional (in-class) one. Interactive learning method that involves active engagement of adult trainees appears to be of the greatest interest due to introduction of modern information and communication technologies for distance learning.

Conceptual language models for domain-specific retrieval

NARCIS (Netherlands)

Meij, E.; Trieschnigg, D.; de Rijke, M.; Kraaij, W.

2010-01-01

Over the years, various meta-languages have been used to manually enrich documents with conceptual knowledge of some kind. Examples include keyword assignment to citations or, more recently, tags to websites. In this paper we propose generative concept models as an extension to query modeling within

Cross-Lingual Lexical Triggers in Statistical Language Modeling

National Research Council Canada - National Science Library

Kim, Woosung; Khudanpur, Sanjeev

2003-01-01

.... We achieve this through an extension of the method of lexical triggers to the cross-language problem, and by developing a likelihoodbased adaptation scheme for combining a trigger model with an N-gram model...

A Model of Instruction for Integrating Culture and Language.

Science.gov (United States)

Papalia, Anthony

An integrated model of instruction in language and culture uses a sequential method of discovering sensation, perception, concept, and principle to develop self-analysis skills in students. When planning activities for learning a language and developing cultural understanding, teachers might follow a sequence such as the following: introduce…

Recent advances in modeling languages for pathway maps and computable biological networks.

Science.gov (United States)

Slater, Ted

2014-02-01

As our theories of systems biology grow more sophisticated, the models we use to represent them become larger and more complex. Languages necessarily have the expressivity and flexibility required to represent these models in ways that support high-resolution annotation, and provide for simulation and analysis that are sophisticated enough to allow researchers to master their data in the proper context. These languages also need to facilitate model sharing and collaboration, which is currently best done by using uniform data structures (such as graphs) and language standards. In this brief review, we discuss three of the most recent systems biology modeling languages to appear: BEL, PySB and BCML, and examine how they meet these needs. Copyright © 2014 Elsevier Ltd. All rights reserved.

Lexical prediction via forward models: N400 evidence from German Sign Language.

Science.gov (United States)

Hosemann, Jana; Herrmann, Annika; Steinbach, Markus; Bornkessel-Schlesewsky, Ina; Schlesewsky, Matthias

2013-09-01

Models of language processing in the human brain often emphasize the prediction of upcoming input-for example in order to explain the rapidity of language understanding. However, the precise mechanisms of prediction are still poorly understood. Forward models, which draw upon the language production system to set up expectations during comprehension, provide a promising approach in this regard. Here, we present an event-related potential (ERP) study on German Sign Language (DGS) which tested the hypotheses of a forward model perspective on prediction. Sign languages involve relatively long transition phases between one sign and the next, which should be anticipated as part of a forward model-based prediction even though they are semantically empty. Native speakers of DGS watched videos of naturally signed DGS sentences which either ended with an expected or a (semantically) unexpected sign. Unexpected signs engendered a biphasic N400-late positivity pattern. Crucially, N400 onset preceded critical sign onset and was thus clearly elicited by properties of the transition phase. The comprehension system thereby clearly anticipated modality-specific information about the realization of the predicted semantic item. These results provide strong converging support for the application of forward models in language comprehension. © 2013 Elsevier Ltd. All rights reserved.

The possibility of coexistence and co-development in language competition: ecology-society computational model and simulation.

Science.gov (United States)

Yun, Jian; Shang, Song-Chao; Wei, Xiao-Dan; Liu, Shuang; Li, Zhi-Jie

2016-01-01

Language is characterized by both ecological properties and social properties, and competition is the basic form of language evolution. The rise and decline of one language is a result of competition between languages. Moreover, this rise and decline directly influences the diversity of human culture. Mathematics and computer modeling for language competition has been a popular topic in the fields of linguistics, mathematics, computer science, ecology, and other disciplines. Currently, there are several problems in the research on language competition modeling. First, comprehensive mathematical analysis is absent in most studies of language competition models. Next, most language competition models are based on the assumption that one language in the model is stronger than the other. These studies tend to ignore cases where there is a balance of power in the competition. The competition between two well-matched languages is more practical, because it can facilitate the co-development of two languages. A third issue with current studies is that many studies have an evolution result where the weaker language inevitably goes extinct. From the integrated point of view of ecology and sociology, this paper improves the Lotka-Volterra model and basic reaction-diffusion model to propose an "ecology-society" computational model for describing language competition. Furthermore, a strict and comprehensive mathematical analysis was made for the stability of the equilibria. Two languages in competition may be either well-matched or greatly different in strength, which was reflected in the experimental design. The results revealed that language coexistence, and even co-development, are likely to occur during language competition.

An Integrated Framework to Specify Domain-Specific Modeling Languages

DEFF Research Database (Denmark)

Zarrin, Bahram; Baumeister, Hubert

2018-01-01

, a logic-based specification language. The drawback of MS DSL Tools is it does not provide a formal and rigorous approach for semantics specifications. In this framework, we use Microsoft DSL Tools to define the metamodel and graphical notations of DSLs, and an extended version of ForSpec as a formal......In this paper, we propose an integrated framework that can be used by DSL designers to implement their desired graphical domain-specific languages. This framework relies on Microsoft DSL Tools, a meta-modeling framework to build graphical domain-specific languages, and an extension of ForSpec...... language to define their semantics. Integrating these technologies under the umbrella of Microsoft Visual Studio IDE allows DSL designers to utilize a single development environment for developing their desired domain-specific languages....

Lexical access in sign language: a computational model.

Science.gov (United States)

Caselli, Naomi K; Cohen-Goldberg, Ariel M

2014-01-01

PSYCHOLINGUISTIC THEORIES HAVE PREDOMINANTLY BEEN BUILT UPON DATA FROM SPOKEN LANGUAGE, WHICH LEAVES OPEN THE QUESTION: How many of the conclusions truly reflect language-general principles as opposed to modality-specific ones? We take a step toward answering this question in the domain of lexical access in recognition by asking whether a single cognitive architecture might explain diverse behavioral patterns in signed and spoken language. Chen and Mirman (2012) presented a computational model of word processing that unified opposite effects of neighborhood density in speech production, perception, and written word recognition. Neighborhood density effects in sign language also vary depending on whether the neighbors share the same handshape or location. We present a spreading activation architecture that borrows the principles proposed by Chen and Mirman (2012), and show that if this architecture is elaborated to incorporate relatively minor facts about either (1) the time course of sign perception or (2) the frequency of sub-lexical units in sign languages, it produces data that match the experimental findings from sign languages. This work serves as a proof of concept that a single cognitive architecture could underlie both sign and word recognition.

Lexical access in sign language: A computational model

Directory of Open Access Journals (Sweden)

Naomi Kenney Caselli

2014-05-01

Full Text Available Psycholinguistic theories have predominantly been built upon data from spoken language, which leaves open the question: How many of the conclusions truly reflect language-general principles as opposed to modality-specific ones? We take a step toward answering this question in the domain of lexical access in recognition by asking whether a single cognitive architecture might explain diverse behavioral patterns in signed and spoken language. Chen and Mirman (2012 presented a computational model of word processing that unified opposite effects of neighborhood density in speech production, perception, and written word recognition. Neighborhood density effects in sign language also vary depending on whether the neighbors share the same handshape or location. We present a spreading activation architecture that borrows the principles proposed by Chen and Mirman (2012, and show that if this architecture is elaborated to incorporate relatively minor facts about either 1 the time course of sign perception or 2 the frequency of sub-lexical units in sign languages, it produces data that match the experimental findings from sign languages. This work serves as a proof of concept that a single cognitive architecture could underlie both sign and word recognition.

Effects of the teach-model-coach-review instructional approach on caregiver use of language support strategies and children's expressive language skills.

Science.gov (United States)

Roberts, Megan Y; Kaiser, Ann P; Wolfe, Cathy E; Bryant, Julie D; Spidalieri, Alexandria M

2014-10-01

In this study, the authors examined the effects of the Teach-Model-Coach-Review instructional approach on caregivers' use of four enhanced milieu teaching (EMT) language support strategies and on their children's use of expressive language. Four caregiver-child dyads participated in a single-subject, multiple-baseline study. Children were between 24 and 42 months of age and had language impairment. Interventionists used the Teach-Model-Coach-Review instructional approach to teach caregivers to use matched turns, expansions, time delays, and milieu teaching prompts during 24 individualized clinic sessions. Caregiver use of each EMT language support strategy and child use of communication targets were the dependent variables. The caregivers demonstrated increases in their use of each EMT language support strategy after instruction. Generalization and maintenance of strategy use to the home was limited, indicating that teaching across routines is necessary to achieve maximal outcomes. All children demonstrated gains in their use of communication targets and in their performance on norm-referenced measures of language. The results indicate that the Teach-Model-Coach-Review instructional approach resulted in increased use of EMT language support strategies by caregivers. Caregiver use of these strategies was associated with positive changes in child language skills.

Language modeling for what-with-where on GOOG-411

CSIR Research Space (South Africa)

Van Heerden, C

2009-09-01

Full Text Available . For example, consider the query “looking for restaurants in Portland Oregon.” A business annotator identifies “restaurants” as a business/category, while the location annotator identifies “portland Oregon” as a city-state. This separation enables both task...-specific data selection (location and business), and task- specific text normalization. The output of this second step is used to build the business and location language models described in Section 3. 3. Language Modeling Alternatives In this section we...

Language Model Adaptation Using Machine-Translated Text for Resource-Deficient Languages

Directory of Open Access Journals (Sweden)

Sadaoki Furui

2009-01-01

Full Text Available Text corpus size is an important issue when building a language model (LM. This is a particularly important issue for languages where little data is available. This paper introduces an LM adaptation technique to improve an LM built using a small amount of task-dependent text with the help of a machine-translated text corpus. Icelandic speech recognition experiments were performed using data, machine translated (MT from English to Icelandic on a word-by-word and sentence-by-sentence basis. LM interpolation using the baseline LM and an LM built from either word-by-word or sentence-by-sentence translated text reduced the word error rate significantly when manually obtained utterances used as a baseline were very sparse.

Categorical model of structural operational semantics for imperative language

Directory of Open Access Journals (Sweden)

William Steingartner

2016-12-01

Full Text Available Definition of programming languages consists of the formal definition of syntax and semantics. One of the most popular semantic methods used in various stages of software engineering is structural operational semantics. It describes program behavior in the form of state changes after execution of elementary steps of program. This feature makes structural operational semantics useful for implementation of programming languages and also for verification purposes. In our paper we present a new approach to structural operational semantics. We model behavior of programs in category of states, where objects are states, an abstraction of computer memory and morphisms model state changes, execution of a program in elementary steps. The advantage of using categorical model is its exact mathematical structure with many useful proved properties and its graphical illustration of program behavior as a path, i.e. a composition of morphisms. Our approach is able to accentuate dynamics of structural operational semantics. For simplicity, we assume that data are intuitively typed. Visualization and facility of our model is  not only  a  new model of structural operational semantics of imperative programming languages but it can also serve for education purposes.

A formal approach to the analysis of clinical computer-interpretable guideline modeling languages.

Science.gov (United States)

Grando, M Adela; Glasspool, David; Fox, John

2012-01-01

To develop proof strategies to formally study the expressiveness of workflow-based languages, and to investigate their applicability to clinical computer-interpretable guideline (CIG) modeling languages. We propose two strategies for studying the expressiveness of workflow-based languages based on a standard set of workflow patterns expressed as Petri nets (PNs) and notions of congruence and bisimilarity from process calculus. Proof that a PN-based pattern P can be expressed in a language L can be carried out semi-automatically. Proof that a language L cannot provide the behavior specified by a PNP requires proof by exhaustion based on analysis of cases and cannot be performed automatically. The proof strategies are generic but we exemplify their use with a particular CIG modeling language, PROforma. To illustrate the method we evaluate the expressiveness of PROforma against three standard workflow patterns and compare our results with a previous similar but informal comparison. We show that the two proof strategies are effective in evaluating a CIG modeling language against standard workflow patterns. We find that using the proposed formal techniques we obtain different results to a comparable previously published but less formal study. We discuss the utility of these analyses as the basis for principled extensions to CIG modeling languages. Additionally we explain how the same proof strategies can be reused to prove the satisfaction of patterns expressed in the declarative language CIGDec. The proof strategies we propose are useful tools for analysing the expressiveness of CIG modeling languages. This study provides good evidence of the benefits of applying formal methods of proof over semi-formal ones. Copyright © 2011 Elsevier B.V. All rights reserved.

Language policy and language learning in Macedonia Which lessons may be adopted from the Swiss model?

Directory of Open Access Journals (Sweden)

Xhaferri, Gëzim

2014-03-01

Full Text Available The following paper will investigate the acquisition of Macedonian languages in public schools and universities, focusing on the Albanian and Macedonian languages. As the saying goes: "The more languages you speak, the more human you are". Abiding by this proverb, the citizens of the Republic of Macedonia should be encouraged to become multilingual by learning the national languages. The acquisition of the national languages in a multilingual, multiethnic and multicultural country like Macedonia is, in my opinion, a necessary step toward the establishment of smooth and peaceful communication between the country's two largest cultural groups (Macedonians and Albanians, and is therefore also a prerequisite for the successful integration of every citizen into their home country's society. This paper also investigates Switzerland's multilingual and multicultural society, which serves as a successful and positive example of how a nation can deal with a multilingual population and the integration of its population. With this in mind, the question is raised here whether the model of Switzerland's language policy and national language instruction can perhaps also serve as an example for the Republic of Macedonia.

A high-level language for rule-based modelling.

Science.gov (United States)

Pedersen, Michael; Phillips, Andrew; Plotkin, Gordon D

2015-01-01

Rule-based languages such as Kappa excel in their support for handling the combinatorial complexities prevalent in many biological systems, including signalling pathways. But Kappa provides little structure for organising rules, and large models can therefore be hard to read and maintain. This paper introduces a high-level, modular extension of Kappa called LBS-κ. We demonstrate the constructs of the language through examples and three case studies: a chemotaxis switch ring, a MAPK cascade, and an insulin signalling pathway. We then provide a formal definition of LBS-κ through an abstract syntax and a translation to plain Kappa. The translation is implemented in a compiler tool which is available as a web application. We finally demonstrate how to increase the expressivity of LBS-κ through embedded scripts in a general-purpose programming language, a technique which we view as generally applicable to other domain specific languages.

The Utility of Cognitive Plausibility in Language Acquisition Modeling: Evidence from Word Segmentation

Science.gov (United States)

Phillips, Lawrence; Pearl, Lisa

2015-01-01

The informativity of a computational model of language acquisition is directly related to how closely it approximates the actual acquisition task, sometimes referred to as the model's "cognitive plausibility." We suggest that though every computational model necessarily idealizes the modeled task, an informative language acquisition…

Modeling of Future Initial Teacher of Foreign Language Training, Using Situation Analysis

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Maryana М. Sidun

2012-12-01

Full Text Available The article discloses the content of modeling of future initial teacher of foreign language, using situation analysis, defines the stages of modeling during the professional competence formation of future teacher of foreign language: preparatory, analytical and executive.

Pedagogical Model for Explicit Teaching of Reading Comprehension to English Language Learners

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Al Tiyb Al Khaiyali

2017-09-01

Full Text Available Reading comprehension instruction is considered one of the major challenges that most English language teachers and students encounter. Therefore, providing a systematic, explicit, and flexible model to teaching reading comprehension strategies could help resolve some of these challenges and increase the possibility of teaching reading comprehension, particularly in language learners’ classrooms. Consequently, the purpose of this paper is to provide a model to teach reading comprehension strategies in language learning classrooms. The proposed instructional model is divided into three systematic phases through which strategies are taught before reading, during reading, and after reading. Each phase is explained and elaborated using recommended models for teachers. Finally, suggested considerations to consolidate this model are provided.

Imitative Modeling as a Theoretical Base for Instructing Language-Disordered Children

Science.gov (United States)

Courtright, John A.; Courtright, Illene C.

1976-01-01

A modification of A. Bandura's social learning theory (imitative modeling) was employed as a theoretical base for language instruction with eight language disordered children (5 to 10 years old). (Author/SBH)

Applying the Flipped Classroom Model to English Language Arts Education

Science.gov (United States)

Young, Carl A., Ed.; Moran, Clarice M., Ed.

2017-01-01

The flipped classroom method, particularly when used with digital video, has recently attracted many supporters within the education field. Now more than ever, language arts educators can benefit tremendously from incorporating flipped classroom techniques into their curriculum. "Applying the Flipped Classroom Model to English Language Arts…

CloudLM: a Cloud-based Language Model for Machine Translation

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Ferrández-Tordera Jorge

2016-04-01

Full Text Available Language models (LMs are an essential element in statistical approaches to natural language processing for tasks such as speech recognition and machine translation (MT. The advent of big data leads to the availability of massive amounts of data to build LMs, and in fact, for the most prominent languages, using current techniques and hardware, it is not feasible to train LMs with all the data available nowadays. At the same time, it has been shown that the more data is used for a LM the better the performance, e.g. for MT, without any indication yet of reaching a plateau. This paper presents CloudLM, an open-source cloud-based LM intended for MT, which allows to query distributed LMs. CloudLM relies on Apache Solr and provides the functionality of state-of-the-art language modelling (it builds upon KenLM, while allowing to query massive LMs (as the use of local memory is drastically reduced, at the expense of slower decoding speed.

Basis of a formal language for facilitating communication among climate modelers

Energy Technology Data Exchange (ETDEWEB)

Elia, Ramon de [Climate Analysis Team, Consortium Ouranos, Montreal, QC (Canada); Universite du Quebec a Montreal, Centre ESCER, Montreal, QC (Canada)

2012-08-15

The objective of this work is to present the basis for a formal language that aims to express in a concise way some fundamental beliefs held within the climate research community. The expression of this set of beliefs takes the form of relations, conjectures or propositions that describe characteristics of different aspects of climate modeling. Examples are constructed using topics that are much discussed within the climate modeling community. The article first introduces, as elements of this formal language, models considered a priori (the model as a code or algorithm) or a posteriori (the model as output), and then presents different relations between these elements. The most important relation is that of dominance, which helps to define the superiority of one model over another based on which model a rational agent will choose. Various kinds of dominance are considered. Also presented in a formal language are propositions and conjectures relating to model development, model calibration and climate change ensemble projections, each of which are held with diverse levels of acceptance within the climate modeling community. In addition, the relevance of defining elements - models - whose existence is improbable, such as bug-free model versions, is discussed. Although the potential value of this language is shown, there remains a need to improve the definitions presented here, as some of them remain unsatisfying. Still, we believe that this attempt may help us not only communicate more clearly but also to better distinguish different schools of thought that currently exist within the community. (orig.)

WebWorkFlow : An Object-Oriented Workflow Modeling Language for Web Applications

NARCIS (Netherlands)

Hemel, Z.; Verhaaf, R.; Visser, E.

2008-01-01

Preprint of paper published in: MODELS 2008 - International Conference on Model Driven Engineering Languages and Systems, Lecture Notes in Computer Science 5301, 2008; doi:10.1007/978-3-540-87875-9_8 Workflow languages are designed for the high-level description of processes and are typically not

Modeling Languages Refine Vehicle Design

Science.gov (United States)

2009-01-01

Cincinnati, Ohio s TechnoSoft Inc. is a leading provider of object-oriented modeling and simulation technology used for commercial and defense applications. With funding from Small Business Innovation Research (SBIR) contracts issued by Langley Research Center, the company continued development on its adaptive modeling language, or AML, originally created for the U.S. Air Force. TechnoSoft then created what is now known as its Integrated Design and Engineering Analysis Environment, or IDEA, which can be used to design a variety of vehicles and machinery. IDEA's customers include clients in green industries, such as designers for power plant exhaust filtration systems and wind turbines.

Model-based design languages: A case study

OpenAIRE

Cibrario Bertolotti, Ivan; Hu, Tingting; Navet, Nicolas

2017-01-01

Fast-paced innovation in the embedded systems domain puts an ever increasing pressure on effective software development methods, leading to the growing popularity of Model-Based Design (MBD). In this context, a proper choice of modeling languages and related tools - depending on design goals and problem qualities - is crucial to make the most of MBD benefits. In this paper, a comparison between two dissimilar approaches to modeling is carried out, with the goal of highlighting their relative ...

Modelling gesture use and early language development in autism spectrum disorder.

Science.gov (United States)

Manwaring, Stacy S; Mead, Danielle L; Swineford, Lauren; Thurm, Audrey

2017-09-01

Nonverbal communication abilities, including gesture use, are impaired in autism spectrum disorder (ASD). However, little is known about how common gestures may influence or be influenced by other areas of development. To examine the relationships between gesture, fine motor and language in young children with ASD compared with a comparison group using multiple measures and methods in a structural equation modelling framework. Participants included 110 children with ASD and a non-ASD comparison group of 87 children (that included children with developmental delays (DD) or typical development (TD)), from 12 to 48 months of age. A construct of gesture use as measured by the Communication and Symbolic Behavior Scales-Developmental Profile Caregiver Questionnaire (CQ) and the Autism Diagnostic Observation Schedule (ADOS), as well as fine motor from the Mullen Scales of Early Learning and Vineland Adaptive Behavior Scales-II (VABS-II) was examined using second-order confirmatory factor analysis (CFA). A series of structural equation models then examined concurrent relationships between the aforementioned latent gesture construct and expressive and receptive language. A series of hierarchical regression analyses was run in a subsample of 36 children with ASD with longitudinal data to determine how gesture factor scores predicted later language outcomes. Across study groups, the gesture CFA model with indicators of gesture use from both the CQ (parent-reported) and ADOS (direct observation), and measures of fine motor provided good fit with all indicators significantly and strongly loading onto one gesture factor. This model of gesture use, controlling for age, was found to correlate strongly with concurrent expressive and receptive language. The correlations between gestures and concurrent language were similar in magnitude in both the ASD and non-ASD groups. In the longitudinal subsample of children with ASD, gestures at time 1 predicted later receptive (but not

Model Sistem Informasi Manajemen Sekolah Berbasiskan Notasi Unified Modeling Language

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Yohannes Kurniawan

2013-12-01

Full Text Available Basically the use of integrated information systems can be applied not only for the company, but also education industry, particularly schools. To support business processes at the school, this research would like to describe a conceptual model of information systems using the Unified Modeling Language (UML notationwith "4 +1 View" architectural model. This model is expected to assist analysis and design the whole business processes at school. A conceptual model of the information system can help application developers to easily and clearly understand the school system. By adopting this information system model, schools are able to have effective understanding of management information systems.

Virtual Sensor Web Architecture

Science.gov (United States)

Bose, P.; Zimdars, A.; Hurlburt, N.; Doug, S.

2006-12-01

NASA envisions the development of smart sensor webs, intelligent and integrated observation network that harness distributed sensing assets, their associated continuous and complex data sets, and predictive observation processing mechanisms for timely, collaborative hazard mitigation and enhanced science productivity and reliability. This paper presents Virtual Sensor Web Infrastructure for Collaborative Science (VSICS) Architecture for sustained coordination of (numerical and distributed) model-based processing, closed-loop resource allocation, and observation planning. VSICS's key ideas include i) rich descriptions of sensors as services based on semantic markup languages like OWL and SensorML; ii) service-oriented workflow composition and repair for simple and ensemble models; event-driven workflow execution based on event-based and distributed workflow management mechanisms; and iii) development of autonomous model interaction management capabilities providing closed-loop control of collection resources driven by competing targeted observation needs. We present results from initial work on collaborative science processing involving distributed services (COSEC framework) that is being extended to create VSICS.

Rosen's (M,R) system in Unified Modelling Language.

Science.gov (United States)

Zhang, Ling; Williams, Richard A; Gatherer, Derek

2016-01-01

Robert Rosen's (M,R) system is an abstract biological network architecture that is allegedly non-computable on a Turing machine. If (M,R) is truly non-computable, there are serious implications for the modelling of large biological networks in computer software. A body of work has now accumulated addressing Rosen's claim concerning (M,R) by attempting to instantiate it in various software systems. However, a conclusive refutation has remained elusive, principally since none of the attempts to date have unambiguously avoided the critique that they have altered the properties of (M,R) in the coding process, producing merely approximate simulations of (M,R) rather than true computational models. In this paper, we use the Unified Modelling Language (UML), a diagrammatic notation standard, to express (M,R) as a system of objects having attributes, functions and relations. We believe that this instantiates (M,R) in such a way than none of the original properties of the system are corrupted in the process. Crucially, we demonstrate that (M,R) as classically represented in the relational biology literature is implicitly a UML communication diagram. Furthermore, since UML is formally compatible with object-oriented computing languages, instantiation of (M,R) in UML strongly implies its computability in object-oriented coding languages. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Seamless Language Learning: Second Language Learning with Social Media

Science.gov (United States)

Wong, Lung-Hsiang; Chai, Ching Sing; Aw, Guat Poh

2017-01-01

This conceptual paper describes a language learning model that applies social media to foster contextualized and connected language learning in communities. The model emphasizes weaving together different forms of language learning activities that take place in different learning contexts to achieve seamless language learning. it promotes social…

Modelling the ICE standard with a formal language for information commerce

NARCIS (Netherlands)

Wombacher, Andreas; Aberer, K.

Automatizing information commerce requires languages to represent the typical information commerce processes. Existing languages and standards cover either only very specific types of business models or are too general to capture in a concise way the specific properties of information commerce

Modelling the ICE standard with a formal language for information commerce

OpenAIRE

Wombacher, A.; Aberer, K.

2001-01-01

Automatizing information commerce requires languages to represent the typical information commerce processes. Existing languages and standards cover either only very specific types of business models or are too general to capture in a concise way the specific properties of information commerce processes. We introduce a language that is specifically designed for information commerce. It can be directly used for the implementation of the processes and communication required in information comme...

A model of language inflection graphs

Science.gov (United States)

Fukś, Henryk; Farzad, Babak; Cao, Yi

2014-01-01

Inflection graphs are highly complex networks representing relationships between inflectional forms of words in human languages. For so-called synthetic languages, such as Latin or Polish, they have particularly interesting structure due to the abundance of inflectional forms. We construct the simplest form of inflection graphs, namely a bipartite graph in which one group of vertices corresponds to dictionary headwords and the other group to inflected forms encountered in a given text. We, then, study projection of this graph on the set of headwords. The projection decomposes into a large number of connected components, to be called word groups. Distribution of sizes of word group exhibits some remarkable properties, resembling cluster distribution in a lattice percolation near the critical point. We propose a simple model which produces graphs of this type, reproducing the desired component distribution and other topological features.

The Illinois State Interdisciplinary Model for Teaching Languages for Business.

Science.gov (United States)

Varner, Carson H., Jr.; Whitcomb, Richard O.

This model combines in a team-taught course the study of business and a foreign language. The objective is to give business students a foreign language experience in a relatively brief time and also to offer them a business-oriented introduction to a culture other than their own. Students in business courses are preparing for a career in…

A Model of Competition Among More than Two Languages

Science.gov (United States)

Fujie, Ryo; Aihara, Kazuyuki; Masuda, Naoki

2013-04-01

We extend the Abrams-Strogatz model for competition between two languages (Abrams and Strogatz in Nature 424:900, 2003) to the case of n (≥2) competing states (i.e., languages). Although the Abrams-Strogatz model for n=2 can be interpreted as modeling either majority preference or minority aversion, the two mechanisms are distinct when n≥3. We find that the condition for the coexistence of different states is independent of n under the pure majority preference, whereas it depends on n under the pure minority aversion. We also show that the stable coexistence equilibrium and stable monopoly equilibria can be multistable under the minority aversion and not under the majority preference. Furthermore, we obtain the phase diagram of the model when the effects of the majority preference and minority aversion are mixed, under the condition that different states have the same attractiveness. We show that the multistability is a generic property of the model facilitated by large n.

A model for Social Communication And Language Evolution and Development (SCALED).

Science.gov (United States)

Catani, Marco; Bambini, Valentina

2014-10-01

In humans, brain connectivity implements a system for language and communication that spans from basic pre-linguistic social abilities shared with non-human primates to syntactic and pragmatic functions particular to our species. The arcuate fasciculus is a central connection in this architecture, linking regions devoted to formal aspects of language with regions involved in intentional and social communication. Here, we outline a new anatomical model of communication that incorporates previous neurofunctional accounts of language with recent advances in tractography and neuropragmatics. The model consists of five levels, from the representation of informative actions and communicative intentions, to lexical/semantic processing, syntactic analysis, and pragmatic integration. The structure of the model is hierarchical in relation to developmental and evolutionary trajectories and it may help interpreting clinico-anatomical correlation in communication disorders. Copyright © 2014 Elsevier Ltd. All rights reserved.

Seamless Language Learning: Second Language Learning with Social Media

OpenAIRE

Wong, Lung-Hsiang; Sing-Chai, Ching; Poh-Aw, Guat

2017-01-01

This conceptual paper describes a language learning model that applies social media to foster contextualized and connected language learning in communities. The model emphasizes weaving together different forms of language learning activities that take place in different learning contexts to achieve seamless language learning. It promotes social interactions with social media about the learners’ day-to-day life using the targeted second or foreign language. The paper first identifies three ke...

Brain-computer interface with language model-electroencephalography fusion for locked-in syndrome.

Science.gov (United States)

Oken, Barry S; Orhan, Umut; Roark, Brian; Erdogmus, Deniz; Fowler, Andrew; Mooney, Aimee; Peters, Betts; Miller, Meghan; Fried-Oken, Melanie B

2014-05-01

Some noninvasive brain-computer interface (BCI) systems are currently available for locked-in syndrome (LIS) but none have incorporated a statistical language model during text generation. To begin to address the communication needs of individuals with LIS using a noninvasive BCI that involves rapid serial visual presentation (RSVP) of symbols and a unique classifier with electroencephalography (EEG) and language model fusion. The RSVP Keyboard was developed with several unique features. Individual letters are presented at 2.5 per second. Computer classification of letters as targets or nontargets based on EEG is performed using machine learning that incorporates a language model for letter prediction via Bayesian fusion enabling targets to be presented only 1 to 4 times. Nine participants with LIS and 9 healthy controls were enrolled. After screening, subjects first calibrated the system, and then completed a series of balanced word generation mastery tasks that were designed with 5 incremental levels of difficulty, which increased by selecting phrases for which the utility of the language model decreased naturally. Six participants with LIS and 9 controls completed the experiment. All LIS participants successfully mastered spelling at level 1 and one subject achieved level 5. Six of 9 control participants achieved level 5. Individuals who have incomplete LIS may benefit from an EEG-based BCI system, which relies on EEG classification and a statistical language model. Steps to further improve the system are discussed.

Aligning Grammatical Theories and Language Processing Models

Science.gov (United States)

Lewis, Shevaun; Phillips, Colin

2015-01-01

We address two important questions about the relationship between theoretical linguistics and psycholinguistics. First, do grammatical theories and language processing models describe separate cognitive systems, or are they accounts of different aspects of the same system? We argue that most evidence is consistent with the one-system view. Second,…

Multimodal Languaging as a Pedagogical Model--A Case Study of the Concept of Division in School Mathematics

Science.gov (United States)

Joutsenlahti, Jorma; Kulju, Pirjo

2017-01-01

The purpose of this study is to present a multimodal languaging model for mathematics education. The model consists of mathematical symbolic language, a pictorial language, and a natural language. By applying this model, the objective was to study how 4th grade pupils (N = 21) understand the concept of division. The data was collected over six…

Issues for a Model of Language Planning.

Science.gov (United States)

Bamgbose, Ayo

1989-01-01

Examines the following issues as they relate to a model of language planning: (1) types of decisions (policy or implemental, higher- or lower-level, rational or arbitrary); (2) the planning mechanism; (3) the role of fact finding (prepolicy, preimplementation, and intraimplementation); (4) levels of planning; and (5) the nature of status versus…

Formal specification with the Java modeling language

NARCIS (Netherlands)

Huisman, Marieke; Ahrendt, Wolfgang; Grahl, Daniel; Hentschel, Martin; Ahrendt, Wolfgang; Beckert, Bernhard; Bubel, Richard; Hähnle, Reiner; Schmitt, Peter H.; Ulbrich, Mattoas

2016-01-01

This text is a general, self contained, and tool independent introduction into the Java Modeling Language, JML. It appears in a book about the KeY approach and tool, because JML is the dominating starting point of KeY style Java verification. However, this chapter does not depend on KeY, nor any

Applicability of the Compensatory Encoding Model in Foreign Language Reading: An Investigation with Chinese College English Language Learners.

Science.gov (United States)

Han, Feifei

2017-01-01

While some first language (L1) reading models suggest that inefficient word recognition and small working memory tend to inhibit higher-level comprehension processes; the Compensatory Encoding Model maintains that slow word recognition and small working memory do not normally hinder reading comprehension, as readers are able to operate metacognitive strategies to compensate for inefficient word recognition and working memory limitation as long as readers process a reading task without time constraint. Although empirical evidence is accumulated for support of the Compensatory Encoding Model in L1 reading, there is lack of research for testing of the Compensatory Encoding Model in foreign language (FL) reading. This research empirically tested the Compensatory Encoding Model in English reading among Chinese college English language learners (ELLs). Two studies were conducted. Study one focused on testing whether reading condition varying time affects the relationship between word recognition, working memory, and reading comprehension. Students were tested on a computerized English word recognition test, a computerized Operation Span task, and reading comprehension in time constraint and non-time constraint reading. The correlation and regression analyses showed that the strength of association was much stronger between word recognition, working memory, and reading comprehension in time constraint than that in non-time constraint reading condition. Study two examined whether FL readers were able to operate metacognitive reading strategies as a compensatory way of reading comprehension for inefficient word recognition and working memory limitation in non-time constraint reading. The participants were tested on the same computerized English word recognition test and Operation Span test. They were required to think aloud while reading and to complete the comprehension questions. The think-aloud protocols were coded for concurrent use of reading strategies, classified

UNCONSTRAINED HANDWRITING RECOGNITION : LANGUAGE MODELS, PERPLEXITY, AND SYSTEM PERFORMANCE

NARCIS (Netherlands)

Marti, U-V.; Bunke, H.

2004-01-01

In this paper we present a number of language models and their behavior in the recognition of unconstrained handwritten English sentences. We use the perplexity to compare the different models and their prediction power, and relate it to the performance of a recognition system under different

Formal models, languages and applications

CERN Document Server

Rangarajan, K; Mukund, M

2006-01-01

A collection of articles by leading experts in theoretical computer science, this volume commemorates the 75th birthday of Professor Rani Siromoney, one of the pioneers in the field in India. The articles span the vast range of areas that Professor Siromoney has worked in or influenced, including grammar systems, picture languages and new models of computation. Sample Chapter(s). Chapter 1: Finite Array Automata and Regular Array Grammars (150 KB). Contents: Finite Array Automata and Regular Array Grammars (A Atanasiu et al.); Hexagonal Contextual Array P Systems (K S Dersanambika et al.); Con

Language Recognition Using Latent Dynamic Conditional Random Field Model with Phonological Features

Directory of Open Access Journals (Sweden)

Sirinoot Boonsuk

2014-01-01

Full Text Available Spoken language recognition (SLR has been of increasing interest in multilingual speech recognition for identifying the languages of speech utterances. Most existing SLR approaches apply statistical modeling techniques with acoustic and phonotactic features. Among the popular approaches, the acoustic approach has become of greater interest than others because it does not require any prior language-specific knowledge. Previous research on the acoustic approach has shown less interest in applying linguistic knowledge; it was only used as supplementary features, while the current state-of-the-art system assumes independency among features. This paper proposes an SLR system based on the latent-dynamic conditional random field (LDCRF model using phonological features (PFs. We use PFs to represent acoustic characteristics and linguistic knowledge. The LDCRF model was employed to capture the dynamics of the PFs sequences for language classification. Baseline systems were conducted to evaluate the features and methods including Gaussian mixture model (GMM based systems using PFs, GMM using cepstral features, and the CRF model using PFs. Evaluated on the NIST LRE 2007 corpus, the proposed method showed an improvement over the baseline systems. Additionally, it showed comparable result with the acoustic system based on i-vector. This research demonstrates that utilizing PFs can enhance the performance.

The Utility of Cognitive Plausibility in Language Acquisition Modeling: Evidence From Word Segmentation.

Science.gov (United States)

Phillips, Lawrence; Pearl, Lisa

2015-11-01

The informativity of a computational model of language acquisition is directly related to how closely it approximates the actual acquisition task, sometimes referred to as the model's cognitive plausibility. We suggest that though every computational model necessarily idealizes the modeled task, an informative language acquisition model can aim to be cognitively plausible in multiple ways. We discuss these cognitive plausibility checkpoints generally and then apply them to a case study in word segmentation, investigating a promising Bayesian segmentation strategy. We incorporate cognitive plausibility by using an age-appropriate unit of perceptual representation, evaluating the model output in terms of its utility, and incorporating cognitive constraints into the inference process. Our more cognitively plausible model shows a beneficial effect of cognitive constraints on segmentation performance. One interpretation of this effect is as a synergy between the naive theories of language structure that infants may have and the cognitive constraints that limit the fidelity of their inference processes, where less accurate inference approximations are better when the underlying assumptions about how words are generated are less accurate. More generally, these results highlight the utility of incorporating cognitive plausibility more fully into computational models of language acquisition. Copyright © 2015 Cognitive Science Society, Inc.

Gaussian Process Regression (GPR) Representation in Predictive Model Markup Language (PMML).

Science.gov (United States)

Park, J; Lechevalier, D; Ak, R; Ferguson, M; Law, K H; Lee, Y-T T; Rachuri, S

2017-01-01

This paper describes Gaussian process regression (GPR) models presented in predictive model markup language (PMML). PMML is an extensible-markup-language (XML) -based standard language used to represent data-mining and predictive analytic models, as well as pre- and post-processed data. The previous PMML version, PMML 4.2, did not provide capabilities for representing probabilistic (stochastic) machine-learning algorithms that are widely used for constructing predictive models taking the associated uncertainties into consideration. The newly released PMML version 4.3, which includes the GPR model, provides new features: confidence bounds and distribution for the predictive estimations. Both features are needed to establish the foundation for uncertainty quantification analysis. Among various probabilistic machine-learning algorithms, GPR has been widely used for approximating a target function because of its capability of representing complex input and output relationships without predefining a set of basis functions, and predicting a target output with uncertainty quantification. GPR is being employed to various manufacturing data-analytics applications, which necessitates representing this model in a standardized form for easy and rapid employment. In this paper, we present a GPR model and its representation in PMML. Furthermore, we demonstrate a prototype using a real data set in the manufacturing domain.

A Language for Modeling Cultural Norms, Biases and Stereotypes for Human Behavior Models

National Research Council Canada - National Science Library

Solomon, Steven; van Lent, Michael; Core, Mark; Carpenter, Paul; Rosenberg, Milton

2008-01-01

.... The Culturally-Affected Behavior project seeks to define a language for encoding ethnographic data in order to capture cultural knowledge and use that knowledge to affect human behavior models...

An analytic solution of a model of language competition with bilingualism and interlinguistic similarity

Science.gov (United States)

Otero-Espinar, M. V.; Seoane, L. F.; Nieto, J. J.; Mira, J.

2013-12-01

An in-depth analytic study of a model of language dynamics is presented: a model which tackles the problem of the coexistence of two languages within a closed community of speakers taking into account bilingualism and incorporating a parameter to measure the distance between languages. After previous numerical simulations, the model yielded that coexistence might lead to survival of both languages within monolingual speakers along with a bilingual community or to extinction of the weakest tongue depending on different parameters. In this paper, such study is closed with thorough analytical calculations to settle the results in a robust way and previous results are refined with some modifications. From the present analysis it is possible to almost completely assay the number and nature of the equilibrium points of the model, which depend on its parameters, as well as to build a phase space based on them. Also, we obtain conclusions on the way the languages evolve with time. Our rigorous considerations also suggest ways to further improve the model and facilitate the comparison of its consequences with those from other approaches or with real data.

SBRML: a markup language for associating systems biology data with models.

Science.gov (United States)

Dada, Joseph O; Spasić, Irena; Paton, Norman W; Mendes, Pedro

2010-04-01

Research in systems biology is carried out through a combination of experiments and models. Several data standards have been adopted for representing models (Systems Biology Markup Language) and various types of relevant experimental data (such as FuGE and those of the Proteomics Standards Initiative). However, until now, there has been no standard way to associate a model and its entities to the corresponding datasets, or vice versa. Such a standard would provide a means to represent computational simulation results as well as to frame experimental data in the context of a particular model. Target applications include model-driven data analysis, parameter estimation, and sharing and archiving model simulations. We propose the Systems Biology Results Markup Language (SBRML), an XML-based language that associates a model with several datasets. Each dataset is represented as a series of values associated with model variables, and their corresponding parameter values. SBRML provides a flexible way of indexing the results to model parameter values, which supports both spreadsheet-like data and multidimensional data cubes. We present and discuss several examples of SBRML usage in applications such as enzyme kinetics, microarray gene expression and various types of simulation results. The XML Schema file for SBRML is available at http://www.comp-sys-bio.org/SBRML under the Academic Free License (AFL) v3.0.

Classroom tandem – Outlining a model for language learning and ınstruction

Directory of Open Access Journals (Sweden)

Katri Karjalaınen

2013-11-01

Full Text Available The aim of this paper is to outline classroom tandem by comparing it with informal tandem learning contexts and other language instruction methods. Classroom tandem is used for second language instruction in mixed language groups in the subjects of Finnish and Swedish as L2. Tandem learning entails that two persons with different mother tongues learn each other’s native languages in reciprocal cooperation. The students function, in turns, as a second language learner and as a model in the native language. We aim to give an overview description of the interaction in classroom tandem practice. The empirical data consists of longitudinal video recordings of meetings of one tandem dyad within a co-located Swedishmedium and Finnish-medium school. Focus in the analysis is on the language aspects the informants orient to and topicalize in their interaction. The language aspects vary depending on what classroom activities they are engaged in, text-based or oral activities.

Natural language modeling

Energy Technology Data Exchange (ETDEWEB)

Sharp, J.K. [Sandia National Labs., Albuquerque, NM (United States)

1997-11-01

This seminar describes a process and methodology that uses structured natural language to enable the construction of precise information requirements directly from users, experts, and managers. The main focus of this natural language approach is to create the precise information requirements and to do it in such a way that the business and technical experts are fully accountable for the results. These requirements can then be implemented using appropriate tools and technology. This requirement set is also a universal learning tool because it has all of the knowledge that is needed to understand a particular process (e.g., expense vouchers, project management, budget reviews, tax, laws, machine function).

The Impact of the "First Language First" Model on Vocabulary Development among Preschool Bilingual Children

Science.gov (United States)

Schwartz, Mila

2014-01-01

The aim of this exploratory study was to examine the role of the "First Language First" model for preschool bilingual education in the development of vocabulary depth. The languages studied were Russian (L1) and Hebrew (L2) among bilingual children aged 4-5 years in Israel. According to this model, the children's first language of…

MEMO Organisation Modelling Language (1): Focus on organisational structure

OpenAIRE

Frank, Ulrich

2011-01-01

Organisation models are at the core of enterprise model, since they represent key aspects of a company's action system. Within MEMO, the Organisation Modelling Language (OrgML) supports the construction of organisation models. They can be divided into two main abstractions: a static abstraction is focusing on the structure of an organisation that reflects the division of labour with respect to static responsibilities and a dynamic abstraction that is focusing on models of business processes. ...

Development of clinical contents model markup language for electronic health records.

Science.gov (United States)

Yun, Ji-Hyun; Ahn, Sun-Ju; Kim, Yoon

2012-09-01

To develop dedicated markup language for clinical contents models (CCM) to facilitate the active use of CCM in electronic health record systems. Based on analysis of the structure and characteristics of CCM in the clinical domain, we designed extensible markup language (XML) based CCM markup language (CCML) schema manually. CCML faithfully reflects CCM in both the syntactic and semantic aspects. As this language is based on XML, it can be expressed and processed in computer systems and can be used in a technology-neutral way. CCML HAS THE FOLLOWING STRENGTHS: it is machine-readable and highly human-readable, it does not require a dedicated parser, and it can be applied for existing electronic health record systems.

Linguistic Models at the Crossroads of Agents, Learning and Formal Languages

Directory of Open Access Journals (Sweden)

Leonor BECERRA-BONACHE

2014-12-01

Full Text Available This paper aims at reviewing the most relevant linguistic applications developed in the intersection between three different fields: machine learning, formal language theory and agent technologies. On the one hand, we present some of the main linguistic contributions of the intersection between machine learning and formal languages, which constitutes a well-established research area known as Grammatical Inference. On the other hand, we present an overview of the main linguistic applications of models developed in the intersection between agent technologies and formal languages, such as colonies, grammar systems and eco-grammar systems. Our goal is to show how interdisciplinary research between these three fields can contribute to better understand how natural language is acquired and processed.

Model-Based Requirements Management in Gear Systems Design Based On Graph-Based Design Languages

Directory of Open Access Journals (Sweden)

Kevin Holder

2017-10-01

Full Text Available For several decades, a wide-spread consensus concerning the enormous importance of an in-depth clarification of the specifications of a product has been observed. A weak clarification of specifications is repeatedly listed as a main cause for the failure of product development projects. Requirements, which can be defined as the purpose, goals, constraints, and criteria associated with a product development project, play a central role in the clarification of specifications. The collection of activities which ensure that requirements are identified, documented, maintained, communicated, and traced throughout the life cycle of a system, product, or service can be referred to as “requirements engineering”. These activities can be supported by a collection and combination of strategies, methods, and tools which are appropriate for the clarification of specifications. Numerous publications describe the strategy and the components of requirements management. Furthermore, recent research investigates its industrial application. Simultaneously, promising developments of graph-based design languages for a holistic digital representation of the product life cycle are presented. Current developments realize graph-based languages by the diagrams of the Unified Modelling Language (UML, and allow the automatic generation and evaluation of multiple product variants. The research presented in this paper seeks to present a method in order to combine the advantages of a conscious requirements management process and graph-based design languages. Consequently, the main objective of this paper is the investigation of a model-based integration of requirements in a product development process by means of graph-based design languages. The research method is based on an in-depth analysis of an exemplary industrial product development, a gear system for so-called “Electrical Multiple Units” (EMU. Important requirements were abstracted from a gear system

Optlang: An algebraic modeling language for mathematical optimization

DEFF Research Database (Denmark)

Jensen, Kristian; Cardoso, Joao; Sonnenschein, Nikolaus

2016-01-01

Optlang is a Python package implementing a modeling language for solving mathematical optimization problems, i.e., maximizing or minimizing an objective function over a set of variables subject to a number of constraints. It provides a common native Python interface to a series of optimization...

Channel-dependent GMM and multi-class logistic: Regression models for language recognition

NARCIS (Netherlands)

Leeuwen, D.A. van; Brümmer, Niko

2006-01-01

This paper describes two new approaches to spoken language recognition. These were both successfully applied in the NIST 2005 Language Recognition Evaluation. The first approach extends the Gaussian Mixture Model technique with channel dependency, which results in actual detection costs (CDET) of

Language shift, bilingualism and the future of Britain's Celtic languages.

Science.gov (United States)

Kandler, Anne; Unger, Roman; Steele, James

2010-12-12

'Language shift' is the process whereby members of a community in which more than one language is spoken abandon their original vernacular language in favour of another. The historical shifts to English by Celtic language speakers of Britain and Ireland are particularly well-studied examples for which good census data exist for the most recent 100-120 years in many areas where Celtic languages were once the prevailing vernaculars. We model the dynamics of language shift as a competition process in which the numbers of speakers of each language (both monolingual and bilingual) vary as a function both of internal recruitment (as the net outcome of birth, death, immigration and emigration rates of native speakers), and of gains and losses owing to language shift. We examine two models: a basic model in which bilingualism is simply the transitional state for households moving between alternative monolingual states, and a diglossia model in which there is an additional demand for the endangered language as the preferred medium of communication in some restricted sociolinguistic domain, superimposed on the basic shift dynamics. Fitting our models to census data, we successfully reproduce the demographic trajectories of both languages over the past century. We estimate the rates of recruitment of new Scottish Gaelic speakers that would be required each year (for instance, through school education) to counteract the 'natural wastage' as households with one or more Gaelic speakers fail to transmit the language to the next generation informally, for different rates of loss during informal intergenerational transmission.

Language shift, bilingualism and the future of Britain's Celtic languages

Science.gov (United States)

Kandler, Anne; Unger, Roman; Steele, James

2010-01-01

‘Language shift’ is the process whereby members of a community in which more than one language is spoken abandon their original vernacular language in favour of another. The historical shifts to English by Celtic language speakers of Britain and Ireland are particularly well-studied examples for which good census data exist for the most recent 100–120 years in many areas where Celtic languages were once the prevailing vernaculars. We model the dynamics of language shift as a competition process in which the numbers of speakers of each language (both monolingual and bilingual) vary as a function both of internal recruitment (as the net outcome of birth, death, immigration and emigration rates of native speakers), and of gains and losses owing to language shift. We examine two models: a basic model in which bilingualism is simply the transitional state for households moving between alternative monolingual states, and a diglossia model in which there is an additional demand for the endangered language as the preferred medium of communication in some restricted sociolinguistic domain, superimposed on the basic shift dynamics. Fitting our models to census data, we successfully reproduce the demographic trajectories of both languages over the past century. We estimate the rates of recruitment of new Scottish Gaelic speakers that would be required each year (for instance, through school education) to counteract the ‘natural wastage’ as households with one or more Gaelic speakers fail to transmit the language to the next generation informally, for different rates of loss during informal intergenerational transmission. PMID:21041210

Episodic grammar: a computational model of the interaction between episodic and semantic memory in language processing

NARCIS (Netherlands)

Borensztajn, G.; Zuidema, W.; Carlson, L.; Hoelscher, C.; Shipley, T.F.

2011-01-01

We present a model of the interaction of semantic and episodic memory in language processing. Our work shows how language processing can be understood in terms of memory retrieval. We point out that the perceived dichotomy between rule-based versus exemplar-based language modelling can be

State impulsive control strategies for a two-languages competitive model with bilingualism and interlinguistic similarity

Science.gov (United States)

Nie, Lin-Fei; Teng, Zhi-Dong; Nieto, Juan J.; Jung, Il Hyo

2015-07-01

For reasons of preserving endangered languages, we propose, in this paper, a novel two-languages competitive model with bilingualism and interlinguistic similarity, where state-dependent impulsive control strategies are introduced. The novel control model includes two control threshold values, which are different from the previous state-dependent impulsive differential equations. By using qualitative analysis method, we obtain that the control model exhibits two stable positive order-1 periodic solutions under some general conditions. Moreover, numerical simulations clearly illustrate the main theoretical results and feasibility of state-dependent impulsive control strategies. Meanwhile numerical simulations also show that state-dependent impulsive control strategy can be applied to other general two-languages competitive model and obtain the desired result. The results indicate that the fractions of two competitive languages can be kept within a reasonable level under almost any circumstances. Theoretical basis for finding a new control measure to protect the endangered language is offered.

The Language Growth of Spanish-Speaking English Language Learners

Science.gov (United States)

Rojas, Raul; Iglesias, Aquiles

2013-01-01

Although the research literature regarding language growth trajectories is burgeoning, the shape and direction of English Language Learners' (ELLs) language growth trajectories are largely not known. This study used growth curve modeling to determine the shape of ELLs' language growth trajectories across 12,248 oral narrative language samples…

Multidimensional Data Model and Query Language for Informetrics.

Science.gov (United States)

Niemi, Timo; Hirvonen, Lasse; Jarvelin, Kalervo

2003-01-01

Discusses multidimensional data analysis, or online analytical processing (OLAP), which offer a single subject-oriented source for analyzing summary data based on various dimensions. Develops a conceptual/logical multidimensional model for supporting the needs of informetrics, including a multidimensional query language whose basic idea is to…

Implications of Multimodal Learning Models for foreign language teaching and learning

Directory of Open Access Journals (Sweden)

Miguel Farías

2011-04-01

Full Text Available This literature review article approaches the topic of information and communications technologies from the perspective of their impact on the language learning process, with particular emphasis on the most appropriate designs of multimodal texts as informed by models of multimodal learning. The first part contextualizes multimodality within the fields of discourse studies, the psychology of learning and CALL; the second, deals with multimodal conceptions of reading and writing by discussing hypertextuality and literacy. A final section outlines the possible implications of multimodal learning models for foreign language teaching and learning.

An ontology model for nursing narratives with natural language generation technology.

Science.gov (United States)

Min, Yul Ha; Park, Hyeoun-Ae; Jeon, Eunjoo; Lee, Joo Yun; Jo, Soo Jung

2013-01-01

The purpose of this study was to develop an ontology model to generate nursing narratives as natural as human language from the entity-attribute-value triplets of a detailed clinical model using natural language generation technology. The model was based on the types of information and documentation time of the information along the nursing process. The typesof information are data characterizing the patient status, inferences made by the nurse from the patient data, and nursing actions selected by the nurse to change the patient status. This information was linked to the nursing process based on the time of documentation. We describe a case study illustrating the application of this model in an acute-care setting. The proposed model provides a strategy for designing an electronic nursing record system.

A method of LED free-form tilted lens rapid modeling based on scheme language

Science.gov (United States)

Dai, Yidan

2017-10-01

According to nonimaging optical principle and traditional LED free-form surface lens, a new kind of LED free-form tilted lens was designed. And a method of rapid modeling based on Scheme language was proposed. The mesh division method was applied to obtain the corresponding surface configuration according to the character of the light source and the desired energy distribution on the illumination plane. Then 3D modeling software and the Scheme language programming are used to generate lens model respectively. With the help of optical simulation software, a light source with the size of 1mm*1mm*1mm in volume is used in experiment, and the lateral migration distance of illumination area is 0.5m, in which total one million rays are computed. We could acquire the simulated results of both models. The simulated output result shows that the Scheme language can prevent the model deformation problems caused by the process of the model transfer, and the degree of illumination uniformity is reached to 82%, and the offset angle is 26°. Also, the efficiency of modeling process is greatly increased by using Scheme language.

A language-based approach to modelling and analysis of Twitter interactions

DEFF Research Database (Denmark)

Maggi, Alessandro; Petrocchi, Marinella; Spognardi, Angelo

2017-01-01

More than a personal microblogging site, Twitter has been transformed by common use to an information publishing venue, which public characters, media channels and common people daily rely on for, e.g., news reporting and consumption, marketing, and social messaging. The use of Twitter...... in a cooperative and interactive setting calls for the precise awareness of the dynamics regulating message spreading. In this paper, we describe Twitlang, a language for modelling the interactions among Twitter accounts. The associated operational semantics allows users to precisely determine the effects...... of their actions on Twitter, such as post, reply-to or delete tweets. The language is implemented in the form of a Maude interpreter, Twitlanger, which takes a language term as an input and explores the computations arising from the term. By combining the strength of Twitlanger and the Maude model checker...

Declarative versus imperative process modeling languages : the issue of maintainability

NARCIS (Netherlands)

Fahland, D.; Mendling, J.; Reijers, H.A.; Weber, B.; Weidlich, M.; Zugal, S.; Rinderle-Ma, S.; Sadiq, S.; Leymann, F.

2010-01-01

The rise of interest in declarative languages for process modeling both justifies and demands empirical investigations into their presumed advantages over more traditional, imperative alternatives. Our concern in this paper is with the ease of maintaining business process models, for example due to

Comparative Effectiveness of Echoic and Modeling Procedures in Language Instruction With Culturally Disadvantaged Children.

Science.gov (United States)

Stern, Carolyn; Keislar, Evan

In an attempt to explore a systematic approach to language expansion and improved sentence structure, echoic and modeling procedures for language instruction were compared. Four hypotheses were formulated: (1) children who use modeling procedures will produce better structured sentences than children who use echoic prompting, (2) both echoic and…

Language learning apps or games: an investigation utilizing the RETAIN model

Directory of Open Access Journals (Sweden)

Glenda A. Gunter

2016-01-01

Full Text Available Abstract: Combining games with mobile devices can promote learning opportunities at the learners' fingertips and enable ubiquitous learning experiences. As teachers increasingly assign games to reinforce language learning, it becomes essential to evaluate how effective these applications are in helping students learn the content or develop the skills that the games are reinforcing. This article examines two English language learning apps under the RETAIN model (GUNTER; KENNY; VICK, 2008. The findings indicate that although these apps offer some language learning opportunities, they do not present scenario-based quality or gameplay, among other elements, if they are to be considered games.

Efficient Embedded Decoding of Neural Network Language Models in a Machine Translation System.

Science.gov (United States)

Zamora-Martinez, Francisco; Castro-Bleda, Maria Jose

2018-02-22

Neural Network Language Models (NNLMs) are a successful approach to Natural Language Processing tasks, such as Machine Translation. We introduce in this work a Statistical Machine Translation (SMT) system which fully integrates NNLMs in the decoding stage, breaking the traditional approach based on [Formula: see text]-best list rescoring. The neural net models (both language models (LMs) and translation models) are fully coupled in the decoding stage, allowing to more strongly influence the translation quality. Computational issues were solved by using a novel idea based on memorization and smoothing of the softmax constants to avoid their computation, which introduces a trade-off between LM quality and computational cost. These ideas were studied in a machine translation task with different combinations of neural networks used both as translation models and as target LMs, comparing phrase-based and [Formula: see text]-gram-based systems, showing that the integrated approach seems more promising for [Formula: see text]-gram-based systems, even with nonfull-quality NNLMs.

Conformance test development with the Java modeling language

DEFF Research Database (Denmark)

Søndergaard, Hans; Korsholm, Stephan E.; Ravn, Anders P.

2017-01-01

In order to claim conformance with a Java Specification Request, a Java implementation has to pass all tests in an associated Technology Compatibility Kit (TCK). This paper presents a model-based development of a TCK test suite and a test execution tool for the draft Safety-Critical Java (SCJ......) profile specification. The Java Modeling Language (JML) is used to model conformance constraints for the profile. JML annotations define contracts for classes and interfaces. The annotations are translated by a tool into runtime assertion checks.Hereby the design and elaboration of the concrete test cases...

Definition of an Object-Oriented Modeling Language for Enterprise Architecture

OpenAIRE

Lê, Lam Son; Wegmann, Alain

2005-01-01

In enterprise architecture, the goal is to integrate business resources and IT resources in order to improve an enterprises competitiveness. In an enterprise architecture project, the development team usually constructs a model that represents the enterprise: the enterprise model. In this paper, we present a modeling language for building such enterprise models. Our enterprise models are hierarchical object-oriented representations of the enterprises. This paper presents the foundations of o...

Effects of Mode of Modeling, Model Age, and Ethnicity on Rule-Governed Language Behaviors

Science.gov (United States)

Grieshop, James I.; Harris, Mary B.

1974-01-01

The effect of three model variables on student performance of syntactic and semantic language behaviors in the absence of direct or vicarious reinforcement was examined. Subjects were sixth-grade students of both sexes attending New Mexico Schools. Half of the subjects and models were Chicanos and half were Anglos. (BJG)

L-Py: an L-System simulation framework for modeling plant development based on a dynamic language

Directory of Open Access Journals (Sweden)

Frederic eBoudon

2012-05-01

Full Text Available The study of plant development requires increasingly powerful modeling tools to help understand and simulate the growth and functioning of plants. In the last decade, the formalism of L-systems has emerged as a major paradigm for modeling plant development. Previous implementations of this formalism were made based on static languages, i.e. languages that require explicit definition of variable types before using them. These languages are often efficient but involve quite a lot of syntactic overhead, thus restricting the flexibility of use for modelers. In this work, we present an adaptation of L-systems to the Python language, a popular and powerful open-license dynamic language. We show that the use of dynamic language properties makes it possible to enhance the development of plant growth models: i by keeping a simple syntax while allowing for high-level programming constructs, ii by making code execution easy and avoiding compilation overhead iii allowing a high level of model reusability and the building of complex modular models iv and by providing powerful solutions to integrate MTG data-structures (that are a common way to represent plants at several scales into L-systems and thus enabling to use a wide spectrum of computer tools based on MTGs developed for plant architecture. We then illustrate the use of L-Py in real applications to build complex models or to teach plant modeling in the classroom.

Syntactic discriminative language model rerankers for statistical machine translation

NARCIS (Netherlands)

Carter, S.; Monz, C.

2011-01-01

This article describes a method that successfully exploits syntactic features for n-best translation candidate reranking using perceptrons. We motivate the utility of syntax by demonstrating the superior performance of parsers over n-gram language models in differentiating between Statistical

Selected Topics on Systems Modeling and Natural Language Processing: Editorial Introduction to the Issue 7 of CSIMQ

Directory of Open Access Journals (Sweden)

Witold Andrzejewski

2016-07-01

Full Text Available The seventh issue of Complex Systems Informatics and Modeling Quarterly presents five papers devoted to two distinct research topics: systems modeling and natural language processing (NLP. Both of these subjects are very important in computer science. Through modeling we can simplify the studied problem by concentrating on only one aspect at a time. Moreover, a properly constructed model allows the modeler to work on higher levels of abstraction and not having to concentrate on details. Since the size and complexity of information systems grows rapidly, creating good models of such systems is crucial. The analysis of natural language is slowly becoming a widely used tool in commerce and day to day life. Opinion mining allows recommender systems to provide accurate recommendations based on user-generated reviews. Speech recognition and NLP are the basis for such widely used personal assistants as Apple’s Siri, Microsoft’s Cortana, and Google Now. While a lot of work has already been done on natural language processing, the research usually concerns widely used languages, such as English. Consequently, natural language processing in languages other than English is very relevant subject and is addressed in this issue.

A methodology to annotate systems biology markup language models with the synthetic biology open language.

Science.gov (United States)

Roehner, Nicholas; Myers, Chris J

2014-02-21

Recently, we have begun to witness the potential of synthetic biology, noted here in the form of bacteria and yeast that have been genetically engineered to produce biofuels, manufacture drug precursors, and even invade tumor cells. The success of these projects, however, has often failed in translation and application to new projects, a problem exacerbated by a lack of engineering standards that combine descriptions of the structure and function of DNA. To address this need, this paper describes a methodology to connect the systems biology markup language (SBML) to the synthetic biology open language (SBOL), existing standards that describe biochemical models and DNA components, respectively. Our methodology involves first annotating SBML model elements such as species and reactions with SBOL DNA components. A graph is then constructed from the model, with vertices corresponding to elements within the model and edges corresponding to the cause-and-effect relationships between these elements. Lastly, the graph is traversed to assemble the annotating DNA components into a composite DNA component, which is used to annotate the model itself and can be referenced by other composite models and DNA components. In this way, our methodology can be used to build up a hierarchical library of models annotated with DNA components. Such a library is a useful input to any future genetic technology mapping algorithm that would automate the process of composing DNA components to satisfy a behavioral specification. Our methodology for SBML-to-SBOL annotation is implemented in the latest version of our genetic design automation (GDA) software tool, iBioSim.

Cell layer level generalized dynamic modeling of a PEMFC stack using VHDL-AMS language

Energy Technology Data Exchange (ETDEWEB)

Gao, Fei; Blunier, Benjamin; Miraoui, Abdellatif; El-Moudni, Abdellah [Transport and Systems Laboratory (SeT) - EA 3317/UTBM, University of Technology of Belfort-Montbeliard, Rue Thierry Mieg, 90000 Belfort (France)

2009-07-15

A generalized, cell layer scale proton exchange membrane fuel cell (PEMFC) stack dynamic model is presented using VHDL-AMS (IEEE standard Very High Speed Integrated Circuit Hardware Description Language-Analog and Mixed-Signal Extensions) modeling language. A PEMFC stack system is a complex energy conversion system that covers three main energy domains: electrical, fluidic and thermal. The first part of this work shows the performance and the advantages of VHDL-AMS language when modeling such a complex system. Then, using the VHDL-AMS modeling standards, an electrical domain model, a fluidic domain model and a thermal domain model of the PEMFC stack are coupled and presented together. Thus, a complete coupled multi-domain fuel cell stack 1-D dynamic model is given. The simulation results are then compared with a Ballard 1.2 kW NEXA fuel cell system, and show a great agreement between the simulation and experimentation. This complex multi-domain VHDL-AMS stack model can be used for a model based control design or a Hardware-In-the-Loop application. (author)

Language as skill

DEFF Research Database (Denmark)

Chater, Nick; McCauley, Stewart M.; Christiansen, M. H.

2016-01-01

occurs on-line. These properties are difficult to reconcile with the 'abstract knowledge' viewpoint, and crucially suggest that language comprehension and production are facets of a unitary skill. This viewpoint is exemplified in the Chunk-Based Learner, a computational acquisition model that processes...... incrementally and learns on-line. The model both parses and produces language; and implements the idea that language acquisition is nothing more than learning to process. We suggest that the Now-or-Never bottleneck also provides a strong motivation for unified perception-production models in other domains......Are comprehension and production a single, integrated skill, or are they separate processes drawing on a shared abstract knowledge of language? We argue that a fundamental constraint on memory, the Now-or-Never bottleneck, implies that language processing is incremental and that language learning...

Learning a generative probabilistic grammar of experience: a process-level model of language acquisition.

Science.gov (United States)

Kolodny, Oren; Lotem, Arnon; Edelman, Shimon

2015-03-01

We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in this manner takes the form of a directed weighted graph, whose nodes are recursively (hierarchically) defined patterns over the elements of the input stream. We evaluated the model in seventeen experiments, grouped into five studies, which examined, respectively, (a) the generative ability of grammar learned from a corpus of natural language, (b) the characteristics of the learned representation, (c) sequence segmentation and chunking, (d) artificial grammar learning, and (e) certain types of structure dependence. The model's performance largely vindicates our design choices, suggesting that progress in modeling language acquisition can be made on a broad front-ranging from issues of generativity to the replication of human experimental findings-by bringing biological and computational considerations, as well as lessons from prior efforts, to bear on the modeling approach. Copyright © 2014 Cognitive Science Society, Inc.

LCM 3.0: A Language for describing Conceptual Models

NARCIS (Netherlands)

Feenstra, Remco; Wieringa, Roelf J.

1993-01-01

The syntax of the conceptual model specification language LCM is defined. LCM uses equational logic to specify data types and order-sorted dynamic logic to specify objects with identity and mutable state. LCM specifies database transactions as finite sets of atomic object transitions.

Relating the new language models of information retrieval to the traditional retrieval models

NARCIS (Netherlands)

Hiemstra, Djoerd; de Vries, A.P.

During the last two years, exciting new approaches to information retrieval were introduced by a number of different research groups that use statistical language models for retrieval. This paper relates the retrieval algorithms suggested by these approaches to widely accepted retrieval algorithms

A Domain-Specific Language for Generic Interlocking Models and Their Properties

DEFF Research Database (Denmark)

Vu, Linh Hong; Haxthausen, Anne Elisabeth; Peleska, Jan

2017-01-01

of this work is to provide a domain-specific language for generic models and an instantiator tool taking not only configuration data but also a generic model as input instead of using a hard-coded generator for instantiating only one fixed generic model and its properties with configuration data....

A Policy Language for Modelling Recommendations

Science.gov (United States)

Abou El Kalam, Anas; Balbiani, Philippe

While current and emergent applications become more and more complex, most of existing security policies and models only consider a yes/no response to the access requests. Consequently, modelling, formalizing and implementing permissions, obligations and prohibitions do not cover the richness of all the possible scenarios. In fact, several applications have access rules with the recommendation access modality. In this paper we focus on the problem of formalizing security policies with recommendation needs. The aim is to provide a generic domain-independent formal system for modelling not only permissions, prohibitions and obligations, but also recommendations. In this respect, we present our logic-based language, the semantics, the truth conditions, our axiomatic as well as inference rules. We also give a representative use case with our specification of recommendation requirements. Finally, we explain how our logical framework could be used to query the security policy and to check its consistency.

Why Are There Developmental Stages in Language Learning? A Developmental Robotics Model of Language Development.

Science.gov (United States)

Morse, Anthony F; Cangelosi, Angelo

2017-02-01

Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in stages. Models that do span multiple developmental stages typically have parameters to "switch" between stages. We argue that by taking an embodied view, the interaction between learning mechanisms, the resulting behavior of the agent, and the opportunities for learning that the environment provides can account for the stage-wise development of cognitive abilities. We summarize work relevant to this hypothesis and suggest two simple mechanisms that account for some developmental transitions: neural readiness focuses on changes in the neural substrate resulting from ongoing learning, and perceptual readiness focuses on the perceptual requirements for learning new tasks. Previous work has demonstrated these mechanisms in replications of a wide variety of infant language experiments, spanning multiple developmental stages. Here we piece this work together as a single model of ongoing learning with no parameter changes at all. The model, an instance of the Epigenetic Robotics Architecture (Morse et al 2010) embodied on the iCub humanoid robot, exhibits ongoing multi-stage development while learning pre-linguistic and then basic language skills. Copyright © 2016 Cognitive Science Society, Inc.

BPMN4SOA : A service oriented process modelling language

OpenAIRE

Bergstøl, Eivind

2010-01-01

Service oriented architectures have become very popular the last few years. The abstraction of computer systems into a service paradigm bring many new solutions, both for cross business processes to aid interoperability and the reuse of existing legacy systems in a new network centric world. In the wake of this, service modelling has become a part of OMGs Model Driven Architecture and new modelling languages that are based on past experience for the new paradigm are emerging. BPMN 2.0 and...

The Ease of Language Understanding (ELU model: theoretical, empirical, and clinical advances

Directory of Open Access Journals (Sweden)

Jerker eRönnberg

2013-07-01

Full Text Available Working memory is important for online language processing during conversation. We use it to maintain relevant information, to inhibit or ignore irrelevant information, and to attend to conversation selectively. Working memory helps us to keep track of and actively participate in conversation, including taking turns and following the gist. This paper examines the Ease of Language Understanding model (i.e., the ELU model, Rönnberg, 2003; Rönnberg et al., 2008 in light of new behavioral and neural findings concerning the role of working memory capacity (WMC in uni-modal and bimodal language processing. The new ELU model is a meaning prediction system that depends on phonological and semantic interactions in rapid implicit and slower explicit processing mechanisms that both depend on WMC albeit in different ways. A revised ELU model is proposed based on findings that address the relationship between WMC and (a early attention processes in listening to speech, (b signal processing in hearing aids and its effects on short-term memory, (c inhibition of speech maskers and its effect on episodic long-term memory, (d the effects of hearing impairment on episodic and semantic long-term memory, and finally, (e listening effort. New predictions and clinical implications are outlined. Comparisons with other WMC and speech perception models are made.

Language Planning and Planned Languages: How Can Planned Languages Inform Language Planning?

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Humphrey Tonkin

2015-04-01

Full Text Available The field of language planning (LP has largely ignored planned languages. Of classic descriptions of LP processes, only Tauli (preceded by Wüster suggests that planned languages (what Wüster calls Plansprache might bear on LP theory and practice. If LP aims "to modify the linguistic behaviour of some community for some reason," as Kaplan and Baldauf put it, creating a language de novo is little different. Language policy and planning are increasingly seen as more local and less official, and occasionally more international and cosmopolitan. Zamenhof's work on Esperanto provides extensive material, little studied, documenting the formation of the language and linking it particularly to issues of supranational LP. Defining LP decision-making, Kaplan & Baldauf begin with context and target population. Zamenhof's Esperanto came shortly before Ben-Yehuda's revived Hebrew. His target community was (mostly the world's educated elite; Ben-Yehuda's was worldwide Jewry. Both planners were driven not by linguistic interest but by sociopolitical ideology rooted in reaction to anti-Semitism and imbued with the idea of progress. Their territories had no boundaries, but were not imaginary. Function mattered as much as form (Haugen's terms, status as much as corpus. For Zamenhof, status planning involved emphasis on Esperanto's ownership by its community - a collective planning process embracing all speakers (cf. Hebrew. Corpus planning included a standardized European semantics, lexical selectivity based not simply on standardization but on representation, and the development of written, and literary, style. Esperanto was successful as linguistic system and community language, less as generally accepted lingua franca. Its terminology development and language cultivation offers a model for language revival, but Zamenhof's somewhat limited analysis of language economy left him unprepared to deal with language as power.

L-py: an L-system simulation framework for modeling plant architecture development based on a dynamic language.

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Boudon, Frédéric; Pradal, Christophe; Cokelaer, Thomas; Prusinkiewicz, Przemyslaw; Godin, Christophe

2012-01-01

The study of plant development requires increasingly powerful modeling tools to help understand and simulate the growth and functioning of plants. In the last decade, the formalism of L-systems has emerged as a major paradigm for modeling plant development. Previous implementations of this formalism were made based on static languages, i.e., languages that require explicit definition of variable types before using them. These languages are often efficient but involve quite a lot of syntactic overhead, thus restricting the flexibility of use for modelers. In this work, we present an adaptation of L-systems to the Python language, a popular and powerful open-license dynamic language. We show that the use of dynamic language properties makes it possible to enhance the development of plant growth models: (i) by keeping a simple syntax while allowing for high-level programming constructs, (ii) by making code execution easy and avoiding compilation overhead, (iii) by allowing a high-level of model reusability and the building of complex modular models, and (iv) by providing powerful solutions to integrate MTG data-structures (that are a common way to represent plants at several scales) into L-systems and thus enabling to use a wide spectrum of computer tools based on MTGs developed for plant architecture. We then illustrate the use of L-Py in real applications to build complex models or to teach plant modeling in the classroom.

Leveraging Small-Lexicon Language Models

Science.gov (United States)

2016-12-31

Glottolog/ ... a typical example: ./geo_distance.tsv – geographical distance sets (0 to 500 km, by 100km) ./ety_distance.tsv – genetic distance...normalizing notation affected automated syllabification; while tweaks of language and subbranch-specific syllable-break rubrics affected proper...many languages – an index that points to the forms that are most likely to be genetically related, but still respects semantic variation between

Genetic biasing through cultural transmission: do simple Bayesian models of language evolution generalize?

Science.gov (United States)

Dediu, Dan

2009-08-07

The recent Bayesian approaches to language evolution and change seem to suggest that genetic biases can impact on the characteristics of language, but, at the same time, that its cultural transmission can partially free it from these same genetic constraints. One of the current debates centres on the striking differences between sampling and a posteriori maximising Bayesian learners, with the first converging on the prior bias while the latter allows a certain freedom to language evolution. The present paper shows that this difference disappears if populations more complex than a single teacher and a single learner are considered, with the resulting behaviours more similar to the sampler. This suggests that generalisations based on the language produced by Bayesian agents in such homogeneous single agent chains are not warranted. It is not clear which of the assumptions in such models are responsible, but these findings seem to support the rising concerns on the validity of the "acquisitionist" assumption, whereby the locus of language change and evolution is taken to be the first language acquirers (children) as opposed to the competent language users (the adults).

Bilingual Language Switching: Production vs. Recognition

Science.gov (United States)

Mosca, Michela; de Bot, Kees

2017-01-01

This study aims at assessing how bilinguals select words in the appropriate language in production and recognition while minimizing interference from the non-appropriate language. Two prominent models are considered which assume that when one language is in use, the other is suppressed. The Inhibitory Control (IC) model suggests that, in both production and recognition, the amount of inhibition on the non-target language is greater for the stronger compared to the weaker language. In contrast, the Bilingual Interactive Activation (BIA) model proposes that, in language recognition, the amount of inhibition on the weaker language is stronger than otherwise. To investigate whether bilingual language production and recognition can be accounted for by a single model of bilingual processing, we tested a group of native speakers of Dutch (L1), advanced speakers of English (L2) in a bilingual recognition and production task. Specifically, language switching costs were measured while participants performed a lexical decision (recognition) and a picture naming (production) task involving language switching. Results suggest that while in language recognition the amount of inhibition applied to the non-appropriate language increases along with its dominance as predicted by the IC model, in production the amount of inhibition applied to the non-relevant language is not related to language dominance, but rather it may be modulated by speakers' unconscious strategies to foster the weaker language. This difference indicates that bilingual language recognition and production might rely on different processing mechanisms and cannot be accounted within one of the existing models of bilingual language processing. PMID:28638361

Synchronous Modeling of Modular Avionics Architectures using the SIGNAL Language

OpenAIRE

Gamatié , Abdoulaye; Gautier , Thierry

2002-01-01

This document presents a study on the modeling of architecture components for avionics applications. We consider the avionics standard ARINC 653 specifications as basis, as well as the synchronous language SIGNAL to describe the modeling. A library of APEX object models (partition, process, communication and synchronization services, etc.) has been implemented. This should allow to describe distributed real-time applications using POLYCHRONY, so as to access formal tools and techniques for ar...

Is Afrikaans a suitable model in planning the development of African Languages?

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Stanley G M Ridge

2008-08-01

Full Text Available The repeated claim that Afrikaans provides a useful model for planning the development of theAfrican languages is examined critically in this article with a view to elucidating importantissues in South African language planning. The first part acknowledges the fascination of alanguage which has developed sofast for all domains of use, before examining thefactors whichdrove that development, identifying particularly its affinity to Dutch and its tempestuous politicaland social history as making it a deceptive model for African languages. The second partexplores some aspects of its history which do suggest valuable perspectives for other languagesat this stage of our history. The examples discussed are language medium in schooling, thedangers of loss of confidence in a language considered with the possibilities of effective statusinterventions, and the complex issues surrounding language standards. The third part brieflyexamines the history of Afrikaans's ambiguous relation to English. It notes the persistence of theEnglish 'enemy' metaphor along with a practical demand for English, considers the racialpolitics of the statutory equality debate at the time of Union, and analyses three distortionsoccasioned by an ambiguous attitude to English in a contemporary discussion of the role of Afrikaans. Finally, the notion of a model or example is itself questioned. The article proposesdeveloping a deeper understanding of actual needs and attitudes in an ongoing process oflanguage planning as the most likely way of doingjustice to all South Africa's languages.Die herhaalde aanspraak dat Afrikaans 'n bruikbare model bied waarvolgens die ontwikkelingvan Afrika-tale beplan kan word, word in hierdie artikel krities ondersoek met die oog daaropom belangrike vraagstukke in die Suid-Afrikaanse taalbeplanning toe te lig. Die eerste deel geeerkenning aan die bekoring van 'n taal wat op aile gebruiksterreine baie vinnig ontwikkel het,voordat die faktore wat aan

From exemplar to grammar: a probabilistic analogy-based model of language learning.

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Bod, Rens

2009-07-01

While rules and exemplars are usually viewed as opposites, this paper argues that they form end points of the same distribution. By representing both rules and exemplars as (partial) trees, we can take into account the fluid middle ground between the two extremes. This insight is the starting point for a new theory of language learning that is based on the following idea: If a language learner does not know which phrase-structure trees should be assigned to initial sentences, s/he allows (implicitly) for all possible trees and lets linguistic experience decide which is the "best" tree for each sentence. The best tree is obtained by maximizing "structural analogy" between a sentence and previous sentences, which is formalized by the most probable shortest combination of subtrees from all trees of previous sentences. Corpus-based experiments with this model on the Penn Treebank and the Childes database indicate that it can learn both exemplar-based and rule-based aspects of language, ranging from phrasal verbs to auxiliary fronting. By having learned the syntactic structures of sentences, we have also learned the grammar implicit in these structures, which can in turn be used to produce new sentences. We show that our model mimicks children's language development from item-based constructions to abstract constructions, and that the model can simulate some of the errors made by children in producing complex questions. Copyright © 2009 Cognitive Science Society, Inc.

A MODELING AND SIMULATION LANGUAGE FOR BIOLOGICAL CELLS WITH COUPLED MECHANICAL AND CHEMICAL PROCESSES.

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Somogyi, Endre; Glazier, James A

2017-04-01

Biological cells are the prototypical example of active matter. Cells sense and respond to mechanical, chemical and electrical environmental stimuli with a range of behaviors, including dynamic changes in morphology and mechanical properties, chemical uptake and secretion, cell differentiation, proliferation, death, and migration. Modeling and simulation of such dynamic phenomena poses a number of computational challenges. A modeling language describing cellular dynamics must naturally represent complex intra and extra-cellular spatial structures and coupled mechanical, chemical and electrical processes. Domain experts will find a modeling language most useful when it is based on concepts, terms and principles native to the problem domain. A compiler must then be able to generate an executable model from this physically motivated description. Finally, an executable model must efficiently calculate the time evolution of such dynamic and inhomogeneous phenomena. We present a spatial hybrid systems modeling language, compiler and mesh-free Lagrangian based simulation engine which will enable domain experts to define models using natural, biologically motivated constructs and to simulate time evolution of coupled cellular, mechanical and chemical processes acting on a time varying number of cells and their environment.

Knowledge Graphs as Context Models: Improving the Detection of Cross-Language Plagiarism with Paraphrasing

OpenAIRE

Franco-Salvador, Marc; Gupta, Parth; Rosso, Paolo

2013-01-01

Cross-language plagiarism detection attempts to identify and extract automatically plagiarism among documents in different languages. Plagiarized fragments can be translated verbatim copies or may alter their structure to hide the copying, which is known as paraphrasing and is more difficult to detect. In order to improve the paraphrasing detection, we use a knowledge graph-based approach to obtain and compare context models of document fragments in different languages. Experimental results i...

Weaving Together Science and English: An Interconnected Model of Language Development for Emergent Bilinguals

Science.gov (United States)

Ciechanowski, Kathryn M.

2014-01-01

This research explores third-grade science and language instruction for emergent bilinguals designed through a framework of planning, lessons, and assessment in an interconnected model including content, linguistic features, and functions. Participants were a team of language specialist, classroom teacher, and researcher who designed…

Abs: a high-level modeling language for cloud-aware programming

NARCIS (Netherlands)

N. Bezirgiannis (Nikolaos); F.S. de Boer (Frank)

2016-01-01

textabstractCloud technology has become an invaluable tool to the IT business, because of its attractive economic model. Yet, from the programmers’ perspective, the development of cloud applications remains a major challenge. In this paper we introduce a programming language that allows Cloud

Rule-based modularization in model transformation languages illustrated with ATL

NARCIS (Netherlands)

Ivanov, Ivan; van den Berg, Klaas; Jouault, Frédéric

2007-01-01

This paper studies ways for modularizing transformation definitions in current rule-based model transformation languages. Two scenarios are shown in which the modular units are identified on the basis of relations between source and target metamodels and on the base of generic transformation

Immigration, language proficiency, and autobiographical memories: Lifespan distribution and second-language access.

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Esposito, Alena G; Baker-Ward, Lynne

2016-08-01

This investigation examined two controversies in the autobiographical literature: how cross-language immigration affects the distribution of autobiographical memories across the lifespan and under what circumstances language-dependent recall is observed. Both Spanish/English bilingual immigrants and English monolingual non-immigrants participated in a cue word study, with the bilingual sample taking part in a within-subject language manipulation. The expected bump in the number of memories from early life was observed for non-immigrants but not immigrants, who reported more memories for events surrounding immigration. Aspects of the methodology addressed possible reasons for past discrepant findings. Language-dependent recall was influenced by second-language proficiency. Results were interpreted as evidence that bilinguals with high second-language proficiency, in contrast to those with lower second-language proficiency, access a single conceptual store through either language. The final multi-level model predicting language-dependent recall, including second-language proficiency, age of immigration, internal language, and cue word language, explained ¾ of the between-person variance and (1)/5 of the within-person variance. We arrive at two conclusions. First, major life transitions influence the distribution of memories. Second, concept representation across multiple languages follows a developmental model. In addition, the results underscore the importance of considering language experience in research involving memory reports.

Huffman and linear scanning methods with statistical language models.

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Roark, Brian; Fried-Oken, Melanie; Gibbons, Chris

2015-03-01

Current scanning access methods for text generation in AAC devices are limited to relatively few options, most notably row/column variations within a matrix. We present Huffman scanning, a new method for applying statistical language models to binary-switch, static-grid typing AAC interfaces, and compare it to other scanning options under a variety of conditions. We present results for 16 adults without disabilities and one 36-year-old man with locked-in syndrome who presents with complex communication needs and uses AAC scanning devices for writing. Huffman scanning with a statistical language model yielded significant typing speedups for the 16 participants without disabilities versus any of the other methods tested, including two row/column scanning methods. A similar pattern of results was found with the individual with locked-in syndrome. Interestingly, faster typing speeds were obtained with Huffman scanning using a more leisurely scan rate than relatively fast individually calibrated scan rates. Overall, the results reported here demonstrate great promise for the usability of Huffman scanning as a faster alternative to row/column scanning.

Robots with language

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Domenico Parisi

2010-11-01

Full Text Available Trying to understand human language by constructing robots that have language necessarily implies an embodied view of language, where the meaning of linguistic expressions is derived from the physical interactions of the organism with the environment. The paper describes a neural model of language according to which the robot’s behaviour is controlled by a neural network composed of two sub-networks, one dedicated to the non-linguistic interactions of the robot with the environment and the other one to processing linguistic input and producing linguistic output. We present the results of a number of simulations using the model and we suggest how the model can be used to account for various language-related phenomena such as disambiguation, the metaphorical use of words, the pervasive idiomaticity of multi-word expressions, and mental life as talking to oneself.. The model implies a view of the meaning of words and multi-word expressions as a temporal process that takes place in the entire brain and has no clearly defined boundaries. The model can also be extended to emotional words if we assume that an embodied view of language includes not only the interactions of the robot’s brain with the external environment but also the interactions of the brain with what is inside the body.

Bilinguals' Existing Languages Benefit Vocabulary Learning in a Third Language.

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Bartolotti, James; Marian, Viorica

2017-03-01

Learning a new language involves substantial vocabulary acquisition. Learners can accelerate this process by relying on words with native-language overlap, such as cognates. For bilingual third language learners, it is necessary to determine how their two existing languages interact during novel language learning. A scaffolding account predicts transfer from either language for individual words, whereas an accumulation account predicts cumulative transfer from both languages. To compare these accounts, twenty English-German bilingual adults were taught an artificial language containing 48 novel written words that varied orthogonally in English and German wordlikeness (neighborhood size and orthotactic probability). Wordlikeness in each language improved word production accuracy, and similarity to one language provided the same benefit as dual-language overlap. In addition, participants' memory for novel words was affected by the statistical distributions of letters in the novel language. Results indicate that bilinguals utilize both languages during third language acquisition, supporting a scaffolding learning model.

Mirror neurons, language, and embodied cognition.

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Perlovsky, Leonid I; Ilin, Roman

2013-05-01

Basic mechanisms of the mind, cognition, language, its semantic and emotional mechanisms are modeled using dynamic logic (DL). This cognitively and mathematically motivated model leads to a dual-model hypothesis of language and cognition. The paper emphasizes that abstract cognition cannot evolve without language. The developed model is consistent with a joint emergence of language and cognition from a mirror neuron system. The dual language-cognition model leads to the dual mental hierarchy. The nature of cognition embodiment in the hierarchy is analyzed. Future theoretical and experimental research is discussed. Published by Elsevier Ltd.

Cognitive processes and neural basis of language switching: proposal of a new model.

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Moritz-Gasser, Sylvie; Duffau, Hugues

2009-12-09

Although studies on bilingualism are abundant, cognitive processes and neural foundations of language switching received less attention. The aim of our study is to provide new insights to this still open question: do dedicated region(s) for language switching exist or is this function underlain by a distributed circuit of interconnected brain areas, part of a more general cognitive system? On the basis of recent behavioral, neuroimaging, and brain stimulation studies, we propose an original 'hodological' model of language switching. This process might be subserved by a large-scale cortico-subcortical network, with an executive system (prefrontal cortex, anterior cingulum, caudate nucleus) controlling a more dedicated language subcircuit, which involves postero-temporal areas, supramarginal and angular gyri, Broca's area, and the superior longitudinal fasciculus.

Attention-based Memory Selection Recurrent Network for Language Modeling

OpenAIRE

Liu, Da-Rong; Chuang, Shun-Po; Lee, Hung-yi

2016-01-01

Recurrent neural networks (RNNs) have achieved great success in language modeling. However, since the RNNs have fixed size of memory, their memory cannot store all the information about the words it have seen before in the sentence, and thus the useful long-term information may be ignored when predicting the next words. In this paper, we propose Attention-based Memory Selection Recurrent Network (AMSRN), in which the model can review the information stored in the memory at each previous time ...

A Bayesian Model of Biases in Artificial Language Learning: The Case of a Word-Order Universal

Science.gov (United States)

Culbertson, Jennifer; Smolensky, Paul

2012-01-01

In this article, we develop a hierarchical Bayesian model of learning in a general type of artificial language-learning experiment in which learners are exposed to a mixture of grammars representing the variation present in real learners' input, particularly at times of language change. The modeling goal is to formalize and quantify hypothesized…

Language Learners or New Speakers: The Transfer of the Breton Diwan Immersion Education Model to the Lower Sorbian Witaj Project

Directory of Open Access Journals (Sweden)

Dołowy-Rybińska Nicole

2017-06-01

Full Text Available The paper discusses several aspects of immersion and bilingual education systems in Brittany, France and in Lower Lusatia, Germany. Their role in the process of becoming a new speaker of a minority language is exemplified by the Diwan immersion education model in Brittany and the Witaj project in Lower Lusatia concerning the Sorbian people. Taking into consideration the different sociolinguistic situation of both groups, the level and reasons for language shift, the existing language policy in France and in Germany, both educational models are presented. I analyze some factors that influence the possible success or failure of these two models, such as: the linguistic environments, teaching systems, the roles of teachers, the minority language attitudes of pupils, their language practices, the availability of extracurricular activities in the minority language, and the existence of different types of communities of practice. All these factors influence pupils’ language choices and practices. Not all language learners will use a minority language in the future, since it depends on the conscious decision of each person. The distinction between language learners and minority language new speakers can thus be justified.

MODELLING OF THE PROCESS OF TEACHING READING ENGLISH LANGUAGE PERIODICALS

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Тетяна Глушко

2014-07-01

Full Text Available The article reveals a scientifically substantiated process of teaching reading English language periodicals in all its components, which are consistently developed, and form of interconnection of the structural elements in the process of teaching reading. This process is presented as a few interconnected and interdetermined models: 1 the models of the process of acquiring standard and expressive lexical knowledge; 2 the models of the process of formation of skills to use such vocabulary; 3 the models of the development of skills to read texts of the different linguistic levels.

SPECIFIC USE OF INFORMATION TECHNOLOGIES IN A BLENDED MODEL OF TEACHING FOREIGN LANGUAGES

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Natalia A. Kameneva

2014-01-01

Full Text Available The article determines the role and analyzes specificity of the use of information technology in a mixed model of learning foreign languages in higher educational institutions. The authors also describe such forms of e-learning as a webinar, seminar videos, video conferencing, case-technology. The ways of overcoming difficulties in learning foreign languages, which the students can face when using distance learning technologies, are indicated. The positive experience of using E-learning System «Virtual Campus» in the teaching foreign languages at the Moscow State University of Economics, Statistics and Informatics is mentioned.

Grotoco@SLAM: Second Language Acquisition Modeling with Simple Features, Learners and Task-wise Models

DEFF Research Database (Denmark)

Klerke, Sigrid; Martínez Alonso, Héctor; Plank, Barbara

2018-01-01

We present our submission to the 2018 Duolingo Shared Task on Second Language Acquisition Modeling (SLAM). We focus on evaluating a range of features for the task, including user-derived measures, while examining how far we can get with a simple linear classifier. Our analysis reveals that errors...

Modelling the phonotactic structure of natural language words with simple recurrent networks

NARCIS (Netherlands)

Stoianov, [No Value; Nerbonne, J; Bouma, H; Coppen, PA; vanHalteren, H; Teunissen, L

1998-01-01

Simple Recurrent Networks (SRN) are Neural Network (connectionist) models able to process natural language. Phonotactics concerns the order of symbols in words. We continued an earlier unsuccessful trial to model the phonotactics of Dutch words with SRNs. In order to overcome the previously reported

Assessing the Accuracy and Consistency of Language Proficiency Classification under Competing Measurement Models

Science.gov (United States)

Zhang, Bo

2010-01-01

This article investigates how measurement models and statistical procedures can be applied to estimate the accuracy of proficiency classification in language testing. The paper starts with a concise introduction of four measurement models: the classical test theory (CTT) model, the dichotomous item response theory (IRT) model, the testlet response…

A Metadata Model for E-Learning Coordination through Semantic Web Languages

Science.gov (United States)

Elci, Atilla

2005-01-01

This paper reports on a study aiming to develop a metadata model for e-learning coordination based on semantic web languages. A survey of e-learning modes are done initially in order to identify content such as phases, activities, data schema, rules and relations, etc. relevant for a coordination model. In this respect, the study looks into the…

A Model for Community-based Language Teaching to Young Learners: The Impact of University Outreach

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Martha Nyikos

2015-01-01

Full Text Available A primary challenge given to university foreign language departments and Title VI National Resource Centers is to increase interest and participation in foreign language learning, with particular emphasis on less commonly taught languages (LCTLs. Given that many LCTLs in high demand by the US government, including Arabic, Chinese, Persian and Turkish, rarely find their way into the school curricula, this article offers a successful ongoing community-based model of how one university-town partnership addresses advocacy with programming for pre-K-grade 9. Non-native and heritage undergraduate language students who volunteered as community language teachers found the experience invaluable to their pedagogical development. Teacher education programs or language departments can employ this approach to community-based teaching, by providing free, sustained language teaching in existing community centers. This article offers guidance for how to start and expand such a program.

Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain.

Science.gov (United States)

Lopopolo, Alessandro; Frank, Stefan L; van den Bosch, Antal; Willems, Roel M

2017-01-01

Language comprehension involves the simultaneous processing of information at the phonological, syntactic, and lexical level. We track these three distinct streams of information in the brain by using stochastic measures derived from computational language models to detect neural correlates of phoneme, part-of-speech, and word processing in an fMRI experiment. Probabilistic language models have proven to be useful tools for studying how language is processed as a sequence of symbols unfolding in time. Conditional probabilities between sequences of words are at the basis of probabilistic measures such as surprisal and perplexity which have been successfully used as predictors of several behavioural and neural correlates of sentence processing. Here we computed perplexity from sequences of words and their parts of speech, and their phonemic transcriptions. Brain activity time-locked to each word is regressed on the three model-derived measures. We observe that the brain keeps track of the statistical structure of lexical, syntactic and phonological information in distinct areas.

Introduction to the special issue: parsimony and redundancy in models of language.

Science.gov (United States)

Wiechmann, Daniel; Kerz, Elma; Snider, Neal; Jaeger, T Florian

2013-09-01

One of the most fundamental goals in linguistic theory is to understand the nature of linguistic knowledge, that is, the representations and mechanisms that figure in a cognitively plausible model of human language-processing. The past 50 years have witnessed the development and refinement of various theories about what kind of 'stuff' human knowledge of language consists of, and technological advances now permit the development of increasingly sophisticated computational models implementing key assumptions of different theories from both rationalist and empiricist perspectives. The present special issue does not aim to present or discuss the arguments for and against the two epistemological stances or discuss evidence that supports either of them (cf. Bod, Hay, & Jannedy, 2003; Christiansen & Chater, 2008; Hauser, Chomsky, & Fitch, 2002; Oaksford & Chater, 2007; O'Donnell, Hauser, & Fitch, 2005). Rather, the research presented in this issue, which we label usage-based here, conceives of linguistic knowledge as being induced from experience. According to the strongest of such accounts, the acquisition and processing of language can be explained with reference to general cognitive mechanisms alone (rather than with reference to innate language-specific mechanisms). Defined in these terms, usage-based approaches encompass approaches referred to as experience-based, performance-based and/or emergentist approaches (Amrnon & Snider, 2010; Bannard, Lieven, & Tomasello, 2009; Bannard & Matthews, 2008; Chater & Manning, 2006; Clark & Lappin, 2010; Gerken, Wilson, & Lewis, 2005; Gomez, 2002;

Formulaic language in cortical and subcortical disease: Evidence of the dual process model.

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Kelly Bridges

2014-04-01

Full Text Available Introduction: It is known that an intact cortical left hemisphere is crucial for language production. Recently, more credit is given to the right hemisphere and subcortical areas in the production of non-novel language, including formulaic language. John Hughlings Jackson (1874/1958, first described how propositional and non-propositional speech are differentially affected by neural impairment. Non-propositional language is often preserved following left hemisphere stroke even when aphasia is present (Code, 1982; Sidtis et al., 2009; Van Lancker Sidtis & Postman, 2006. With right hemisphere and subcortical stroke, formulaic language is reduced (Sidtis et al., 2009; Van Lancker Sidtis & Postman, 2006; Speedie et al., 1993. The dual process model of language competence states that propositional and non-propositional speech are processed differently in the brain, with novel speech controlled by the left hemisphere, and a right hemisphere/subcortical circuit modulating formulaic language (Van Lancker Sidtis, 2004; 2012. Two studies of formulaic language will be presented as further evidence of the dual process model: a study of formulaic language in Alzheimer’s disease, and a study of recited speech in Parkinson’s disease. Formulaic language includes overlearned words, phrases or longer linguistic units that are known to the native speaker, occur naturally in discourse, and are important for normal social interaction (Fillmore, 1979; Pawley & Syder, 1983; Van Lancker, 1988; Van Lancker Sidtis, 2004; Wray, 2002. Formulaic expressions include conversational speech formulas, idioms, proverbs, expletives, pause fillers, discourse elements, and sentence stems (stereotyped sentence-initials. Longer units of linguistic material, such as prayers, rhymes, and poems, termed recited speech, is another subtype of formulaic language that is learned in childhood and recited periodically throughout life. Cortical disease: Alzheimer’s disease and formulaic

FuGEFlow: data model and markup language for flow cytometry

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Manion Frank J

2009-06-01

Full Text Available Abstract Background Flow cytometry technology is widely used in both health care and research. The rapid expansion of flow cytometry applications has outpaced the development of data storage and analysis tools. Collaborative efforts being taken to eliminate this gap include building common vocabularies and ontologies, designing generic data models, and defining data exchange formats. The Minimum Information about a Flow Cytometry Experiment (MIFlowCyt standard was recently adopted by the International Society for Advancement of Cytometry. This standard guides researchers on the information that should be included in peer reviewed publications, but it is insufficient for data exchange and integration between computational systems. The Functional Genomics Experiment (FuGE formalizes common aspects of comprehensive and high throughput experiments across different biological technologies. We have extended FuGE object model to accommodate flow cytometry data and metadata. Methods We used the MagicDraw modelling tool to design a UML model (Flow-OM according to the FuGE extension guidelines and the AndroMDA toolkit to transform the model to a markup language (Flow-ML. We mapped each MIFlowCyt term to either an existing FuGE class or to a new FuGEFlow class. The development environment was validated by comparing the official FuGE XSD to the schema we generated from the FuGE object model using our configuration. After the Flow-OM model was completed, the final version of the Flow-ML was generated and validated against an example MIFlowCyt compliant experiment description. Results The extension of FuGE for flow cytometry has resulted in a generic FuGE-compliant data model (FuGEFlow, which accommodates and links together all information required by MIFlowCyt. The FuGEFlow model can be used to build software and databases using FuGE software toolkits to facilitate automated exchange and manipulation of potentially large flow cytometry experimental data sets

FuGEFlow: data model and markup language for flow cytometry.

Science.gov (United States)

Qian, Yu; Tchuvatkina, Olga; Spidlen, Josef; Wilkinson, Peter; Gasparetto, Maura; Jones, Andrew R; Manion, Frank J; Scheuermann, Richard H; Sekaly, Rafick-Pierre; Brinkman, Ryan R

2009-06-16

Flow cytometry technology is widely used in both health care and research. The rapid expansion of flow cytometry applications has outpaced the development of data storage and analysis tools. Collaborative efforts being taken to eliminate this gap include building common vocabularies and ontologies, designing generic data models, and defining data exchange formats. The Minimum Information about a Flow Cytometry Experiment (MIFlowCyt) standard was recently adopted by the International Society for Advancement of Cytometry. This standard guides researchers on the information that should be included in peer reviewed publications, but it is insufficient for data exchange and integration between computational systems. The Functional Genomics Experiment (FuGE) formalizes common aspects of comprehensive and high throughput experiments across different biological technologies. We have extended FuGE object model to accommodate flow cytometry data and metadata. We used the MagicDraw modelling tool to design a UML model (Flow-OM) according to the FuGE extension guidelines and the AndroMDA toolkit to transform the model to a markup language (Flow-ML). We mapped each MIFlowCyt term to either an existing FuGE class or to a new FuGEFlow class. The development environment was validated by comparing the official FuGE XSD to the schema we generated from the FuGE object model using our configuration. After the Flow-OM model was completed, the final version of the Flow-ML was generated and validated against an example MIFlowCyt compliant experiment description. The extension of FuGE for flow cytometry has resulted in a generic FuGE-compliant data model (FuGEFlow), which accommodates and links together all information required by MIFlowCyt. The FuGEFlow model can be used to build software and databases using FuGE software toolkits to facilitate automated exchange and manipulation of potentially large flow cytometry experimental data sets. Additional project documentation, including

Knowledge modelling and reliability processing: presentation of the Figaro language and associated tools

International Nuclear Information System (INIS)

Bouissou, M.; Villatte, N.; Bouhadana, H.; Bannelier, M.

1991-12-01

EDF has been developing for several years an integrated set of knowledge-based and algorithmic tools for automation of reliability assessment of complex (especially sequential) systems. In this environment, the reliability expert has at his disposal all the powerful software tools for qualitative and quantitative processing, besides he gets various means to generate automatically the inputs for these tools, through the acquisition of graphical data. The development of these tools has been based on FIGARO, a specific language, which was built to get an homogeneous system modelling. Various compilers and interpreters get a FIGARO model into conventional models, such as fault-trees, Markov chains, Petri Networks. In this report, we introduce the main basics of FIGARO language, illustrating them with examples

The role of the putamen in language: a meta-analytic connectivity modeling study.

Science.gov (United States)

Viñas-Guasch, Nestor; Wu, Yan Jing

2017-12-01

The putamen is a subcortical structure that forms part of the dorsal striatum of basal ganglia, and has traditionally been associated with reinforcement learning and motor control, including speech articulation. However, recent studies have shown involvement of the left putamen in other language functions such as bilingual language processing (Abutalebi et al. 2012) and production, with some authors arguing for functional segregation of anterior and posterior putamen (Oberhuber et al. 2013). A further step in exploring the role of putamen in language would involve identifying the network of coactivations of not only the left, but also the right putamen, given the involvement of right hemisphere in high order language functions (Vigneau et al. 2011). Here, a meta-analytic connectivity modeling technique was used to determine the patterns of coactivation of anterior and bilateral putamen in the language domain. Based on previous evidence, we hypothesized that left putamen coactivations would include brain regions directly associated with language processing, whereas right putamen coactivations would encompass regions involved in broader semantic processes, such as memory and visual imagery. The results showed that left anterior putamen coactivated with clusters predominantly in left hemisphere, encompassing regions directly associated with language processing, a left posterior putamen network spanning both hemispheres, and cerebellum. In right hemisphere, coactivations were in both hemispheres, in regions associated with visual and orthographic processing. These results confirm the differential involvement of right and left putamen in different language components, thus highlighting the need for further research into the role of putamen in language.

An Empirical Generative Framework for Computational Modeling of Language Acquisition

Science.gov (United States)

Waterfall, Heidi R.; Sandbank, Ben; Onnis, Luca; Edelman, Shimon

2010-01-01

This paper reports progress in developing a computer model of language acquisition in the form of (1) a generative grammar that is (2) algorithmically learnable from realistic corpus data, (3) viable in its large-scale quantitative performance and (4) psychologically real. First, we describe new algorithmic methods for unsupervised learning of…

On Religion and Language Evolutions Seen Through Mathematical and Agent Based Models

Science.gov (United States)

Ausloos, M.

Religions and languages are social variables, like age, sex, wealth or political opinions, to be studied like any other organizational parameter. In fact, religiosity is one of the most important sociological aspects of populations. Languages are also obvious characteristics of the human species. Religions, languages appear though also disappear. All religions and languages evolve and survive when they adapt to the society developments. On the other hand, the number of adherents of a given religion, or the number of persons speaking a language is not fixed in time, - nor space. Several questions can be raised. E.g. from a oscopic point of view : How many religions/languages exist at a given time? What is their distribution? What is their life time? How do they evolve? From a "microscopic" view point: can one invent agent based models to describe oscopic aspects? Do simple evolution equations exist? How complicated must be a model? These aspects are considered in the present note. Basic evolution equations are outlined and critically, though briefly, discussed. Similarities and differences between religions and languages are summarized. Cases can be illustrated with historical facts and data. It is stressed that characteristic time scales are different. It is emphasized that "external fields" are historically very relevant in the case of religions, rending the study more " interesting" within a mechanistic approach based on parity and symmetry of clusters concepts. Yet the modern description of human societies through networks in reported simulations is still lacking some mandatory ingredients, i.e. the non scalar nature of the nodes, and the non binary aspects of nodes and links, though for the latter this is already often taken into account, including directions. From an analytical point of view one can consider a population independently of the others. It is intuitively accepted, but also found from the statistical analysis of the frequency distribution that an

An object-oriented language-database integration model: The composition filters approach

NARCIS (Netherlands)

Aksit, Mehmet; Bergmans, Lodewijk; Vural, Sinan; Vural, S.

1991-01-01

This paper introduces a new model, based on so-called object-composition filters, that uniformly integrates database-like features into an object-oriented language. The focus is on providing persistent dynamic data structures, data sharing, transactions, multiple views and associative access,

An Object-Oriented Language-Database Integration Model: The Composition-Filters Approach

NARCIS (Netherlands)

Aksit, Mehmet; Bergmans, Lodewijk; Vural, S.; Vural, Sinan; Lehrmann Madsen, O.

1992-01-01

This paper introduces a new model, based on so-called object-composition filters, that uniformly integrates database-like features into an object-oriented language. The focus is on providing persistent dynamic data structures, data sharing, transactions, multiple views and associative access,

Implications of the Declarative/Procedural Model for Improving Second Language Learning: The Role of Memory Enhancement Techniques

Science.gov (United States)

Ullman, Michael T.; Lovelett, Jarrett T.

2018-01-01

The declarative/procedural (DP) model posits that the learning, storage, and use of language critically depend on two learning and memory systems in the brain: declarative memory and procedural memory. Thus, on the basis of independent research on the memory systems, the model can generate specific and often novel predictions for language. Till…

Language and Cognition Interaction Neural Mechanisms

Directory of Open Access Journals (Sweden)

Leonid Perlovsky

2011-01-01

Full Text Available How language and cognition interact in thinking? Is language just used for communication of completed thoughts, or is it fundamental for thinking? Existing approaches have not led to a computational theory. We develop a hypothesis that language and cognition are two separate but closely interacting mechanisms. Language accumulates cultural wisdom; cognition develops mental representations modeling surrounding world and adapts cultural knowledge to concrete circumstances of life. Language is acquired from surrounding language “ready-made” and therefore can be acquired early in life. This early acquisition of language in childhood encompasses the entire hierarchy from sounds to words, to phrases, and to highest concepts existing in culture. Cognition is developed from experience. Yet cognition cannot be acquired from experience alone; language is a necessary intermediary, a “teacher.” A mathematical model is developed; it overcomes previous difficulties and leads to a computational theory. This model is consistent with Arbib's “language prewired brain” built on top of mirror neuron system. It models recent neuroimaging data about cognition, remaining unnoticed by other theories. A number of properties of language and cognition are explained, which previously seemed mysterious, including influence of language grammar on cultural evolution, which may explain specifics of English and Arabic cultures.

Language and cognition interaction neural mechanisms.

Science.gov (United States)

Perlovsky, Leonid

2011-01-01

How language and cognition interact in thinking? Is language just used for communication of completed thoughts, or is it fundamental for thinking? Existing approaches have not led to a computational theory. We develop a hypothesis that language and cognition are two separate but closely interacting mechanisms. Language accumulates cultural wisdom; cognition develops mental representations modeling surrounding world and adapts cultural knowledge to concrete circumstances of life. Language is acquired from surrounding language "ready-made" and therefore can be acquired early in life. This early acquisition of language in childhood encompasses the entire hierarchy from sounds to words, to phrases, and to highest concepts existing in culture. Cognition is developed from experience. Yet cognition cannot be acquired from experience alone; language is a necessary intermediary, a "teacher." A mathematical model is developed; it overcomes previous difficulties and leads to a computational theory. This model is consistent with Arbib's "language prewired brain" built on top of mirror neuron system. It models recent neuroimaging data about cognition, remaining unnoticed by other theories. A number of properties of language and cognition are explained, which previously seemed mysterious, including influence of language grammar on cultural evolution, which may explain specifics of English and Arabic cultures.

Language and Cognition Interaction Neural Mechanisms

Science.gov (United States)

Perlovsky, Leonid

2011-01-01

How language and cognition interact in thinking? Is language just used for communication of completed thoughts, or is it fundamental for thinking? Existing approaches have not led to a computational theory. We develop a hypothesis that language and cognition are two separate but closely interacting mechanisms. Language accumulates cultural wisdom; cognition develops mental representations modeling surrounding world and adapts cultural knowledge to concrete circumstances of life. Language is acquired from surrounding language “ready-made” and therefore can be acquired early in life. This early acquisition of language in childhood encompasses the entire hierarchy from sounds to words, to phrases, and to highest concepts existing in culture. Cognition is developed from experience. Yet cognition cannot be acquired from experience alone; language is a necessary intermediary, a “teacher.” A mathematical model is developed; it overcomes previous difficulties and leads to a computational theory. This model is consistent with Arbib's “language prewired brain” built on top of mirror neuron system. It models recent neuroimaging data about cognition, remaining unnoticed by other theories. A number of properties of language and cognition are explained, which previously seemed mysterious, including influence of language grammar on cultural evolution, which may explain specifics of English and Arabic cultures. PMID:21876687

Metaphoric Modeling of Foreign Language Teaching and Learning, with Special Reference to Teaching Philosophy Statements

Science.gov (United States)

Alghbban, Mohammed I.; Ben Salamh, Sami; Maalej, Zouheir

2017-01-01

The current article investigates teachers' metaphoric modeling of foreign language teaching and learning at the College of Languages and Translation, King Saud University. It makes use of teaching philosophy statements as a corpus. Our objective is to analyze the underlying conceptualizations of teaching/learning, the teachers' perception of the…

The Sociolinguistic Model in Speech and Language Pathology.

Science.gov (United States)

Wolfram, Walt

A discussion of the role of sociolinguistics in the treatment of communication disorders focuses on issues related to dialect and language variation. It begins with an examination of linguistic diversity and dynamic description of language, reporting on a study of speech and language pathologists' judgments of sentences in African American…

Human processor modelling language (HPML): Estimate working memory load through interaction

OpenAIRE

Geisler, J.; Scheben, C.

2007-01-01

To operate machines over their user interface may cause high load on human's working memory. This load can decrease performance in the working task significantly if this task is a cognitive challenging one, e. g. diagnosis. With the »Human Processor Modelling Language« (HPML) the interaction activity can be modelled with a directed graph. From such models a condensed indicator value for working memory load can be estimated. Thus different user interface solutions can get compared with respect...

Action and Language Mechanisms in the Brain: Data, Models and Neuroinformatics

DEFF Research Database (Denmark)

Arbib, Michael A.; Bonaiuto, James J.; Bornkessel-Schlesewsky, Ina

2014-01-01

We assess the challenges of studying action and language mechanisms in the brain, both singly and in relation to each other to provide a novel perspective on neuroinformatics, integrating the development of databases for encoding - separately or together - neurocomputational models and empirical ...

Language growth in children with heterogeneous language disorders: a population study.

Science.gov (United States)

Norbury, Courtenay Frazier; Vamvakas, George; Gooch, Debbie; Baird, Gillian; Charman, Tony; Simonoff, Emily; Pickles, Andrew

2017-10-01

Language development has been characterised by significant individual stability from school entry. However, the extent to which trajectories of language growth vary in children with language disorder as a function of co-occurring developmental challenges is a question of theoretical import, with implications for service provision. SCALES employed a population-based survey design with sample weighting procedures to estimate growth in core language skills over the first three years of school. A stratified sample (n = 529) received comprehensive assessment of language, nonverbal IQ, and social, emotional and behavioural difficulties at 5-6 years of age and 95% of the sample (n = 499) were assessed again at ages 7-8. Language growth was measured using both raw and standard scores in children with typical development, children with language disorder of unknown origin, and children with language disorders associated with a known clinical condition and/or intellectual disability. Overall, language was stable at the individual level (estimated ICC = 0.95) over the first three years of school. Linear mixed effects models highlighted steady growth in language raw scores across all three groups, including those with multiple developmental challenges. There was little evidence, however, that children with language disorders were narrowing the gap with peers (z-scores). Adjusted models indicated that while nonverbal ability, socioeconomic status and social, emotional and behavioural deficits predicted initial language score (intercept), none predicted language growth (slope). These findings corroborate previous studies suggesting stable language trajectories after ages 5-6 years, but add considerably to previous work by demonstrating similar developmental patterns in children with additional nonverbal cognitive deficits, social, emotional, and behavioural challenges, social disadvantage or clinical diagnoses. © 2017 The Authors. Journal of Child Psychology and

Learning to perceive and recognize a second language: the L2LP model revised.

Science.gov (United States)

van Leussen, Jan-Willem; Escudero, Paola

2015-01-01

We present a test of a revised version of the Second Language Linguistic Perception (L2LP) model, a computational model of the acquisition of second language (L2) speech perception and recognition. The model draws on phonetic, phonological, and psycholinguistic constructs to explain a number of L2 learning scenarios. However, a recent computational implementation failed to validate a theoretical proposal for a learning scenario where the L2 has less phonemic categories than the native language (L1) along a given acoustic continuum. According to the L2LP, learners faced with this learning scenario must not only shift their old L1 phoneme boundaries but also reduce the number of categories employed in perception. Our proposed revision to L2LP successfully accounts for this updating in the number of perceptual categories as a process driven by the meaning of lexical items, rather than by the learners' awareness of the number and type of phonemes that are relevant in their new language, as the previous version of L2LP assumed. Results of our simulations show that meaning-driven learning correctly predicts the developmental path of L2 phoneme perception seen in empirical studies. Additionally, and to contribute to a long-standing debate in psycholinguistics, we test two versions of the model, with the stages of phonemic perception and lexical recognition being either sequential or interactive. Both versions succeed in learning to recognize minimal pairs in the new L2, but make diverging predictions on learners' resulting phonological representations. In sum, the proposed revision to the L2LP model contributes to our understanding of L2 acquisition, with implications for speech processing in general.

Toward epigenetic and gene regulation models of specific language impairment: looking for links among growth, genes, and impairments

Directory of Open Access Journals (Sweden)

Rice Mabel L

2012-11-01

Full Text Available Abstract Children with specific language impairment (SLI are thought to have an inherited form of language impairment that spares other developmental domains. SLI shows strong heritability and recent linkage and association studies have replicated results for candidate genes. Regulatory regions of the genes may be involved. Behavioral growth models of language development of children with SLI reveal that the onset of language is delayed, and the growth trajectories of children with SLI parallel those of younger children without SLI. The rate of language acquisition decelerates in the pre-adolescent period, resulting in immature language levels for the children with SLI that persist into adolescence and beyond. Recent genetic and epigenetic discoveries and models relevant to language impairment are reviewed. T cell regulation of onset, acceleration, and deceleration signaling are described as potential conceptual parallels to the growth timing elements of language acquisition and impairment. A growth signaling disruption (GSD hypothesis is proposed for SLI, which posits that faulty timing mechanisms at the cellular level, intrinsic to neurocortical functioning essential for language onset and growth regulation, are at the core of the growth outcomes of SLI. The GSD highlights the need to document and account for growth patterns over childhood and suggests needed directions for future investigation.

E language based on MCNP modeling software for autonomous

International Nuclear Information System (INIS)

Li Fei; Ge Liangquan; Zhang Qingxian

2010-01-01

MCNP (Monte Carlo N-Particle Code) is based on the Monte Carlo method for computing neutron, photon and other particles as the object of the movement simulation computer program. Because of its powerful computing simulation, flexible and universal features in many fields has been widely used, but due to a software professional in the operating area has been greatly restricted, so that in later development has been greatly hindered. E-language was used in order to develop the autonomy of MCNP modeling software, used to address users not familiar with MCNP and can not create object model, get rid of dull red tape 'notebook' type of program type and built a new MCNP modeling system. (authors)

Person-first and identity-first language: Developing psychologists' cultural competence using disability language.

Science.gov (United States)

Dunn, Dana S; Andrews, Erin E

2015-04-01

The American Psychological Association (APA) advocates the use of person-first language (e.g., people with disabilities) to refer to individuals with disabilities in daily discourse and to reduce bias in psychological writing. Disability culture advocates and disability studies scholars have challenged the rationale for and implications of exclusive person-first language use, promoting use of identity-first language (e.g., disabled people). We argue that psychologists should adopt identity-first language alongside person-first constructions to address the concerns of disability groups while promoting human dignity and maintaining scientific and professional rigor. We review the evolution of disability language and then discuss the major models used to characterize disability and people with disabilities. The rationale for person-first language and the emergence of identity-first language, respectively, are linked to particular models. We then discuss some language challenges posed by identity-first language and the current intent of person-first language, suggesting that psychologists make judicious use of the former when it is possible to do so. We conclude by offering five observations of ways that use of both person-first and identity-first language could enhance psychologists' cultural competence regarding disability issues in personal and scientific communications. (c) 2015 APA, all rights reserved).

Learning bias, cultural evolution of language, and the biological evolution of the language faculty.

Science.gov (United States)

Smith, Kenny

2011-04-01

The biases of individual language learners act to determine the learnability and cultural stability of languages: learners come to the language learning task with biases which make certain linguistic systems easier to acquire than others. These biases are repeatedly applied during the process of language transmission, and consequently should effect the types of languages we see in human populations. Understanding the cultural evolutionary consequences of particular learning biases is therefore central to understanding the link between language learning in individuals and language universals, common structural properties shared by all the world’s languages. This paper reviews a range of models and experimental studies which show that weak biases in individual learners can have strong effects on the structure of socially learned systems such as language, suggesting that strong universal tendencies in language structure do not require us to postulate strong underlying biases or constraints on language learning. Furthermore, understanding the relationship between learner biases and language design has implications for theories of the evolution of those learning biases: models of gene-culture coevolution suggest that, in situations where a cultural dynamic mediates between properties of individual learners and properties of language in this way, biological evolution is unlikely to lead to the emergence of strong constraints on learning.

Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.

Science.gov (United States)

Li, Shan; Lin, Ruokuang; Bian, Chunhua; Ma, Qianli D Y; Ivanov, Plamen Ch

2016-01-01

Scaling laws characterize diverse complex systems in a broad range of fields, including physics, biology, finance, and social science. The human language is another example of a complex system of words organization. Studies on written texts have shown that scaling laws characterize the occurrence frequency of words, words rank, and the growth of distinct words with increasing text length. However, these studies have mainly concentrated on the western linguistic systems, and the laws that govern the lexical organization, structure and dynamics of the Chinese language remain not well understood. Here we study a database of Chinese and English language books. We report that three distinct scaling laws characterize words organization in the Chinese language. We find that these scaling laws have different exponents and crossover behaviors compared to English texts, indicating different words organization and dynamics of words in the process of text growth. We propose a stochastic feedback model of words organization and text growth, which successfully accounts for the empirically observed scaling laws with their corresponding scaling exponents and characteristic crossover regimes. Further, by varying key model parameters, we reproduce differences in the organization and scaling laws of words between the Chinese and English language. We also identify functional relationships between model parameters and the empirically observed scaling exponents, thus providing new insights into the words organization and growth dynamics in the Chinese and English language.

Model of the Dynamic Construction Process of Texts and Scaling Laws of Words Organization in Language Systems.

Directory of Open Access Journals (Sweden)

Shan Li

Full Text Available Scaling laws characterize diverse complex systems in a broad range of fields, including physics, biology, finance, and social science. The human language is another example of a complex system of words organization. Studies on written texts have shown that scaling laws characterize the occurrence frequency of words, words rank, and the growth of distinct words with increasing text length. However, these studies have mainly concentrated on the western linguistic systems, and the laws that govern the lexical organization, structure and dynamics of the Chinese language remain not well understood. Here we study a database of Chinese and English language books. We report that three distinct scaling laws characterize words organization in the Chinese language. We find that these scaling laws have different exponents and crossover behaviors compared to English texts, indicating different words organization and dynamics of words in the process of text growth. We propose a stochastic feedback model of words organization and text growth, which successfully accounts for the empirically observed scaling laws with their corresponding scaling exponents and characteristic crossover regimes. Further, by varying key model parameters, we reproduce differences in the organization and scaling laws of words between the Chinese and English language. We also identify functional relationships between model parameters and the empirically observed scaling exponents, thus providing new insights into the words organization and growth dynamics in the Chinese and English language.

Motivation within the Information Processing Model of Foreign Language Learning

Science.gov (United States)

Manolopoulou-Sergi, Eleni

2004-01-01

The present article highlights the importance of the motivational construct for the foreign language learning (FLL) process. More specifically, in the present article it is argued that motivation is likely to play a significant role at all three stages of the FLL process as they are discussed within the information processing model of FLL, namely,…

PharmML in Action: an Interoperable Language for Modeling and Simulation

Science.gov (United States)

Bizzotto, R; Smith, G; Yvon, F; Kristensen, NR; Swat, MJ

2017-01-01

PharmML1 is an XML‐based exchange format2, 3, 4 created with a focus on nonlinear mixed‐effect (NLME) models used in pharmacometrics,5, 6 but providing a very general framework that also allows describing mathematical and statistical models such as single‐subject or nonlinear and multivariate regression models. This tutorial provides an overview of the structure of this language, brief suggestions on how to work with it, and use cases demonstrating its power and flexibility. PMID:28575551

Coupled dynamics of node and link states in complex networks: a model for language competition

International Nuclear Information System (INIS)

Carro, Adrián; Toral, Raúl; Miguel, Maxi San

2016-01-01

Inspired by language competition processes, we present a model of coupled evolution of node and link states. In particular, we focus on the interplay between the use of a language and the preference or attitude of the speakers towards it, which we model, respectively, as a property of the interactions between speakers (a link state) and as a property of the speakers themselves (a node state). Furthermore, we restrict our attention to the case of two socially equivalent languages and to socially inspired network topologies based on a mechanism of triadic closure. As opposed to most of the previous literature, where language extinction is an inevitable outcome of the dynamics, we find a broad range of possible asymptotic configurations, which we classify as: frozen extinction states, frozen coexistence states, and dynamically trapped coexistence states. Moreover, metastable coexistence states with very long survival times and displaying a non-trivial dynamics are found to be abundant. Interestingly, a system size scaling analysis shows, on the one hand, that the probability of language extinction vanishes exponentially for increasing system sizes and, on the other hand, that the time scale of survival of the non-trivial dynamical metastable states increases linearly with the size of the system. Thus, non-trivial dynamical coexistence is the only possible outcome for large enough systems. Finally, we show how this coexistence is characterized by one of the languages becoming clearly predominant while the other one becomes increasingly confined to ‘ghetto-like’ structures: small groups of bilingual speakers arranged in triangles, with a strong preference for the minority language, and using it for their intra-group interactions while they switch to the predominant language for communications with the rest of the population. (paper)

Multi-language naming game

Science.gov (United States)

Zhou, Jianfeng; Lou, Yang; Chen, Guanrong; Tang, Wallace K. S.

2018-04-01

Naming game is a simulation-based experiment used to study the evolution of languages. The conventional naming game focuses on a single language. In this paper, a novel naming game model named multi-language naming game (MLNG) is proposed, where the agents are different-language speakers who cannot communicate with each other without a translator (interpreter) in between. The MLNG model is general, capable of managing k different languages with k ≥ 2. For illustration, the paper only discusses the MLNG with two different languages, and studies five representative network topologies, namely random-graph, WS small-world, NW small-world, scale-free, and random-triangle topologies. Simulation and analysis results both show that: 1) using the network features and based on the proportion of translators the probability of establishing a conversation between two or three agents can be theoretically estimated; 2) the relationship between the convergence speed and the proportion of translators has a power-law-like relation; 3) different agents require different memory sizes, thus a local memory allocation rule is recommended for saving memory resources. The new model and new findings should be useful for further studies of naming games and for better understanding of languages evolution from a dynamical network perspective.

OER "Produsage" as a Model to Support Language Teaching and Learning

Science.gov (United States)

MacKinnon, Teresa; Pasfield-Neofitou, Sarah

2016-01-01

Language education faculty face myriad challenges in finding teaching resources that are suitable, of high quality, and allow for the modifications needed to meet the requirements of their course contexts and their learners. The article elaborates the grassroots model of "produsage" (a portmanteau of "production" and…

Modeling the Process of Summary Writing of Chinese Learners of English as a Foreign Language

Science.gov (United States)

Li, Jiuliang

2016-01-01

In language learning contexts, writing tasks that involve reading of source texts are often used to elicit more authentic integrative language use. Thus, interests in researching these read-to-write tasks in general and as assessment tasks keep growing. This study examined and modeled the process of summary writing as a read-to-write integrated…

Formulaic speech in disorders of language

Directory of Open Access Journals (Sweden)

Diana Sidtis

2014-04-01

Formulaic language studies remain less well recognized in language disorders. Profiles of differential formulaic language abilities in neurological disease have implications for cerebral models of language and for clinical evaluation and treatment of neurogenic language disorders.

A New Bigram-PLSA Language Model for Speech Recognition

Directory of Open Access Journals (Sweden)

Bahrani Mohammad

2010-01-01

Full Text Available A novel method for combining bigram model and Probabilistic Latent Semantic Analysis (PLSA is introduced for language modeling. The motivation behind this idea is the relaxation of the "bag of words" assumption fundamentally present in latent topic models including the PLSA model. An EM-based parameter estimation technique for the proposed model is presented in this paper. Previous attempts to incorporate word order in the PLSA model are surveyed and compared with our new proposed model both in theory and by experimental evaluation. Perplexity measure is employed to compare the effectiveness of recently introduced models with the new proposed model. Furthermore, experiments are designed and carried out on continuous speech recognition (CSR tasks using word error rate (WER as the evaluation criterion. The superiority of the new bigram-PLSA model over Nie et al.'s bigram-PLSA and simple PLSA models is demonstrated in the results of our experiments. Experiments on BLLIP WSJ corpus show about 12% reduction in perplexity and 2.8% WER improvement compared to Nie et al.'s bigram-PLSA model.

The Sizing and Optimization Language, (SOL): Computer language for design problems

Science.gov (United States)

Lucas, Stephen H.; Scotti, Stephen J.

1988-01-01

The Sizing and Optimization Language, (SOL), a new high level, special purpose computer language was developed to expedite application of numerical optimization to design problems and to make the process less error prone. SOL utilizes the ADS optimization software and provides a clear, concise syntax for describing an optimization problem, the OPTIMIZE description, which closely parallels the mathematical description of the problem. SOL offers language statements which can be used to model a design mathematically, with subroutines or code logic, and with existing FORTRAN routines. In addition, SOL provides error checking and clear output of the optimization results. Because of these language features, SOL is best suited to model and optimize a design concept when the model consits of mathematical expressions written in SOL. For such cases, SOL's unique syntax and error checking can be fully utilized. SOL is presently available for DEC VAX/VMS systems. A SOL package is available which includes the SOL compiler, runtime library routines, and a SOL reference manual.

Development of the next generation code system as an engineering modeling language (1)

International Nuclear Information System (INIS)

Yokoyama, Kenji; Uto, Nariaki; Kasahara, Naoto; Nagura, Fuminori; Ishikawa, Makoto; Ohira, Masanori; Kato, Masayuki

2002-11-01

In the fast reactor development, numerical simulation using analytical codes plays an important role for complementing theory and experiment. It is necessary that the engineering models and analysis methods can be flexibly changed, because the phenamine to be investigated become more complicated due to the diversity of the needs for research. And, there are large problems in combining physical properties and engineering models in many different fields. In this study, the goal is to develop a flexible and general-purposive analysis system, in which the physical properties and engineering models are represented as a programming language or a diagrams that are easily understandable for humans and executable for computers. The authors named this concept the Engineering Modeling Language (EML). This report describes the result of the investigation for latest computer technologies and software development techniques which seem to be usable for a realization of the analysis code system for nuclear engineering as an EML. (author)

LANGUAGE TRAVEL SUPPLY: LANGUAGE TOURISM PRODUCT COMPOSITION

Directory of Open Access Journals (Sweden)

Montserrat Iglesias

2017-01-01

Full Text Available A systematic review of literature up to date reflects great scholarly interest in the impacts of study abroad (SA sojourns on foreign language learners’ communicative competence. This paper provides an overview on gains in sociolinguistic and pragmatic competences drawing upon research carried out in this field, which in broad terms supports the belief that both types of competences are effectively developed in SA stays. This article also offers a detailed account of the main constituents of the language tourism product -the travel component and the language learning component- with a special focus on the educational input and the language learning complements included in the latter. Thus, a fundamental part of the language tourism market system will be depicted from a supply perspective. Following an exploratory approach, a literature review was conducted in order to identify existing and missing knowledge in the field of language travel supply, and key aspects were pinpointed and classified. The taxonomy and underpinning concepts resulting from the categorisation of those key features may be considered the starting point for future investigations on SA programmes. The model offered in this exploratory study aims at constituting the underlying conceptual framework for subsequent research on the role of different SA programme design characteristics within the language tourism experience.

Modeling and Cognitive Behavior: The Effects of Modeling, Modes of Modeling and Selected Model Attributes on Rule-Governed Language Behavior.

Science.gov (United States)

Grieshop, James Ivo

The effect of modeling on the performance of rule-governed language behaviors of 208 male and female, Anglo and Chicano, sixth grade students in Albuquerque, N.M. was experimentally investigated. Eight boys and 8 girls (4 each Chicano and Anglo) were randomly assigned to each of the 12 experimental conditions and to the control group. Three modes…

Models, Languages and Logics for Concurrent Distributed Systems

DEFF Research Database (Denmark)

The EEC Esprit Basic Research Action No 3011, Models, Languages and Logics for Con current Distributed Systems, CEDISYS, held its second workshop at Aarhus University in May, l991, following the successful workshop in San Miniato in 1990. The Aarhus Workshop was centered around CEDISYS research...... activities, and the selected themes of Applications and Automated Tools in the area of Distributed Systerns. The 24 participants were CEDISYS partners, and invited guests with expertise on the selected themes. This booklet contains the program of the workshop, short abstracts for the talks presented...

Modeling Language and Cognition with Deep Unsupervised Learning:A Tutorial Overview

OpenAIRE

Marco eZorzi; Marco eZorzi; Alberto eTestolin; Ivilin Peev Stoianov; Ivilin Peev Stoianov

2013-01-01

Deep unsupervised learning in stochastic recurrent neural networks with many layers of hidden units is a recent breakthrough in neural computation research. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical generative model. In this article we discuss the theoretical foundations of this approach and we review key issues related to training, testing and analysis of deep networks for modeling language and cog...

Modeling language and cognition with deep unsupervised learning: a tutorial overview

OpenAIRE

Zorzi, Marco; Testolin, Alberto; Stoianov, Ivilin P.

2013-01-01

Deep unsupervised learning in stochastic recurrent neural networks with many layers of hidden units is a recent breakthrough in neural computation research. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical generative model. In this article we discuss the theoretical foundations of this approach and we review key issues related to training, testing and analysis of deep networks for modeling language and cog...

A practical guide to SysML the systems modeling language

CERN Document Server

Friendenthal,Sanford; Steiner, Rick

2009-01-01

This book is the bestselling, authoritative guide to SysML for systems and software engineers, providing a comprehensive and practical resource for modeling systems with SysML. Fully updated to cover newly released version 1.3, it includes a full description of the modeling language along with a quick reference guide, and shows how an organization or project can transition to model-based systems engineering using SysML, with considerations for processes, methods, tools, and training. Numerous examples help readers understand how SysML can be used in practice, while reference material facilitates studying for the OMG Systems Modeling Professional (OCSMP) Certification Program, designed to test candidates' knowledge of SysML and their ability to use models to represent real-world systems.

Using the SIOP Model for Effective Content Teaching with Second and Foreign Language Learners

Science.gov (United States)

Kareva, Veronika; Echevarria, Jana

2013-01-01

In this paper we present a comprehensive model of instruction for providing consistent, high quality teaching to L2 students. This model, the SIOP Model (Sheltered Instruction Observation Protocol), provides an explicit framework for organizing instructional practices to optimize the effectiveness of teaching second and foreign language learners.…

Comparison of Three Models Dealing with Working Memory and Its Dimensions in Second Language Acquisition

Directory of Open Access Journals (Sweden)

Abdulaziz Alshahrani

2017-12-01

Full Text Available The current status of research on working memory (WM and its components in second language acquisition (SLA was examined in this review. Literature search was done on four aspects using search terms in Google Scholar. Hence, the review results are given and introduced. 1. In the definition of WM, some confusion exists on whether short term memory (STM or recent memory is the same as WM or different. 2. In this review, three main models have been discussed elaborately, as they are the only ones discussed in literature. They are: multicomponent model of Baddeley (2000, embedded process model of Cowan (2005 and attention control model of Engle and Kane (2003. 3. The phonological and executive components of WM were examined in more detail, as these determine the two basic aspects of language acquisition: language characteristics and acquisition methods (Wen, 2012. Overall, the variables related to phonological and executive working memories are evident from published research, but their interactive relationships and affecting factors are not entirely clear. 4. Admittedly, several diverse internal and external factors affect WM in relation to SLA. Some practically useful interventions are indicated by certain findings.

Hardware description languages

Science.gov (United States)

Tucker, Jerry H.

1994-01-01

Hardware description languages are special purpose programming languages. They are primarily used to specify the behavior of digital systems and are rapidly replacing traditional digital system design techniques. This is because they allow the designer to concentrate on how the system should operate rather than on implementation details. Hardware description languages allow a digital system to be described with a wide range of abstraction, and they support top down design techniques. A key feature of any hardware description language environment is its ability to simulate the modeled system. The two most important hardware description languages are Verilog and VHDL. Verilog has been the dominant language for the design of application specific integrated circuits (ASIC's). However, VHDL is rapidly gaining in popularity.

We have "born digital" - now what about "born semantic"?

Science.gov (United States)

Leadbetter, Adam; Fredericks, Janet

2014-05-01

The phrase "born-digital" refers to those materials which originate in a digital form. In Earth and Space Sciences, this is now very much the norm for data: analogue to digital converters sit on instrument boards and produce a digital record of the observed environment. While much effort has been put in to creating and curating these digital data, there has been little work on using semantic mark up of data from the point of collection - what we term 'born semantic'. In this presentation we report on two efforts to expand this area: Qartod-to-OGC (Q2O) and SenseOCEAN. These projects have taken a common approach to 'born semantic': create or reuse appropriate controlled vocabularies, published to World Wide Web Commission (W3C) standards use standards from the Open Geospatial Consortium's Sensor Web Enablement (SWE) initiative to describe instrument setup, deployment and/or outputs using terms from those controlled vocabularies embed URLs from the controlled vocabularies within the SWE documents in a "Linked Data" conformant approach Q2O developed best practices examples of SensorML descriptions of Original Equipment Manufacturers' metadata (model characteristics, capabilities, manufacturer contact, etc ...) set-up and deployment SensorML files; and data centre process-lineage using registered vocabularies to describe terms (including input, output, processes, parameters, quality control flags) One Q2O use case, the Martha's Vineyard Coastal Observatory ADCP Waves instance, uses SensorML and registered vocabularies to fully describe the process of computing wave parameters from sensed properties, including quality control tests and associated results. The European Commission Framework Programme 7 project SenseOCEAN draws together world leading marine sensor developers to create a highly integrated multifunction and cost-effective in situ marine biogeochemical sensor system. This project will provide a quantum leap in the ability to measure crucial biogeochemical

Model Problems in Technologies for Interoperability: OWL Web Ontology Language for Services (OWL-S)

National Research Council Canada - National Science Library

Metcalf, Chris; Lewis, Grace A

2006-01-01

.... The OWL Web Ontology Language for Services (OWL-S) is a language to describe the properties and capabilities of Web Services in such a way that the descriptions can be interpreted by a computer system in an automated manner. This technical note presents the results of applying the model problem approach to examine the feasibility of using OWL-S to allow applications to automatically discover, compose, and invoke services in a dynamic services-oriented environment.

Fundamentals of reversible flowchart languages

DEFF Research Database (Denmark)

Yokoyama, Tetsuo; Axelsen, Holger Bock; Glück, Robert

2016-01-01

Abstract This paper presents the fundamentals of reversible flowcharts. They are intended to naturally represent the structure and control flow of reversible (imperative) programming languages in a simple computation model, in the same way classical flowcharts do for conventional languages......, structured reversible flowcharts are as expressive as unstructured ones, as shown by a reversible version of the classic Structured Program Theorem. We illustrate how reversible flowcharts can be concretized with two example programming languages, complete with syntax and semantics: a low-level unstructured...... language and a high-level structured language. We introduce concrete tools such as program inverters and translators for both languages, which follow the structure suggested by the flowchart model. To further illustrate the different concepts and tools brought together in this paper, we present two major...

Why language really is not a communication system: a cognitive view of language evolution

OpenAIRE

Reboul, Anne C.

2015-01-01

While most evolutionary scenarios for language see it as a communication system with consequences on the language-ready brain, there are major difficulties for such a view. First, language has a core combination of features—semanticity, discrete infinity, and decoupling—that makes it unique among communication systems and that raise deep problems for the view that it evolved for communication. Second, extant models of communication systems—the code model of communication (Millikan, 2005) and ...

Action and Language Mechanisms in the Brain: Data, Models and Neuroinformatics

Science.gov (United States)

Bonaiuto, James J.; Bornkessel-Schlesewsky, Ina; Kemmerer, David; MacWhinney, Brian; Nielsen, Finn Årup; Oztop, Erhan

2014-01-01

We assess the challenges of studying action and language mechanisms in the brain, both singly and in relation to each other to provide a novel perspective on neuroinformatics, integrating the development of databases for encoding – separately or together – neurocomputational models and empirical data that serve systems and cognitive neuroscience. PMID:24234916

You Just Want to Be Like that Teacher: Modelling and Intercultural Competence in Young Language Learners

Science.gov (United States)

Moloney, Robyn

2008-01-01

Language teachers are called upon to understand both the nature of students' intercultural competence and their own role in its development. Limited research attention has been paid to the relationship between the types of behaviour that language teachers model and the intercultural competence their students acquire. This article reports on a case…

A Cultural Diffusion Model for the Rise and Fall of Programming Languages.

Science.gov (United States)

Valverde, Sergi; Solé, Ricard V

2015-07-01

Our interaction with complex computing machines is mediated by programming languages (PLs), which constitute one of the major innovations in the evolution of technology. PLs allow flexible, scalable, and fast use of hardware and are largely responsible for shaping the history of information technology since the rise of computers in the 1950s. The rapid growth and impact of computers were followed closely by the development of PLs. As occurs with natural, human languages, PLs have emerged and gone extinct. There has been always a diversity of coexisting PLs that compete somewhat while occupying special niches. Here we show that the statistical patterns of language adoption, rise, and fall can be accounted for by a simple model in which a set of programmers can use several PLs, decide to use existing PLs used by other programmers, or decide not to use them. Our results highlight the influence of strong communities of practice in the diffusion of PL innovations.

Testing a model of intonation in a tone language.

Science.gov (United States)

Lindau, M

1986-09-01

Schematic fundamental frequency curves of simple statements and questions are generated for Hausa, a two-tone language of Nigeria, using a modified version of an intonational model developed by Gårding and Bruce [Nordic Prosody II, edited by T. Fretheim (Tapir, Trondheim, 1981), pp. 33-39]. In this model, rules for intonation and tones are separated. Intonation is represented as sloping grids of (near) parallel lines, inside which tones are placed. The tones are associated with turning points of the fundamental frequency contour. Local rules may also modify the exact placement of a tone within the grid. The continuous fundamental frequency contour is modeled by concatenating the tonal points using polynomial equations. Thus the final pitch contour is modeled as an interaction between global and local factors. The slope of the intonational grid lines depends at least on sentence type (statement or question), sentence length, and tone pattern. The model is tested by reference to data from nine speakers of Kano Hausa.

Language-learning disabilities: Paradigms for the nineties.

Science.gov (United States)

Wiig, E H

1991-01-01

We are beginning a decade, during which many traditional paradigms in education, special education, and speech-language pathology will undergo change. Among paradigms considered promising for speech-language pathology in the schools are collaborative language intervention and strategy training for language and communication. This presentation introduces management models for developing a collaborative language intervention process, among them the Deming Management Method for Total Quality (TQ) (Deming 1986). Implementation models for language assessment and IEP planning and multicultural issues are also introduced (Damico and Nye 1990; Secord and Wiig in press). While attention to processes involved in developing and implementing collaborative language intervention is paramount, content should not be neglected. To this end, strategy training for language and communication is introduced as a viable paradigm. Macro- and micro-level process models for strategy training are featured and general issues are discussed (Ellis, Deshler, and Schumaker 1989; Swanson 1989; Wiig 1989).

Assembly language program design used in model DD80 multifunction microcomputer multichannel analyzer

Energy Technology Data Exchange (ETDEWEB)

Yiziang, Wei; Ying, Chen; Xide, Zhao

1985-05-01

This paper describes the structures, features, flowcharts and design considerations of assembly language program used in Model DD80 (FH1920) multifunction microcomputer multichannel analyzer. On the Model TRS-80 (I) microcomputer with DD80 multifunction interface this program can be used in spectrum data acquisition, spectrum live display and some spectrum data processing.

Query Language for Location-Based Services: A Model Checking Approach

Science.gov (United States)

Hoareau, Christian; Satoh, Ichiro

We present a model checking approach to the rationale, implementation, and applications of a query language for location-based services. Such query mechanisms are necessary so that users, objects, and/or services can effectively benefit from the location-awareness of their surrounding environment. The underlying data model is founded on a symbolic model of space organized in a tree structure. Once extended to a semantic model for modal logic, we regard location query processing as a model checking problem, and thus define location queries as hybrid logicbased formulas. Our approach is unique to existing research because it explores the connection between location models and query processing in ubiquitous computing systems, relies on a sound theoretical basis, and provides modal logic-based query mechanisms for expressive searches over a decentralized data structure. A prototype implementation is also presented and will be discussed.

Unsupervised Language Acquisition

Science.gov (United States)

de Marcken, Carl

1996-11-01

This thesis presents a computational theory of unsupervised language acquisition, precisely defining procedures for learning language from ordinary spoken or written utterances, with no explicit help from a teacher. The theory is based heavily on concepts borrowed from machine learning and statistical estimation. In particular, learning takes place by fitting a stochastic, generative model of language to the evidence. Much of the thesis is devoted to explaining conditions that must hold for this general learning strategy to arrive at linguistically desirable grammars. The thesis introduces a variety of technical innovations, among them a common representation for evidence and grammars, and a learning strategy that separates the ``content'' of linguistic parameters from their representation. Algorithms based on it suffer from few of the search problems that have plagued other computational approaches to language acquisition. The theory has been tested on problems of learning vocabularies and grammars from unsegmented text and continuous speech, and mappings between sound and representations of meaning. It performs extremely well on various objective criteria, acquiring knowledge that causes it to assign almost exactly the same structure to utterances as humans do. This work has application to data compression, language modeling, speech recognition, machine translation, information retrieval, and other tasks that rely on either structural or stochastic descriptions of language.

Factors Influencing Sensitivity to Lexical Tone in an Artificial Language: Implications for Second Language Learning

Science.gov (United States)

Caldwell-Harris, Catherine L.; Lancaster, Alia; Ladd, D. Robert; Dediu, Dan; Christiansen, Morten H.

2015-01-01

This study examined whether musical training, ethnicity, and experience with a natural tone language influenced sensitivity to tone while listening to an artificial tone language. The language was designed with three tones, modeled after level-tone African languages. Participants listened to a 15-min random concatenation of six 3-syllable words.…

Dynamic concision for three-dimensional reconstruction of human organ built with virtual reality modelling language (VRML)*

OpenAIRE

Yu, Zheng-yang; Zheng, Shu-sen; Chen, Lei-ting; He, Xiao-qian; Wang, Jian-jun

2005-01-01

This research studies the process of 3D reconstruction and dynamic concision based on 2D medical digital images using virtual reality modelling language (VRML) and JavaScript language, with a focus on how to realize the dynamic concision of 3D medical model with script node and sensor node in VRML. The 3D reconstruction and concision of body internal organs can be built with such high quality that they are better than those obtained from the traditional methods. With the function of dynamic c...

Teaching Culture and Language through the Multiple Intelligences Film Teaching Model in the ESL/EFL Classroom

Science.gov (United States)

Yeh, Ellen

2014-01-01

This paper will demonstrate how to enhance second language (L2) learners' linguistic and cultural competencies through the use of the Multiple Intelligences Film Teaching (MIFT) model. The paper will introduce two ideas to teachers of English as a Second/Foreign Language (ESL/EFL). First, the paper shows how L2 learners learn linguistic and…

M&C ML: A modeling language for monitoring and control systems

Energy Technology Data Exchange (ETDEWEB)

Patwari, Puneet, E-mail: patwari.puneet@tcs.com; Chaudhuri, Subhrojyoti Roy; Natarajan, Swaminathan; Muralikrishna, G

2016-11-15

Highlights: • It is challenging to maintain consistency in the current approach to M&C design. • Based on similarity across various projects, it looks ideal to propose a solution at domain level. • Approach to create a DSL for M&C involves viewing a system through lenses of various domains. • M&CML provides a standard vocabulary and the entire process of M&C solution creation domain-aware. • M&CML provides a holistic view of control architecture. • M&CML has support for inherent consistency checks, user assistance and third party support. - Abstract: The use of System Engineering (SE) language such as SysML [1,20] is common within the community of control system designers. However the design handoff to the subsequent phases of the control system development is carried out manually in most cases without much tool support. The approach to agreeing on the control interface between components is a good example where engineers still rely on either manually created Interface Control Documents (ICD) or one off tools implemented by individual projects. Square Kilometer Array (SKA) [2] and International Thermonuclear Experimental Reactor (ITER) [3] are two good examples of such large projects adopting these approaches. This results in non-uniformity in the overall system design since individual groups invent their own vocabulary while using a language like SysML which leads to inconsistencies across the design, interface and realized code. To mitigate this, we propose the development of a Monitoring and Control Modeling Language (M&CML), a domain specific language (DSL) [4,22] for specifying M&C solutions. M&C ML starts with defining a vocabulary borrowing concepts from standard practices used in the control domain and incorporates a language which ensures uniformity and consistency across the M&C design, interfaces and implementation artifacts. In this paper we discuss this language with an analysis of its usage to point out its benefits.

M&C ML: A modeling language for monitoring and control systems

International Nuclear Information System (INIS)

Patwari, Puneet; Chaudhuri, Subhrojyoti Roy; Natarajan, Swaminathan; Muralikrishna, G

2016-01-01

Highlights: • It is challenging to maintain consistency in the current approach to M&C design. • Based on similarity across various projects, it looks ideal to propose a solution at domain level. • Approach to create a DSL for M&C involves viewing a system through lenses of various domains. • M&CML provides a standard vocabulary and the entire process of M&C solution creation domain-aware. • M&CML provides a holistic view of control architecture. • M&CML has support for inherent consistency checks, user assistance and third party support. - Abstract: The use of System Engineering (SE) language such as SysML [1,20] is common within the community of control system designers. However the design handoff to the subsequent phases of the control system development is carried out manually in most cases without much tool support. The approach to agreeing on the control interface between components is a good example where engineers still rely on either manually created Interface Control Documents (ICD) or one off tools implemented by individual projects. Square Kilometer Array (SKA) [2] and International Thermonuclear Experimental Reactor (ITER) [3] are two good examples of such large projects adopting these approaches. This results in non-uniformity in the overall system design since individual groups invent their own vocabulary while using a language like SysML which leads to inconsistencies across the design, interface and realized code. To mitigate this, we propose the development of a Monitoring and Control Modeling Language (M&CML), a domain specific language (DSL) [4,22] for specifying M&C solutions. M&C ML starts with defining a vocabulary borrowing concepts from standard practices used in the control domain and incorporates a language which ensures uniformity and consistency across the M&C design, interfaces and implementation artifacts. In this paper we discuss this language with an analysis of its usage to point out its benefits.

Evaluation of Rule-based Modularization in Model Transformation Languages illustrated with ATL

NARCIS (Netherlands)

Ivanov, Ivan; van den Berg, Klaas; Jouault, Frédéric

This paper studies ways for modularizing transformation definitions in current rule-based model transformation languages. Two scenarios are shown in which the modular units are identified on the base of the relations between source and target metamodels and on the base of generic transformation

Language learning, language use and the evolution of linguistic variation

Science.gov (United States)

Perfors, Amy; Fehér, Olga; Samara, Anna; Swoboda, Kate; Wonnacott, Elizabeth

2017-01-01

Linguistic universals arise from the interaction between the processes of language learning and language use. A test case for the relationship between these factors is linguistic variation, which tends to be conditioned on linguistic or sociolinguistic criteria. How can we explain the scarcity of unpredictable variation in natural language, and to what extent is this property of language a straightforward reflection of biases in statistical learning? We review three strands of experimental work exploring these questions, and introduce a Bayesian model of the learning and transmission of linguistic variation along with a closely matched artificial language learning experiment with adult participants. Our results show that while the biases of language learners can potentially play a role in shaping linguistic systems, the relationship between biases of learners and the structure of languages is not straightforward. Weak biases can have strong effects on language structure as they accumulate over repeated transmission. But the opposite can also be true: strong biases can have weak or no effects. Furthermore, the use of language during interaction can reshape linguistic systems. Combining data and insights from studies of learning, transmission and use is therefore essential if we are to understand how biases in statistical learning interact with language transmission and language use to shape the structural properties of language. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’. PMID:27872370

Language learning, language use and the evolution of linguistic variation.

Science.gov (United States)

Smith, Kenny; Perfors, Amy; Fehér, Olga; Samara, Anna; Swoboda, Kate; Wonnacott, Elizabeth

2017-01-05

Linguistic universals arise from the interaction between the processes of language learning and language use. A test case for the relationship between these factors is linguistic variation, which tends to be conditioned on linguistic or sociolinguistic criteria. How can we explain the scarcity of unpredictable variation in natural language, and to what extent is this property of language a straightforward reflection of biases in statistical learning? We review three strands of experimental work exploring these questions, and introduce a Bayesian model of the learning and transmission of linguistic variation along with a closely matched artificial language learning experiment with adult participants. Our results show that while the biases of language learners can potentially play a role in shaping linguistic systems, the relationship between biases of learners and the structure of languages is not straightforward. Weak biases can have strong effects on language structure as they accumulate over repeated transmission. But the opposite can also be true: strong biases can have weak or no effects. Furthermore, the use of language during interaction can reshape linguistic systems. Combining data and insights from studies of learning, transmission and use is therefore essential if we are to understand how biases in statistical learning interact with language transmission and language use to shape the structural properties of language.This article is part of the themed issue 'New frontiers for statistical learning in the cognitive sciences'. © 2016 The Authors.

Indirect language therapy for children with persistent language impairment in mainstream primary schools: outcomes from a cohort intervention.

Science.gov (United States)

McCartney, Elspeth; Boyle, James; Ellis, Sue; Bannatyne, Susan; Turnbull, Mary

2011-01-01

A manualized language therapy developed via a randomized controlled trial had proved efficacious in the short-term in developing expressive language for mainstream primary school children with persistent language impairment. This therapy had been delivered to a predetermined schedule by speech and language therapists or speech and language therapy assistants to children individually or in groups. However, this model of service delivery is no longer the most common model in UK schools, where indirect consultancy approaches with intervention delivered by school staff are often used. A cohort study was undertaken to investigate whether the therapy was equally efficacious when delivered to comparable children by school staff, rather than speech and language therapists or speech and language therapy assistants. Children in the cohort study were selected using the same criteria as in the randomized controlled trial, and the same manualized therapy was used, but delivered by mainstream school staff using a consultancy model common in the UK. Outcomes were compared with those of randomized controlled trial participants. The gains in expressive language measured in the randomized controlled trial were not replicated in the cohort study. Less language-learning activity was recorded than had been planned, and less than was delivered in the randomized controlled trial. Implications for 'consultancy' speech and language therapist service delivery models in mainstream schools are outlined. At present, the more efficacious therapy is that delivered by speech and language therapists or speech and language therapy assistants to children individually or in groups. This may be related to more faithful adherence to the interventions schedule, and to a probably greater amount of language-learning activity undertaken. Intervention delivered via school-based 'consultancy' approaches in schools will require to be carefully monitored by schools and SLT services. © 2010 Royal College of

A data management infrastructure for bridge monitoring

Science.gov (United States)

Jeong, Seongwoon; Byun, Jaewook; Kim, Daeyoung; Sohn, Hoon; Bae, In Hwan; Law, Kincho H.

2015-04-01

This paper discusses a data management infrastructure framework for bridge monitoring applications. As sensor technologies mature and become economically affordable, their deployment for bridge monitoring will continue to grow. Data management becomes a critical issue not only for storing the sensor data but also for integrating with the bridge model to support other functions, such as management, maintenance and inspection. The focus of this study is on the effective data management of bridge information and sensor data, which is crucial to structural health monitoring and life cycle management of bridge structures. We review the state-of-the-art of bridge information modeling and sensor data management, and propose a data management framework for bridge monitoring based on NoSQL database technologies that have been shown useful in handling high volume, time-series data and to flexibly deal with unstructured data schema. Specifically, Apache Cassandra and Mongo DB are deployed for the prototype implementation of the framework. This paper describes the database design for an XML-based Bridge Information Modeling (BrIM) schema, and the representation of sensor data using Sensor Model Language (SensorML). The proposed prototype data management framework is validated using data collected from the Yeongjong Bridge in Incheon, Korea.

Tracking Typological Traits of Uralic Languages in Distributed Language Representations

DEFF Research Database (Denmark)

Bjerva, Johannes; Augenstein, Isabelle

2018-01-01

Although linguistic typology has a long history, computational approaches have only recently gained popularity. The use of distributed representations in computational linguistics has also become increasingly popular. A recent development is to learn distributed representations of language...... for model transfer between Uralic languages in deep neural networks. We then investigate which typological features are encoded in these representations by attempting to predict features in the World Atlas of Language Structures, at various stages of fine-tuning of the representations. We focus on Uralic...

A Blended Learning Model for Teaching Reading in English as a Foreign Language

Science.gov (United States)

Karkour, Islam

2014-01-01

The aim of this paper is to describe a blended learning model to be used in Egyptian schools when teaching reading classes in English as a foreign language. This paper is divided into three parts. The first part outlines the Egyptian context and describes the target learners. The second part describes the suggested blended learning model, which is…

Influence of additional language learning on first language learning in children with language disorders.

Science.gov (United States)

To, Carol K S; Law, Thomas; Li, Xin-xin

2012-01-01

Multilingualism can bring about various positive outcomes to typically developing children. Its effect on children with language difficulties is not yet clear. The aim of this study was to examine the effects of multilingual learning as a medium of instruction (MOI) on first language (L1) acquisition of children with language disorders (LD). Nineteen Cantonese-speaking students aged 5;8-6;8 who were diagnosed with LD were recruited from a school that used Putonghua (an alternative Chinese dialect) as the MOI when learning Chinese language and were compared with 18 age-and-gender-matched Cantonese-speaking students with LD from a school that used Cantonese as the MOI when learning Chinese language. All the students also learned English (L2) as a subject at school. Proficiency in Cantonese was tested at the beginning and the end of the semester in Grade One in terms of: (1) grammar, (2) expressive vocabulary, (3) auditory textual comprehension, (4) word definition and (5) narration. Mixed-model ANOVAs revealed an effect of time on language proficiency indicating positive gains in both groups. Interaction effects between time and group were not significant. There was a trend that children learning Putonghua showed slightly more improvement in auditory textual comprehension. Proficiency gains were similar across groups. The study found no evidence that a multilingual learning environment hinders the language proficiency in L1 in students who have LD. © 2011 Royal College of Speech and Language Therapists.

The medical simulation markup language - simplifying the biomechanical modeling workflow.

Science.gov (United States)

Suwelack, Stefan; Stoll, Markus; Schalck, Sebastian; Schoch, Nicolai; Dillmann, Rüdiger; Bendl, Rolf; Heuveline, Vincent; Speidel, Stefanie

2014-01-01

Modeling and simulation of the human body by means of continuum mechanics has become an important tool in diagnostics, computer-assisted interventions and training. This modeling approach seeks to construct patient-specific biomechanical models from tomographic data. Usually many different tools such as segmentation and meshing algorithms are involved in this workflow. In this paper we present a generalized and flexible description for biomechanical models. The unique feature of the new modeling language is that it not only describes the final biomechanical simulation, but also the workflow how the biomechanical model is constructed from tomographic data. In this way, the MSML can act as a middleware between all tools used in the modeling pipeline. The MSML thus greatly facilitates the prototyping of medical simulation workflows for clinical and research purposes. In this paper, we not only detail the XML-based modeling scheme, but also present a concrete implementation. Different examples highlight the flexibility, robustness and ease-of-use of the approach.

Using an LMS for Foreign Language Teaching/Learning: An Attempt Based on the "Cyclic Model of Learning"

OpenAIRE

SUMI, Seijiro; TAKEUCHI, Osamu

2008-01-01

The purposes of the study are (a) to put the “cyclic model of learning” into practice by means of an LMS (Learning Management System) for foreign language teaching /learning, and (b) to examine how the “cyclic model of learning” influences improvement of students' English ability in both proficiency and achievement. Current major concerns of CALL (Computer Assisted Language learning) research have shifted from piecemeal and experimental tests of the use of technology in a single computer lab ...

Blueprint model and language for engineering cloud applications

NARCIS (Netherlands)

Nguyen, D.K.

2013-01-01

The research presented in this thesis is positioned within the domain of engineering CSBAs. Its contribution is twofold: (1) a uniform specification language, called the Blueprint Specification Language (BSL), for specifying cloud services across several cloud vendors and (2) a set of associated

From phonemes to images : levels of representation in a recurrent neural model of visually-grounded language learning

NARCIS (Netherlands)

Gelderloos, L.J.; Chrupala, Grzegorz

2016-01-01

We present a model of visually-grounded language learning based on stacked gated recurrent neural networks which learns to predict visual features given an image description in the form of a sequence of phonemes. The learning task resembles that faced by human language learners who need to discover

Language competition in a population of migrating agents

Science.gov (United States)

Lipowska, Dorota; Lipowski, Adam

2017-05-01

Influencing various aspects of human activity, migration is associated also with language formation. To examine the mutual interaction of these processes, we study a Naming Game with migrating agents. The dynamics of the model leads to formation of low-mobility clusters, which turns out to break the symmetry of the model: although the Naming Game remains symmetric, low-mobility languages are favored. High-mobility languages are gradually eliminated from the system, and the dynamics of language formation considerably slows down. Our model is too simple to explain in detail language competition of migrating human communities, but it certainly shows that languages of settlers are favored over nomadic ones.

Gaussian mixture modeling of hemispheric lateralization for language in a large sample of healthy individuals balanced for handedness.

Science.gov (United States)

Mazoyer, Bernard; Zago, Laure; Jobard, Gaël; Crivello, Fabrice; Joliot, Marc; Perchey, Guy; Mellet, Emmanuel; Petit, Laurent; Tzourio-Mazoyer, Nathalie

2014-01-01

Hemispheric lateralization for language production and its relationships with manual preference and manual preference strength were studied in a sample of 297 subjects, including 153 left-handers (LH). A hemispheric functional lateralization index (HFLI) for language was derived from fMRI acquired during a covert sentence generation task as compared with a covert word list recitation. The multimodal HFLI distribution was optimally modeled using a mixture of 3 and 4 Gaussian functions in right-handers (RH) and LH, respectively. Gaussian function parameters helped to define 3 types of language hemispheric lateralization, namely "Typical" (left hemisphere dominance with clear positive HFLI values, 88% of RH, 78% of LH), "Ambilateral" (no dominant hemisphere with HFLI values close to 0, 12% of RH, 15% of LH) and "Strongly-atypical" (right-hemisphere dominance with clear negative HFLI values, 7% of LH). Concordance between dominant hemispheres for hand and for language did not exceed chance level, and most of the association between handedness and language lateralization was explained by the fact that all Strongly-atypical individuals were left-handed. Similarly, most of the relationship between language lateralization and manual preference strength was explained by the fact that Strongly-atypical individuals exhibited a strong preference for their left hand. These results indicate that concordance of hemispheric dominance for hand and for language occurs barely above the chance level, except in a group of rare individuals (less than 1% in the general population) who exhibit strong right hemisphere dominance for both language and their preferred hand. They call for a revisit of models hypothesizing common determinants for handedness and for language dominance.

Gaussian mixture modeling of hemispheric lateralization for language in a large sample of healthy individuals balanced for handedness.

Directory of Open Access Journals (Sweden)

Bernard Mazoyer

Full Text Available Hemispheric lateralization for language production and its relationships with manual preference and manual preference strength were studied in a sample of 297 subjects, including 153 left-handers (LH. A hemispheric functional lateralization index (HFLI for language was derived from fMRI acquired during a covert sentence generation task as compared with a covert word list recitation. The multimodal HFLI distribution was optimally modeled using a mixture of 3 and 4 Gaussian functions in right-handers (RH and LH, respectively. Gaussian function parameters helped to define 3 types of language hemispheric lateralization, namely "Typical" (left hemisphere dominance with clear positive HFLI values, 88% of RH, 78% of LH, "Ambilateral" (no dominant hemisphere with HFLI values close to 0, 12% of RH, 15% of LH and "Strongly-atypical" (right-hemisphere dominance with clear negative HFLI values, 7% of LH. Concordance between dominant hemispheres for hand and for language did not exceed chance level, and most of the association between handedness and language lateralization was explained by the fact that all Strongly-atypical individuals were left-handed. Similarly, most of the relationship between language lateralization and manual preference strength was explained by the fact that Strongly-atypical individuals exhibited a strong preference for their left hand. These results indicate that concordance of hemispheric dominance for hand and for language occurs barely above the chance level, except in a group of rare individuals (less than 1% in the general population who exhibit strong right hemisphere dominance for both language and their preferred hand. They call for a revisit of models hypothesizing common determinants for handedness and for language dominance.

Bayesian Recurrent Neural Network for Language Modeling.

Science.gov (United States)

Chien, Jen-Tzung; Ku, Yuan-Chu

2016-02-01

A language model (LM) is calculated as the probability of a word sequence that provides the solution to word prediction for a variety of information systems. A recurrent neural network (RNN) is powerful to learn the large-span dynamics of a word sequence in the continuous space. However, the training of the RNN-LM is an ill-posed problem because of too many parameters from a large dictionary size and a high-dimensional hidden layer. This paper presents a Bayesian approach to regularize the RNN-LM and apply it for continuous speech recognition. We aim to penalize the too complicated RNN-LM by compensating for the uncertainty of the estimated model parameters, which is represented by a Gaussian prior. The objective function in a Bayesian classification network is formed as the regularized cross-entropy error function. The regularized model is constructed not only by calculating the regularized parameters according to the maximum a posteriori criterion but also by estimating the Gaussian hyperparameter by maximizing the marginal likelihood. A rapid approximation to a Hessian matrix is developed to implement the Bayesian RNN-LM (BRNN-LM) by selecting a small set of salient outer-products. The proposed BRNN-LM achieves a sparser model than the RNN-LM. Experiments on different corpora show the robustness of system performance by applying the rapid BRNN-LM under different conditions.

Functional language shift to the right hemisphere in patients with language-eloquent brain tumors.

Science.gov (United States)

Krieg, Sandro M; Sollmann, Nico; Hauck, Theresa; Ille, Sebastian; Foerschler, Annette; Meyer, Bernhard; Ringel, Florian

2013-01-01

Language function is mainly located within the left hemisphere of the brain, especially in right-handed subjects. However, functional MRI (fMRI) has demonstrated changes of language organization in patients with left-sided perisylvian lesions to the right hemisphere. Because intracerebral lesions can impair fMRI, this study was designed to investigate human language plasticity with a virtual lesion model using repetitive navigated transcranial magnetic stimulation (rTMS). Fifteen patients with lesions of left-sided language-eloquent brain areas and 50 healthy and purely right-handed participants underwent bilateral rTMS language mapping via an object-naming task. All patients were proven to have left-sided language function during awake surgery. The rTMS-induced language errors were categorized into 6 different error types. The error ratio (induced errors/number of stimulations) was determined for each brain region on both hemispheres. A hemispheric dominance ratio was then defined for each region as the quotient of the error ratio (left/right) of the corresponding area of both hemispheres (ratio >1 = left dominant; ratio right dominant). Patients with language-eloquent lesions showed a statistically significantly lower ratio than healthy participants concerning "all errors" and "all errors without hesitations", which indicates a higher participation of the right hemisphere in language function. Yet, there was no cortical region with pronounced difference in language dominance compared to the whole hemisphere. This is the first study that shows by means of an anatomically accurate virtual lesion model that a shift of language function to the non-dominant hemisphere can occur.

Bootstrapping language acquisition.

Science.gov (United States)

Abend, Omri; Kwiatkowski, Tom; Smith, Nathaniel J; Goldwater, Sharon; Steedman, Mark

2017-07-01

The semantic bootstrapping hypothesis proposes that children acquire their native language through exposure to sentences of the language paired with structured representations of their meaning, whose component substructures can be associated with words and syntactic structures used to express these concepts. The child's task is then to learn a language-specific grammar and lexicon based on (probably contextually ambiguous, possibly somewhat noisy) pairs of sentences and their meaning representations (logical forms). Starting from these assumptions, we develop a Bayesian probabilistic account of semantically bootstrapped first-language acquisition in the child, based on techniques from computational parsing and interpretation of unrestricted text. Our learner jointly models (a) word learning: the mapping between components of the given sentential meaning and lexical words (or phrases) of the language, and (b) syntax learning: the projection of lexical elements onto sentences by universal construction-free syntactic rules. Using an incremental learning algorithm, we apply the model to a dataset of real syntactically complex child-directed utterances and (pseudo) logical forms, the latter including contextually plausible but irrelevant distractors. Taking the Eve section of the CHILDES corpus as input, the model simulates several well-documented phenomena from the developmental literature. In particular, the model exhibits syntactic bootstrapping effects (in which previously learned constructions facilitate the learning of novel words), sudden jumps in learning without explicit parameter setting, acceleration of word-learning (the "vocabulary spurt"), an initial bias favoring the learning of nouns over verbs, and one-shot learning of words and their meanings. The learner thus demonstrates how statistical learning over structured representations can provide a unified account for these seemingly disparate phenomena. Copyright © 2017 Elsevier B.V. All rights reserved.

SSBRP Communication & Data System Development using the Unified Modeling Language (UML)

Science.gov (United States)

Windrem, May; Picinich, Lou; Givens, John J. (Technical Monitor)

1998-01-01

The Unified Modeling Language (UML) is the standard method for specifying, visualizing, and documenting the artifacts of an object-oriented system under development. UML is the unification of the object-oriented methods developed by Grady Booch and James Rumbaugh, and of the Use Case Model developed by Ivar Jacobson. This paper discusses the application of UML by the Communications and Data Systems (CDS) team to model the ground control and command of the Space Station Biological Research Project (SSBRP) User Operations Facility (UOF). UML is used to define the context of the system, the logical static structure, the life history of objects, and the interactions among objects.

EFL Learners' Home Culture Attachment and their Attitudes towards English Language Learning: A structural equation modeling approach

Directory of Open Access Journals (Sweden)

Zahra Sharifi Feriz

2017-10-01

Full Text Available The purpose of the present study is to examine home culture attachment construct and its underlying variables among Iranian English as Foreign Language learners as well as their attitudes towards English language learning. Pearson correlation is used with a sample of 411 English major university students from different provinces in Iran, mainly Khorasan Razavi, Khoran Jonoubi and Sistan Baluchestan participated in this study. As for the quantitative phase of data collection, the study employed home culture attachment and attitude towards English language learning questionnaires. The reliability and validity of these questionnaires are reported. A home culture attachment model and an attitude model are also developed and tested using structural equation modeling. The results suggest that all three subscales of attitudes (emotional, behavioral, and cognitive are positive and significant predictors of students' western attachment. From three subscales of attitude, only behavioral attitude is negative and significant predictors of students' religious attachment. In addition, Iranian attachment is influenced by cognitive attitudes and emotional attitudes. Besides, cognitive attitude is a positive and significant predictor of students' cultural attachment. It is also found that, artistic attachment is influenced by behavioral attitudes and emotional attitudes. Finally, the pedagogical implications are discussed in light of foreign language achievement.

Conversion of HSPF Legacy Model to a Platform-Independent, Open-Source Language

Science.gov (United States)

Heaphy, R. T.; Burke, M. P.; Love, J. T.

2015-12-01

Since its initial development over 30 years ago, the Hydrologic Simulation Program - FORTAN (HSPF) model has been used worldwide to support water quality planning and management. In the United States, HSPF receives widespread endorsement as a regulatory tool at all levels of government and is a core component of the EPA's Better Assessment Science Integrating Point and Nonpoint Sources (BASINS) system, which was developed to support nationwide Total Maximum Daily Load (TMDL) analysis. However, the model's legacy code and data management systems have limitations in their ability to integrate with modern software, hardware, and leverage parallel computing, which have left voids in optimization, pre-, and post-processing tools. Advances in technology and our scientific understanding of environmental processes that have occurred over the last 30 years mandate that upgrades be made to HSPF to allow it to evolve and continue to be a premiere tool for water resource planners. This work aims to mitigate the challenges currently facing HSPF through two primary tasks: (1) convert code to a modern widely accepted, open-source, high-performance computing (hpc) code; and (2) convert model input and output files to modern widely accepted, open-source, data model, library, and binary file format. Python was chosen as the new language for the code conversion. It is an interpreted, object-oriented, hpc code with dynamic semantics that has become one of the most popular open-source languages. While python code execution can be slow compared to compiled, statically typed programming languages, such as C and FORTRAN, the integration of Numba (a just-in-time specializing compiler) has allowed this challenge to be overcome. For the legacy model data management conversion, HDF5 was chosen to store the model input and output. The code conversion for HSPF's hydrologic and hydraulic modules has been completed. The converted code has been tested against HSPF's suite of "test" runs and shown

Language Adaptation for Extending Post-Editing Estimates for Closely Related Languages

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Rios Miguel

2016-10-01

Full Text Available This paper presents an open-source toolkit for predicting human post-editing efforts for closely related languages. At the moment, training resources for the Quality Estimation task are available for very few language directions and domains. Available resources can be expanded on the assumption that MT errors and the amount of post-editing required to correct them are comparable across related languages, even if the feature frequencies differ. In this paper we report a toolkit for achieving language adaptation, which is based on learning new feature representation using transfer learning methods. In particular, we report performance of a method based on Self-Taught Learning which adapts the English-Spanish pair to produce Quality Estimation models for translation from English into Portuguese, Italian and other Romance languages using the publicly available Autodesk dataset.

Bigraphical Languages and their Simulation

DEFF Research Database (Denmark)

Højsgaard, Espen

-trivial. A key problem is that of matching: deciding if and how a reaction rule applies to a bigraph. In this dissertation, we study bigraphs and their simulation for two types of practical formal languages: programming languages and languages for cell biology. First, we study programming languages and binding...... bigraphs, a variant of bigraphs with a facility for modeling the binders found in most programming languages. We construct and implement a provably correct term-based matching algorithm resulting in the BPL Tool, a first tool for binding bigraphs, which provides facilities for modeling, simulation...... of stochastic behavior which is useful in cell biology. We generalize an efficient and scalable stochastic simulation algorithm for the k-calculus to bigraphs. For this purpose, we develop and implement a number of theories for (stochastic) bigraphs: a formulation of the theory that is amenable...

A coordination language for databases

DEFF Research Database (Denmark)

Li, Ximeng; Wu, Xi; Lluch Lafuente, Alberto

2017-01-01

We present a coordination language for the modeling of distributed database applications. The language, baptized Klaim-DB, borrows the concepts of localities and nets of the coordination language Klaim but re-incarnates the tuple spaces of Klaim as databases. It provides high-level abstractions...... and primitives for the access and manipulation of structured data, with integrity and atomicity considerations. We present the formal semantics of Klaim-DB and develop a type system that avoids potential runtime errors such as certain evaluation errors and mismatches of data format in tables, which are monitored...... in the semantics. The use of the language is illustrated in a scenario where the sales from different branches of a chain of department stores are aggregated from their local databases. Raising the abstraction level and encapsulating integrity checks in the language primitives have benefited the modeling task...

Storytelling, behavior planning, and language evolution in context.

Science.gov (United States)

McBride, Glen

2014-01-01

An attempt is made to specify the structure of the hominin bands that began steps to language. Storytelling could evolve without need for language yet be strongly subject to natural selection and could provide a major feedback process in evolving language. A storytelling model is examined, including its effects on the evolution of consciousness and the possible timing of language evolution. Behavior planning is presented as a model of language evolution from storytelling. The behavior programming mechanism in both directions provide a model of creating and understanding behavior and language. Culture began with societies, then family evolution, family life in troops, but storytelling created a culture of experiences, a final step in the long process of achieving experienced adults by natural selection. Most language evolution occurred in conversations where evolving non-verbal feedback ensured mutual agreements on understanding. Natural language evolved in conversations with feedback providing understanding of changes.

Language Teachers' Target Language Project: Language for Specific Purposes of Language Teaching

Science.gov (United States)

Korenev, Alexey; Westbrook, Carolyn; Merry, Yvonne; Ershova, Tatiana

2016-01-01

The Language Teachers' Target Language project (LTTL) aims to describe language teachers' target language use domain (Bachman & Palmer 2010) and to develop a language test for future teachers of English. The team comprises four researchers from Moscow State University (MSU) and Southampton Solent University.

The assembly language program design used in model DD80 multifunction microcomputer multichannel analyzer

International Nuclear Information System (INIS)

Wei Yiziang; Chen Ying; Zhao Xide

1985-01-01

This paper describes the structures, features, flowcharts and design considerations of assembly language program used in Model DD80 (FH1920) multifunction microcomputer multichannel analyzer. On the Model TRS-80 (I) microcomputer with DD80 multifunction interface this program can be used in spectrum data acquisition, spectrum live display and some spectrum data processing

The Evolution of a Connectionist Model of Situated Human Language Understanding

Science.gov (United States)

Mayberry, Marshall R.; Crocker, Matthew W.

The Adaptive Mechanisms in Human Language Processing (ALPHA) project features both experimental and computational tracks designed to complement each other in the investigation of the cognitive mechanisms that underlie situated human utterance processing. The models developed in the computational track replicate results obtained in the experimental track and, in turn, suggest further experiments by virtue of behavior that arises as a by-product of their operation.

Recognizing Chinese characters in digital ink from non-native language writers using hierarchical models

Science.gov (United States)

Bai, Hao; Zhang, Xi-wen

2017-06-01

While Chinese is learned as a second language, its characters are taught step by step from their strokes to components, radicals to components, and their complex relations. Chinese Characters in digital ink from non-native language writers are deformed seriously, thus the global recognition approaches are poorer. So a progressive approach from bottom to top is presented based on hierarchical models. Hierarchical information includes strokes and hierarchical components. Each Chinese character is modeled as a hierarchical tree. Strokes in one Chinese characters in digital ink are classified with Hidden Markov Models and concatenated to the stroke symbol sequence. And then the structure of components in one ink character is extracted. According to the extraction result and the stroke symbol sequence, candidate characters are traversed and scored. Finally, the recognition candidate results are listed by descending. The method of this paper is validated by testing 19815 copies of the handwriting Chinese characters written by foreign students.

Functional Language Shift to the Right Hemisphere in Patients with Language-Eloquent Brain Tumors

Science.gov (United States)

Krieg, Sandro M.; Sollmann, Nico; Hauck, Theresa; Ille, Sebastian; Foerschler, Annette; Meyer, Bernhard; Ringel, Florian

2013-01-01

Objectives Language function is mainly located within the left hemisphere of the brain, especially in right-handed subjects. However, functional MRI (fMRI) has demonstrated changes of language organization in patients with left-sided perisylvian lesions to the right hemisphere. Because intracerebral lesions can impair fMRI, this study was designed to investigate human language plasticity with a virtual lesion model using repetitive navigated transcranial magnetic stimulation (rTMS). Experimental design Fifteen patients with lesions of left-sided language-eloquent brain areas and 50 healthy and purely right-handed participants underwent bilateral rTMS language mapping via an object-naming task. All patients were proven to have left-sided language function during awake surgery. The rTMS-induced language errors were categorized into 6 different error types. The error ratio (induced errors/number of stimulations) was determined for each brain region on both hemispheres. A hemispheric dominance ratio was then defined for each region as the quotient of the error ratio (left/right) of the corresponding area of both hemispheres (ratio >1  =  left dominant; ratio dominant). Results Patients with language-eloquent lesions showed a statistically significantly lower ratio than healthy participants concerning “all errors” and “all errors without hesitations”, which indicates a higher participation of the right hemisphere in language function. Yet, there was no cortical region with pronounced difference in language dominance compared to the whole hemisphere. Conclusions This is the first study that shows by means of an anatomically accurate virtual lesion model that a shift of language function to the non-dominant hemisphere can occur. PMID:24069410

Fitting direct covariance structures by the MSTRUCT modeling language of the CALIS procedure.

Science.gov (United States)

Yung, Yiu-Fai; Browne, Michael W; Zhang, Wei

2015-02-01

This paper demonstrates the usefulness and flexibility of the general structural equation modelling (SEM) approach to fitting direct covariance patterns or structures (as opposed to fitting implied covariance structures from functional relationships among variables). In particular, the MSTRUCT modelling language (or syntax) of the CALIS procedure (SAS/STAT version 9.22 or later: SAS Institute, 2010) is used to illustrate the SEM approach. The MSTRUCT modelling language supports a direct covariance pattern specification of each covariance element. It also supports the input of additional independent and dependent parameters. Model tests, fit statistics, estimates, and their standard errors are then produced under the general SEM framework. By using numerical and computational examples, the following tests of basic covariance patterns are illustrated: sphericity, compound symmetry, and multiple-group covariance patterns. Specification and testing of two complex correlation structures, the circumplex pattern and the composite direct product models with or without composite errors and scales, are also illustrated by the MSTRUCT syntax. It is concluded that the SEM approach offers a general and flexible modelling of direct covariance and correlation patterns. In conjunction with the use of SAS macros, the MSTRUCT syntax provides an easy-to-use interface for specifying and fitting complex covariance and correlation structures, even when the number of variables or parameters becomes large. © 2014 The British Psychological Society.

Authorizing the Foreign Language Students.

Science.gov (United States)

Maxim, Hiram H.

1998-01-01

Reviews current practices in foreign-language teaching in light of Bourdieu's theories of language and power to show how failing to assess discursive intent prevents students from understanding strategic use of language. Bordieu's model is then proposed as the basis for pedagogy that authorizes students to use their existing cognitive skills in…

Beyond the Ancestral Code: Towards a Model for Sociolinguistic Language Documentation

Science.gov (United States)

Childs, Tucker; Good, Jeff; Mitchell, Alice

2014-01-01

Most language documentation efforts focus on capturing lexico-grammatical information on individual languages. Comparatively little effort has been devoted to considering a language's sociolinguistic contexts. In parts of the world characterized by high degrees of multilingualism, questions surrounding the factors involved in language choice and…

Language and Cognition Interaction Neural Mechanisms

OpenAIRE

Perlovsky, Leonid

2011-01-01

How language and cognition interact in thinking? Is language just used for communication of completed thoughts, or is it fundamental for thinking? Existing approaches have not led to a computational theory. We develop a hypothesis that language and cognition are two separate but closely interacting mechanisms. Language accumulates cultural wisdom; cognition develops mental representations modeling surrounding world and adapts cultural knowledge to concrete circumstances of life. Language is a...

NDEA FOREIGN LANGUAGE INSTITUTE PROGRAMS--THE DEVELOPMENT OF A NEW EDUCATIONAL MODEL.

Science.gov (United States)

AXELROD, JOSEPH

FOREIGN LANGUAGE INSTITUTE PROGRAMS, HAVING ADOPTED A STRUCTURE OUTSIDE OF THE DOMINANT MODEL IN EDUCATION, HIGHLIGHT WHAT IS WRONG WITH THE ESTABLISHED HIGHER EDUCATIONAL SYSTEM AND GIVE CLUES AS TO HOW IT MAY BE IMPROVED. THESE INSTITUTE PROGRAMS OFFER A PERSONALIZED ATMOSPHERE, WITH CURRICULAR UNITY, WHERE LEARNING IS MORE OF A GROUP ACTIVITY,…

Storytelling, behavior planning and language evolution in context.

Directory of Open Access Journals (Sweden)

Glen eMcbride

2014-10-01

Full Text Available An attempt is made to specify the structure of the hominin bands that began steps to language. 8 Storytelling could evolve without need for language yet be strongly subject to natural selection 9 and could provide a major feedback process in evolving language. A storytelling model is 10 examined, including its effects on the evolution of consciousness and the possible timing of 11 language evolution. Behavior planning is presented as a model of language evolution from 12 storytelling. The behavior programming mechanism in both directions provide a model of 13 creating and understanding behavior and language. Culture began with societies, then family 14 evolution, family life in troops, but storytelling created a culture of experiences, a final step in 15 the long process of achieving experienced adults by natural selection. Most language evolution 16 occurred in conversations where evolving non-verbal feedback ensured mutual agreements on 17 understanding. Natural language evolved in conversations with feedback providing 18 understanding of changes.

Developing Bigraphical Languages

DEFF Research Database (Denmark)

Damgaard, Troels Christoffer

In this dissertation, we study bigraphical languages—languages based on the theory for bigraphs and bigraphical reactive systems developed by Milner and coworkers. We begin by examining algebraic theory for binding bigraphs. We give a term language for binding bigraphs and develop a complete......, a prototype tool for experimenting with bigraphical reactive systems. In a second line of work, we study bigraphical reactive systems as a vehicle for developing a language to model biochemical reactions at the level of cells and proteins. We discuss and isolate B,R-calculi, a family of bigraphical reactive...

Polyphonic Piano Transcription with a Note-Based Music Language Model

Directory of Open Access Journals (Sweden)

Qi Wang

2018-03-01

Full Text Available This paper proposes a note-based music language model (MLM for improving note-level polyphonic piano transcription. The MLM is based on the recurrent structure, which could model the temporal correlations between notes in music sequences. To combine the outputs of the note-based MLM and acoustic model directly, an integrated architecture is adopted in this paper. We also propose an inference algorithm, in which the note-based MLM is used to predict notes at the blank onsets in the thresholding transcription results. The experimental results show that the proposed inference algorithm improves the performance of note-level transcription. We also observe that the combination of the restricted Boltzmann machine (RBM and recurrent structure outperforms a single recurrent neural network (RNN or long short-term memory network (LSTM in modeling the high-dimensional note sequences. Among all the MLMs, LSTM-RBM helps the system yield the best results on all evaluation metrics regardless of the performance of acoustic models.

Neural systems language: a formal modeling language for the systematic description, unambiguous communication, and automated digital curation of neural connectivity.

Science.gov (United States)

Brown, Ramsay A; Swanson, Larry W

2013-09-01

Systematic description and the unambiguous communication of findings and models remain among the unresolved fundamental challenges in systems neuroscience. No common descriptive frameworks exist to describe systematically the connective architecture of the nervous system, even at the grossest level of observation. Furthermore, the accelerating volume of novel data generated on neural connectivity outpaces the rate at which this data is curated into neuroinformatics databases to synthesize digitally systems-level insights from disjointed reports and observations. To help address these challenges, we propose the Neural Systems Language (NSyL). NSyL is a modeling language to be used by investigators to encode and communicate systematically reports of neural connectivity from neuroanatomy and brain imaging. NSyL engenders systematic description and communication of connectivity irrespective of the animal taxon described, experimental or observational technique implemented, or nomenclature referenced. As a language, NSyL is internally consistent, concise, and comprehensible to both humans and computers. NSyL is a promising development for systematizing the representation of neural architecture, effectively managing the increasing volume of data on neural connectivity and streamlining systems neuroscience research. Here we present similar precedent systems, how NSyL extends existing frameworks, and the reasoning behind NSyL's development. We explore NSyL's potential for balancing robustness and consistency in representation by encoding previously reported assertions of connectivity from the literature as examples. Finally, we propose and discuss the implications of a framework for how NSyL will be digitally implemented in the future to streamline curation of experimental results and bridge the gaps among anatomists, imagers, and neuroinformatics databases. Copyright © 2013 Wiley Periodicals, Inc.

The "SignOn"-Model for Teaching Written Language to Deaf People

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Marlene Hilzensauer

2012-08-01

Full Text Available This paper shows a method of teaching written language to deaf people using sign language as the language of instruction. Written texts in the target language are combined with sign language videos which provide the users with various modes of translation (words/phrases/sentences. As examples, two EU projects for English for the Deaf are presented which feature English texts and translations into the national sign languages of all the partner countries plus signed grammar explanations and interactive exercises. Both courses are web-based; the programs may be accessed free of charge via the respective homepages (without any download or log-in.

On Training Bi-directional Neural Network Language Model with Noise Contrastive Estimation

OpenAIRE

He, Tianxing; Zhang, Yu; Droppo, Jasha; Yu, Kai

2016-01-01

We propose to train bi-directional neural network language model(NNLM) with noise contrastive estimation(NCE). Experiments are conducted on a rescore task on the PTB data set. It is shown that NCE-trained bi-directional NNLM outperformed the one trained by conventional maximum likelihood training. But still(regretfully), it did not out-perform the baseline uni-directional NNLM.

How Language Is Embodied in Bilinguals and Children with Specific Language Impairment

Science.gov (United States)

Adams, Ashley M.

2016-01-01

This manuscript explores the role of embodied views of language comprehension and production in bilingualism and specific language impairment. Reconceptualizing popular models of bilingual language processing, the embodied theory is first extended to this area. Issues such as semantic grounding in a second language and potential differences between early and late acquisition of a second language are discussed. Predictions are made about how this theory informs novel ways of thinking about teaching a second language. Secondly, the comorbidity of speech, language, and motor impairments and how embodiment theory informs the discussion of the etiology of these impairments is examined. A hypothesis is presented suggesting that what is often referred to as specific language impairment may not be so specific due to widespread subclinical motor deficits in this population. Predictions are made about how weaknesses and instabilities in speech motor control, even at a subclinical level, may disrupt the neural network that connects acoustic input, articulatory motor plans, and semantics. Finally, I make predictions about how this information informs clinical practice for professionals such as speech language pathologists and occupational and physical therapists. These new hypotheses are placed within the larger framework of the body of work pertaining to semantic grounding, action-based language acquisition, and action-perception links that underlie language learning and conceptual grounding. PMID:27582716

Gendered language attitudes: exploring language as a gendered construct using Rasch measurement theory.

Science.gov (United States)

Knisely, Kris A; Wind, Stefanie A

2015-01-01

Gendered language attitudes (GLAs) are gender-based perceptions of language varieties based on connections between gender-related and linguistic characteristics of individuals, including the perception of language varieties as possessing degrees of masculinity and femininity. This study combines substantive theory about language learning and gender with a model based on Rasch measurement theory to explore the psychometric properties of a new measure of GLAs. Findings suggest that GLAs is a unidimensional construct and that the items used can be used to describe differences among students in terms of the strength of their GLAs. Implications for research, theory, and practice are discussed. Special emphasis is given to the teaching and learning of languages.

Picture languages formal models for picture recognition

CERN Document Server

Rosenfeld, Azriel

1979-01-01

Computer Science and Applied Mathematics: Picture Languages: Formal Models for Picture Recognition treats pictorial pattern recognition from the formal standpoint of automata theory. This book emphasizes the capabilities and relative efficiencies of two types of automata-array automata and cellular array automata, with respect to various array recognition tasks. The array automata are simple processors that perform sequences of operations on arrays, while the cellular array automata are arrays of processors that operate on pictures in a highly parallel fashion, one processor per picture element. This compilation also reviews a collection of results on two-dimensional sequential and parallel array acceptors. Some of the analogous one-dimensional results and array grammars and their relation to acceptors are likewise covered in this text. This publication is suitable for researchers, professionals, and specialists interested in pattern recognition and automata theory.

Pharmacometrics Markup Language (PharmML): Opening New Perspectives for Model Exchange in Drug Development

Science.gov (United States)

Swat, MJ; Moodie, S; Wimalaratne, SM; Kristensen, NR; Lavielle, M; Mari, A; Magni, P; Smith, MK; Bizzotto, R; Pasotti, L; Mezzalana, E; Comets, E; Sarr, C; Terranova, N; Blaudez, E; Chan, P; Chard, J; Chatel, K; Chenel, M; Edwards, D; Franklin, C; Giorgino, T; Glont, M; Girard, P; Grenon, P; Harling, K; Hooker, AC; Kaye, R; Keizer, R; Kloft, C; Kok, JN; Kokash, N; Laibe, C; Laveille, C; Lestini, G; Mentré, F; Munafo, A; Nordgren, R; Nyberg, HB; Parra-Guillen, ZP; Plan, E; Ribba, B; Smith, G; Trocóniz, IF; Yvon, F; Milligan, PA; Harnisch, L; Karlsson, M; Hermjakob, H; Le Novère, N

2015-01-01

The lack of a common exchange format for mathematical models in pharmacometrics has been a long-standing problem. Such a format has the potential to increase productivity and analysis quality, simplify the handling of complex workflows, ensure reproducibility of research, and facilitate the reuse of existing model resources. Pharmacometrics Markup Language (PharmML), currently under development by the Drug Disease Model Resources (DDMoRe) consortium, is intended to become an exchange standard in pharmacometrics by providing means to encode models, trial designs, and modeling steps. PMID:26225259

Pharmacometrics Markup Language (PharmML): Opening New Perspectives for Model Exchange in Drug Development.

Science.gov (United States)

Swat, M J; Moodie, S; Wimalaratne, S M; Kristensen, N R; Lavielle, M; Mari, A; Magni, P; Smith, M K; Bizzotto, R; Pasotti, L; Mezzalana, E; Comets, E; Sarr, C; Terranova, N; Blaudez, E; Chan, P; Chard, J; Chatel, K; Chenel, M; Edwards, D; Franklin, C; Giorgino, T; Glont, M; Girard, P; Grenon, P; Harling, K; Hooker, A C; Kaye, R; Keizer, R; Kloft, C; Kok, J N; Kokash, N; Laibe, C; Laveille, C; Lestini, G; Mentré, F; Munafo, A; Nordgren, R; Nyberg, H B; Parra-Guillen, Z P; Plan, E; Ribba, B; Smith, G; Trocóniz, I F; Yvon, F; Milligan, P A; Harnisch, L; Karlsson, M; Hermjakob, H; Le Novère, N

2015-06-01

The lack of a common exchange format for mathematical models in pharmacometrics has been a long-standing problem. Such a format has the potential to increase productivity and analysis quality, simplify the handling of complex workflows, ensure reproducibility of research, and facilitate the reuse of existing model resources. Pharmacometrics Markup Language (PharmML), currently under development by the Drug Disease Model Resources (DDMoRe) consortium, is intended to become an exchange standard in pharmacometrics by providing means to encode models, trial designs, and modeling steps.

Syntactic transfer in the initial stages of adult third language and fourth language acquisition

Directory of Open Access Journals (Sweden)

Mahbube Tavakol

2016-01-01

Full Text Available This paper elucidates the articulated proposals for the initial stages of adult third language (L3 syntactic transfer, addressing their application for L3 and the subsequent fourth language (L4 acquisition. The study was set to demonstrate empirical evidence in line with or against the tenets of the models and to indicate if and how syntactic transfer might obtain differently depending on the language being acquired– L3 vs. L4. The models to be tested were Full Transfer/Full Access (FT/FA, L2 Status Factor Hypothesis (LSFH, Cumulative Enhancement Model (CEM and Typological Primacy Model (TPM. Following a principles and parameters framework, six parameters were selected to generate several language pairings and an adult female’s L3 Italian and L4 German’s early spontaneous productions of the selected features were audio-recorded. The accuracy levels with which the features were produced in tandem with the results of error analyses violated the positions of FT/FA as considered for L3/s acquisition and CEM and consistently identified Typological proximity and L2 status as affecting syntactic transfer during the early stages multilingual acquisition.

Natural language generation of surgical procedures.

Science.gov (United States)

Wagner, J C; Rogers, J E; Baud, R H; Scherrer, J R

1999-01-01

A number of compositional Medical Concept Representation systems are being developed. Although these provide for a detailed conceptual representation of the underlying information, they have to be translated back to natural language for used by end-users and applications. The GALEN programme has been developing one such representation and we report here on a tool developed to generate natural language phrases from the GALEN conceptual representations. This tool can be adapted to different source modelling schemes and to different destination languages or sublanguages of a domain. It is based on a multilingual approach to natural language generation, realised through a clean separation of the domain model from the linguistic model and their link by well defined structures. Specific knowledge structures and operations have been developed for bridging between the modelling 'style' of the conceptual representation and natural language. Using the example of the scheme developed for modelling surgical operative procedures within the GALEN-IN-USE project, we show how the generator is adapted to such a scheme. The basic characteristics of the surgical procedures scheme are presented together with the basic principles of the generation tool. Using worked examples, we discuss the transformation operations which change the initial source representation into a form which can more directly be translated to a given natural language. In particular, the linguistic knowledge which has to be introduced--such as definitions of concepts and relationships is described. We explain the overall generator strategy and how particular transformation operations are triggered by language-dependent and conceptual parameters. Results are shown for generated French phrases corresponding to surgical procedures from the urology domain.

The language of mathematics: investigating the ways language counts for children's mathematical development.

Science.gov (United States)

Vukovic, Rose K; Lesaux, Nonie K

2013-06-01

This longitudinal study examined how language ability relates to mathematical development in a linguistically and ethnically diverse sample of children from 6 to 9 years of age. Study participants were 75 native English speakers and 92 language minority learners followed from first to fourth grades. Autoregression in a structural equation modeling (SEM) framework was used to evaluate the relation between children's language ability and gains in different domains of mathematical cognition (i.e., arithmetic, data analysis/probability, algebra, and geometry). The results showed that language ability predicts gains in data analysis/probability and geometry, but not in arithmetic or algebra, after controlling for visual-spatial working memory, reading ability, and sex. The effect of language on gains in mathematical cognition did not differ between language minority learners and native English speakers. These findings suggest that language influences how children make meaning of mathematics but is not involved in complex arithmetical procedures whether presented with Arabic symbols as in arithmetic or with abstract symbols as in algebraic reasoning. The findings further indicate that early language experiences are important for later mathematical development regardless of language background, denoting the need for intensive and targeted language opportunities for language minority and native English learners to develop mathematical concepts and representations. Copyright © 2013. Published by Elsevier Inc.

Integrating Spanish language training across a Doctor of Physical Therapy curriculum: a case report of one program's evolving model.

Science.gov (United States)

Pechak, Celia; Diaz, Deborah; Dillon, Loretta

2014-12-01

As the Hispanic population continues to expand in the United States, health professionals increasingly may encounter people who speak Spanish and have limited English proficiency. Responding to these changes, various health profession educators have incorporated Spanish language training into their curricula. Of 12 doctor of physical therapy (DPT) programs identified as including elective or required Spanish courses, the program at The University of Texas at El Paso is the only one integrating required Spanish language training across the curriculum. The purpose of this case report is to describe the development, implementation, and preliminary outcomes of the evolving educational model at The University of Texas at El Paso. The University of Texas at El Paso is situated immediately across the border from Mexico. Responding to the large population with limited English proficiency in the community, faculty began to integrate required Spanish language training during a transition from a master-level to a DPT curriculum. The Spanish language curriculum pillar includes a Spanish medical terminology course, language learning opportunities threaded throughout the clinical courses, clinical education courses, and service-learning. Forty-five DPT students have completed the curriculum. Assessment methods were limited for early cohorts. Clinically relevant Spanish verbal proficiency was assessed with a practical examination in the Spanish course, a clinical instructor-rated instrument, and student feedback. Preliminary data suggested that the model is improving Spanish language proficiency. The model still is evolving. Spanish language learning opportunities in the curriculum are being expanded. Also, problems with the clinical outcome measure have been recognized. Better definition of intended outcomes and validation of a revised tool are needed. This report should promote opportunities for collaboration with others who are interested in linguistic competence. © 2014

A User-Centered Educational Modeling Language Improving the Controllability of Learning Design Quality

Science.gov (United States)

Zendi, Asma; Bouhadada, Tahar; Bousbia, Nabila

2016-01-01

Semiformal EMLs are developed to facilitate the adoption of educational modeling languages (EMLs) and to address practitioners' learning design concerns, such as reusability and readability. In this article, SDLD (Structure Dialogue Learning Design) is presented, which is a semiformal EML that aims to improve controllability of learning design…

Optimizing DNA assembly based on statistical language modelling.

Science.gov (United States)

Fang, Gang; Zhang, Shemin; Dong, Yafei

2017-12-15

By successively assembling genetic parts such as BioBrick according to grammatical models, complex genetic constructs composed of dozens of functional blocks can be built. However, usually every category of genetic parts includes a few or many parts. With increasing quantity of genetic parts, the process of assembling more than a few sets of these parts can be expensive, time consuming and error prone. At the last step of assembling it is somewhat difficult to decide which part should be selected. Based on statistical language model, which is a probability distribution P(s) over strings S that attempts to reflect how frequently a string S occurs as a sentence, the most commonly used parts will be selected. Then, a dynamic programming algorithm was designed to figure out the solution of maximum probability. The algorithm optimizes the results of a genetic design based on a grammatical model and finds an optimal solution. In this way, redundant operations can be reduced and the time and cost required for conducting biological experiments can be minimized. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

Assessing Children with Language Impairments: A Study on Kannada, a South Indian Language

Directory of Open Access Journals (Sweden)

Srimani Chakravarthi

2012-12-01

Full Text Available Purpose: This is one of the first comprehensive studies to assess receptive and expressive language skills in a South Indian language, Kannada. It demystifies language impairments and provides a model for future research to understand other languages in India and in countries around the world.Method: Language impairments were identified in 68 students of Grades 3 and 4, in elementary schools where Kannada was the medium of instruction. The children were assessed in different language components. The results were analysed in terms of their ages and their levels of functioning in each language component and sub-component.Results: As a group, the subjects showed no significant deficits in phonological and semantic skills; however, individual deficits and deficits within sub-component skills of semantics were noted. Mean and individual deficits in auditory reception, aural comprehension and receptive vocabulary were also noted. Deficits in syntax & verbal expression were notably significant. The extent of language delay increases with age, and plateaus at higher ages.Conclusion: Children with language impairments in Kannada, display many similar characteristics in terms of problems in different components of language. Early intervention is called for because the language delay increases as age advances. A thorough assessment reveals specific strengths and weaknesses in language components and skills. This can be used as a starting point to base remediation activities.doi: 10.5463/dcid.v23i3.134

Execution Model of Three Parallel Languages: OpenMP, UPC and CAF

Directory of Open Access Journals (Sweden)

Ami Marowka

2005-01-01

Full Text Available The aim of this paper is to present a qualitative evaluation of three state-of-the-art parallel languages: OpenMP, Unified Parallel C (UPC and Co-Array Fortran (CAF. OpenMP and UPC are explicit parallel programming languages based on the ANSI standard. CAF is an implicit programming language. On the one hand, OpenMP designs for shared-memory architectures and extends the base-language by using compiler directives that annotate the original source-code. On the other hand, UPC and CAF designs for distribute-shared memory architectures and extends the base-language by new parallel constructs. We deconstruct each language into its basic components, show examples, make a detailed analysis, compare them, and finally draw some conclusions.

Unifying Speech and Language in a Developmentally Sensitive Model of Production.

Science.gov (United States)

Redford, Melissa A

2015-11-01

Speaking is an intentional activity. It is also a complex motor skill; one that exhibits protracted development and the fully automatic character of an overlearned behavior. Together these observations suggest an analogy with skilled behavior in the non-language domain. This analogy is used here to argue for a model of production that is grounded in the activity of speaking and structured during language acquisition. The focus is on the plan that controls the execution of fluent speech; specifically, on the units that are activated during the production of an intonational phrase. These units are schemas: temporally structured sequences of remembered actions and their sensory outcomes. Schemas are activated and inhibited via associated goals, which are linked to specific meanings. Schemas may fuse together over developmental time with repeated use to form larger units, thereby affecting the relative timing of sequential action in participating schemas. In this way, the hierarchical structure of the speech plan and ensuing rhythm patterns of speech are a product of development. Individual schemas may also become differentiated during development, but only if subsequences are associated with meaning. The necessary association of action and meaning gives rise to assumptions about the primacy of certain linguistic forms in the production process. Overall, schema representations connect usage-based theories of language to the action of speaking.

Toward cognitively constrained models of language processing : A review

NARCIS (Netherlands)

Vogelzang, Margreet; Mills, Anne C.; Reitter, David; van Rij, Jacolien; Hendriks, Petra; van Rijn, Hedderik

2017-01-01

Language processing is not an isolated capacity, but is embedded in other aspects of our cognition. However, it is still largely unexplored to what extent and how language processing interacts with general cognitive resources. This question can be investigated with cognitively constrained

Blueprint model and language for engineering cloud applications

OpenAIRE

Nguyen, D.K.

2013-01-01

The research presented in this thesis is positioned within the domain of engineering CSBAs. Its contribution is twofold: (1) a uniform specification language, called the Blueprint Specification Language (BSL), for specifying cloud services across several cloud vendors and (2) a set of associated techniques, called the Blueprint Manipulation Techniques (BMTs), for publishing, querying, and composing cloud service specifications with aim to support the flexible design and configuration of an CSBA.

Cross-Lingual Morphological Tagging for Low-Resource Languages

OpenAIRE

Buys, Jan; Botha, Jan A.

2016-01-01

Morphologically rich languages often lack the annotated linguistic resources required to develop accurate natural language processing tools. We propose models suitable for training morphological taggers with rich tagsets for low-resource languages without using direct supervision. Our approach extends existing approaches of projecting part-of-speech tags across languages, using bitext to infer constraints on the possible tags for a given word type or token. We propose a tagging model using Ws...

Predictors of second language acquisition in Latino children with specific language impairment.

Science.gov (United States)

Gutiérrez-Clellen, Vera; Simon-Cereijido, Gabriela; Sweet, Monica

2012-02-01

This study evaluated the extent to which the language of intervention, the child's development in Spanish, and the effects of English vocabulary, use, proficiency, and exposure predict differences in the rates of acquisition of English in Latino children with specific language impairment (SLI). In this randomized controlled trial, 188 Latino preschoolers with SLI participated in a small-group academic enrichment program for 12 weeks and were followed up 3 and 5 months later. Children were randomly assigned to either a bilingual or an English-only program. Predictors of English growth included measures of Spanish language skills and English vocabulary, use, proficiency, and exposure. Performance on English outcomes (i.e., picture description and narrative sample) was assessed over time. A series of longitudinal models were tested via multilevel modeling with baseline and posttreatment measures nested within child. Children demonstrated growth on the English outcomes over time. The language of intervention, Spanish skills, English vocabulary, and English use significantly predicted differences in rates of growth across children for specific measures of English development. This study underscores the role of the child's first language skills, the child's level of English vocabulary development, and level of English use for predicting differences in English acquisition in Latino preschoolers with SLI. These factors should be carefully considered in making clinical decisions.

Neurally and mathematically motivated architecture for language and thought.

Science.gov (United States)

Perlovsky, L I; Ilin, R

2010-01-01

Neural structures of interaction between thinking and language are unknown. This paper suggests a possible architecture motivated by neural and mathematical considerations. A mathematical requirement of computability imposes significant constraints on possible architectures consistent with brain neural structure and with a wealth of psychological knowledge. How language interacts with cognition. Do we think with words, or is thinking independent from language with words being just labels for decisions? Why is language learned by the age of 5 or 7, but acquisition of knowledge represented by learning to use this language knowledge takes a lifetime? This paper discusses hierarchical aspects of language and thought and argues that high level abstract thinking is impossible without language. We discuss a mathematical technique that can model the joint language-thought architecture, while overcoming previously encountered difficulties of computability. This architecture explains a contradiction between human ability for rational thoughtful decisions and irrationality of human thinking revealed by Tversky and Kahneman; a crucial role in this contradiction might be played by language. The proposed model resolves long-standing issues: how the brain learns correct words-object associations; why animals do not talk and think like people. We propose the role played by language emotionality in its interaction with thought. We relate the mathematical model to Humboldt's "firmness" of languages; and discuss possible influence of language grammar on its emotionality. Psychological and brain imaging experiments related to the proposed model are discussed. Future theoretical and experimental research is outlined.

Mathematical Modeling of Language Games

Science.gov (United States)

Loreto, Vittorio; Baronchelli, Andrea; Puglisi, Andrea

In this chapter we explore several language games of increasing complexity. We first consider the so-called Naming Game, possibly the simplest example of the complex processes leading progressively to the establishment of human-like languages. In this framework, a globally shared vocabulary emerges as a result of local adjustments of individual word-meaning association. The emergence of a common vocabulary only represents a first stage while it is interesting to investigate the emergence of higher forms of agreement, e.g., compositionality, categories, syntactic or grammatical structures. As an example in this direction we consider the so-called Category Game. Here one focuses on the process by which a population of individuals manages to categorize a single perceptually continuous channel. The problem of the emergence of a discrete shared set of categories out of a continuous perceptual channel is a notoriously difficult problem relevant for color categorization, vowels formation, etc. The central result here is the emergence of a hierarchical category structure made of two distinct levels: a basic layer, responsible for fine discrimination of the environment, and a shared linguistic layer that groups together perceptions to guarantee communicative success.

Understanding Cognitive Language Learning Strategies

Directory of Open Access Journals (Sweden)

Sergio Di Carlo

2017-01-01

Full Text Available Over time, definitions and taxonomies of language learning strategies have been critically examined. This article defines and classifies cognitive language learning strategies on a more grounded basis. Language learning is a macro-process for which the general hypotheses of information processing are valid. Cognitive strategies are represented by the pillars underlying the encoding, storage and retrieval of information. In order to understand the processes taking place on these three dimensions, a functional model was elaborated from multiple theoretical contributions and previous models: the Smart Processing Model. This model operates with linguistic inputs as well as with any other kind of information. It helps to illustrate the stages, relations, modules and processes that occur during the flow of information. This theoretical advance is a core element to classify cognitive strategies. Contributions from cognitive neuroscience have also been considered to establish the proposed classification which consists of five categories. Each of these categories has a different predominant function: classification, preparation, association, elaboration and transfer-practice. This better founded taxonomy opens the doors to potential studies that would allow a better understanding of the interdisciplinary complexity of language learning. Pedagogical and methodological implications are also discussed.

Multilingual natural language generation as part of a medical terminology server.

Science.gov (United States)

Wagner, J C; Solomon, W D; Michel, P A; Juge, C; Baud, R H; Rector, A L; Scherrer, J R

1995-01-01

Re-usable and sharable, and therefore language-independent concept models are of increasing importance in the medical domain. The GALEN project (Generalized Architecture for Languages Encyclopedias and Nomenclatures in Medicine) aims at developing language-independent concept representation systems as the foundations for the next generation of multilingual coding systems. For use within clinical applications, the content of the model has to be mapped to natural language. A so-called Multilingual Information Module (MM) establishes the link between the language-independent concept model and different natural languages. This text generation software must be versatile enough to cope at the same time with different languages and with different parts of a compositional model. It has to meet, on the one hand, the properties of the language as used in the medical domain and, on the other hand, the specific characteristics of the underlying model and its representation formalism. We propose a semantic-oriented approach to natural language generation that is based on linguistic annotations to a concept model. This approach is realized as an integral part of a Terminology Server, built around the concept model and offering different terminological services for clinical applications.

Integrating Music Therapy Services and Speech-Language Therapy Services for Children with Severe Communication Impairments: A Co-Treatment Model

Science.gov (United States)

Geist, Kamile; McCarthy, John; Rodgers-Smith, Amy; Porter, Jessica

2008-01-01

Documenting how music therapy can be integrated with speech-language therapy services for children with communication delay is not evident in the literature. In this article, a collaborative model with procedures, experiences, and communication outcomes of integrating music therapy with the existing speech-language services is given. Using…

Language variety, language hierarchy, and language choice in the international university

DEFF Research Database (Denmark)

Haberland, Hartmut; Mortensen, Janus

2012-01-01

Introduction to thematic issue on Language variety, language hierarchy, and language choice in the international university......Introduction to thematic issue on Language variety, language hierarchy, and language choice in the international university...

Pragmatic Language Assessment: A Pragmatics-as-Social Practice Model

Science.gov (United States)

Hyter, Yvette D.

2007-01-01

Pragmatic language skills are important for developing relationships with others, and for communicating with a range of interlocutors in a variety of contexts, including preschool and elementary school classrooms. Pragmatic language difficulties frequently are a primary area of disability for children diagnosed with autism, Asperger's syndrome,…

F-Nets and Software Cabling: Deriving a Formal Model and Language for Portable Parallel Programming

Science.gov (United States)

DiNucci, David C.; Saini, Subhash (Technical Monitor)

1998-01-01

Parallel programming is still being based upon antiquated sequence-based definitions of the terms "algorithm" and "computation", resulting in programs which are architecture dependent and difficult to design and analyze. By focusing on obstacles inherent in existing practice, a more portable model is derived here, which is then formalized into a model called Soviets which utilizes a combination of imperative and functional styles. This formalization suggests more general notions of algorithm and computation, as well as insights into the meaning of structured programming in a parallel setting. To illustrate how these principles can be applied, a very-high-level graphical architecture-independent parallel language, called Software Cabling, is described, with many of the features normally expected from today's computer languages (e.g. data abstraction, data parallelism, and object-based programming constructs).

Sensor Management for Applied Research Technologies (SMART)-On Demand Modeling (ODM) Project

Science.gov (United States)

Goodman, M.; Blakeslee, R.; Hood, R.; Jedlovec, G.; Botts, M.; Li, X.

2006-01-01

NASA requires timely on-demand data and analysis capabilities to enable practical benefits of Earth science observations. However, a significant challenge exists in accessing and integrating data from multiple sensors or platforms to address Earth science problems because of the large data volumes, varying sensor scan characteristics, unique orbital coverage, and the steep learning curve associated with each sensor and data type. The development of sensor web capabilities to autonomously process these data streams (whether real-time or archived) provides an opportunity to overcome these obstacles and facilitate the integration and synthesis of Earth science data and weather model output. A three year project, entitled Sensor Management for Applied Research Technologies (SMART) - On Demand Modeling (ODM), will develop and demonstrate the readiness of Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) capabilities that integrate both Earth observations and forecast model output into new data acquisition and assimilation strategies. The advancement of SWE-enabled systems (i.e., use of SensorML, sensor planning services - SPS, sensor observation services - SOS, sensor alert services - SAS and common observation model protocols) will have practical and efficient uses in the Earth science community for enhanced data set generation, real-time data assimilation with operational applications, and for autonomous sensor tasking for unique data collection.

Systems Biology Markup Language (SBML) Level 2 Version 5: Structures and Facilities for Model Definitions.

Science.gov (United States)

Hucka, Michael; Bergmann, Frank T; Dräger, Andreas; Hoops, Stefan; Keating, Sarah M; Le Novère, Nicolas; Myers, Chris J; Olivier, Brett G; Sahle, Sven; Schaff, James C; Smith, Lucian P; Waltemath, Dagmar; Wilkinson, Darren J

2015-09-04

Computational models can help researchers to interpret data, understand biological function, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in a declarative form that can be exchanged between different software systems. SBML is oriented towards describing biological processes of the sort common in research on a number of topics, including metabolic pathways, cell signaling pathways, and many others. By supporting SBML as an input/output format, different tools can all operate on an identical representation of a model, removing opportunities for translation errors and assuring a common starting point for analyses and simulations. This document provides the specification for Version 5 of SBML Level 2. The specification defines the data structures prescribed by SBML as well as their encoding in XML, the eXtensible Markup Language. This specification also defines validation rules that determine the validity of an SBML document, and provides many examples of models in SBML form. Other materials and software are available from the SBML project web site, http://sbml.org.

Systems Biology Markup Language (SBML Level 2 Version 5: Structures and Facilities for Model Definitions

Directory of Open Access Journals (Sweden)

Hucka Michael

2015-06-01

Full Text Available Computational models can help researchers to interpret data, understand biological function, and make quantitative predictions. The Systems Biology Markup Language (SBML is a file format for representing computational models in a declarative form that can be exchanged between different software systems. SBML is oriented towards describing biological processes of the sort common in research on a number of topics, including metabolic pathways, cell signaling pathways, and many others. By supporting SBML as an input/output format, different tools can all operate on an identical representation of a model, removing opportunities for translation errors and assuring a common starting point for analyses and simulations. This document provides the specification for Version 5 of SBML Level 2. The specification defines the data structures prescribed by SBML as well as their encoding in XML, the eXtensible Markup Language. This specification also defines validation rules that determine the validity of an SBML document, and provides many examples of models in SBML form. Other materials and software are available from the SBML project web site, http://sbml.org/.

SBMLeditor: effective creation of models in the Systems Biology Markup language (SBML).

Science.gov (United States)

Rodriguez, Nicolas; Donizelli, Marco; Le Novère, Nicolas

2007-03-06

The need to build a tool to facilitate the quick creation and editing of models encoded in the Systems Biology Markup language (SBML) has been growing with the number of users and the increased complexity of the language. SBMLeditor tries to answer this need by providing a very simple, low level editor of SBML files. Users can create and remove all the necessary bits and pieces of SBML in a controlled way, that maintains the validity of the final SBML file. SBMLeditor is written in JAVA using JCompneur, a library providing interfaces to easily display an XML document as a tree. This decreases dramatically the development time for a new XML editor. The possibility to include custom dialogs for different tags allows a lot of freedom for the editing and validation of the document. In addition to Xerces, SBMLeditor uses libSBML to check the validity and consistency of SBML files. A graphical equation editor allows an easy manipulation of MathML. SBMLeditor can be used as a module of the Systems Biology Workbench. SBMLeditor contains many improvements compared to a generic XML editor, and allow users to create an SBML model quickly and without syntactic errors.

Using Hierarchical Linear Modelling to Examine Factors Predicting English Language Students' Reading Achievement

Science.gov (United States)

Fung, Karen; ElAtia, Samira

2015-01-01

Using Hierarchical Linear Modelling (HLM), this study aimed to identify factors such as ESL/ELL/EAL status that would predict students' reading performance in an English language arts exam taken across Canada. Using data from the 2007 administration of the Pan-Canadian Assessment Program (PCAP) along with the accompanying surveys for students and…

English Teachers' Language Awareness: Away with the Monolingual Bias?

Science.gov (United States)

Otwinowska, Agnieszka

2017-01-01

The training of language teachers still follows traditional models of teachers' competences and awareness, focusing solely on the target language. Such models are incompatible with multilingual pedagogy, whereby languages are not taught in isolation, and learners' background languages are activated to enhance the process. When teaching…

Modeling language and cognition with deep unsupervised learning: a tutorial overview.

Science.gov (United States)

Zorzi, Marco; Testolin, Alberto; Stoianov, Ivilin P

2013-01-01

Deep unsupervised learning in stochastic recurrent neural networks with many layers of hidden units is a recent breakthrough in neural computation research. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical generative model. In this article we discuss the theoretical foundations of this approach and we review key issues related to training, testing and analysis of deep networks for modeling language and cognitive processing. The classic letter and word perception problem of McClelland and Rumelhart (1981) is used as a tutorial example to illustrate how structured and abstract representations may emerge from deep generative learning. We argue that the focus on deep architectures and generative (rather than discriminative) learning represents a crucial step forward for the connectionist modeling enterprise, because it offers a more plausible model of cortical learning as well as a way to bridge the gap between emergentist connectionist models and structured Bayesian models of cognition.

Modeling Language and Cognition with Deep Unsupervised Learning:A Tutorial Overview

Directory of Open Access Journals (Sweden)

Marco eZorzi

2013-08-01

Full Text Available Deep unsupervised learning in stochastic recurrent neural networks with many layers of hidden units is a recent breakthrough in neural computation research. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical generative model. In this article we discuss the theoretical foundations of this approach and we review key issues related to training, testing and analysis of deep networks for modeling language and cognitive processing. The classic letter and word perception problem of McClelland and Rumelhart (1981 is used as a tutorial example to illustrate how structured and abstract representations may emerge from deep generative learning. We argue that the focus on deep architectures and generative (rather than discriminative learning represents a crucial step forward for the connectionist modeling enterprise, because it offers a more plausible model of cortical learning as well as way to bridge the gap between emergentist connectionist models and structured Bayesian models of cognition.

Modeling language and cognition with deep unsupervised learning: a tutorial overview

Science.gov (United States)

Zorzi, Marco; Testolin, Alberto; Stoianov, Ivilin P.

2013-01-01

Deep unsupervised learning in stochastic recurrent neural networks with many layers of hidden units is a recent breakthrough in neural computation research. These networks build a hierarchy of progressively more complex distributed representations of the sensory data by fitting a hierarchical generative model. In this article we discuss the theoretical foundations of this approach and we review key issues related to training, testing and analysis of deep networks for modeling language and cognitive processing. The classic letter and word perception problem of McClelland and Rumelhart (1981) is used as a tutorial example to illustrate how structured and abstract representations may emerge from deep generative learning. We argue that the focus on deep architectures and generative (rather than discriminative) learning represents a crucial step forward for the connectionist modeling enterprise, because it offers a more plausible model of cortical learning as well as a way to bridge the gap between emergentist connectionist models and structured Bayesian models of cognition. PMID:23970869

LSTM, GRU, Highway and a Bit of Attention: An Empirical Overview for Language Modeling in Speech Recognition

Science.gov (United States)

2016-09-12

R. K. Srivastava, K. Greff, and J. Schmidhuber, “Training very deep networks,” in Advances in Neural Information Processing Systems (NIPS), Montreal...modeling,” in Deep Learning workshop at Conf. on Advances in Neural Infor- mation Processing Systems (NIPS), Montreal, Canada, Dec. 2014. [19] R...Language Processing (EMNLP), Lisbon, Portugal, Sep. 2015, pp. 1412–1421. [38] K. Tran, A. Bisazza, and C. Monz, “Recurrent memory network for language

Representing Information in Patient Reports Using Natural Language Processing and the Extensible Markup Language

Science.gov (United States)

Friedman, Carol; Hripcsak, George; Shagina, Lyuda; Liu, Hongfang

1999-01-01

Objective: To design a document model that provides reliable and efficient access to clinical information in patient reports for a broad range of clinical applications, and to implement an automated method using natural language processing that maps textual reports to a form consistent with the model. Methods: A document model that encodes structured clinical information in patient reports while retaining the original contents was designed using the extensible markup language (XML), and a document type definition (DTD) was created. An existing natural language processor (NLP) was modified to generate output consistent with the model. Two hundred reports were processed using the modified NLP system, and the XML output that was generated was validated using an XML validating parser. Results: The modified NLP system successfully processed all 200 reports. The output of one report was invalid, and 199 reports were valid XML forms consistent with the DTD. Conclusions: Natural language processing can be used to automatically create an enriched document that contains a structured component whose elements are linked to portions of the original textual report. This integrated document model provides a representation where documents containing specific information can be accurately and efficiently retrieved by querying the structured components. If manual review of the documents is desired, the salient information in the original reports can also be identified and highlighted. Using an XML model of tagging provides an additional benefit in that software tools that manipulate XML documents are readily available. PMID:9925230

Computational Nonlinear Morphology with Emphasis on Semitic Languages. Studies in Natural Language Processing.

Science.gov (United States)

Kiraz, George Anton

This book presents a tractable computational model that can cope with complex morphological operations, especially in Semitic languages, and less complex morphological systems present in Western languages. It outlines a new generalized regular rewrite rule system that uses multiple finite-state automata to cater to root-and-pattern morphology,…

Production Logistics Simulation Supported by Process Description Languages

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Bohács Gábor

2016-03-01

Full Text Available The process description languages are used in the business may be useful in the optimization of logistics processes too. The process description languages would be the obvious solution for process control, to handle the main sources of faults and to give a correct list of what to do during the logistics process. Related to this, firstly, the paper presents the main features of the frequent process description languages. The following section describes the currently most used process modelling languages, in the areas of production and construction logistics. In addition, the paper gives some examples of logistics simulation, as another very important field of logistics system modelling. The main edification of the paper, the logistics simulation supported by process description languages. The paper gives a comparison of a Petri net formal representation and a Simul8 model, through a construction logistics model, as the major contribution of the research.

Parallel object-oriented specification language

NARCIS (Netherlands)

Florescu, O.; Voeten, J.P.M.; Theelen, B.D.; Geilen, M.C.W.; Corporaal, H.; Burns, Alan

2008-01-01

The Parallel Object-Oriented Specification Language (POOSL) is an expressive modelling language for hardware/software systems [10]. It was originally defined in [7] as an object-oriented extension of process algebra CCS [6], supporting (conditional) synchronous message passing between

Multi-disciplinary System Engineering and the Compatibility Modeling Language (UCML

Directory of Open Access Journals (Sweden)

Carolin Eckl

2009-04-01

Full Text Available Over time, technical systems such as automobiles or spacecraft have grown more complex due to the incorporation of increasingly more and different components. The integration of these components, which are frequently designed and constructed within separate departments and companies may lead to malfunctioning systems as their interplay cannot be tested within the earlier phases of development. This paper introduces compatibility management as one solution to the problems of late component integration. Compatibility management is carried out on a common crossdomain model of the system and therefore allows to test compatibility early on. We show how compatibility management can be embedded into the phased development of ECSS-M-30A and present the (Unified Compatibility Modeling Language ((UCML, which is used for the underlying cross-domain model. A case study demonstrates the application of (UCML in the development of a small satellite and explains different degrees of compatibility.

UML as a cell and biochemistry modeling language.

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Webb, Ken; White, Tony

2005-06-01

The systems biology community is building increasingly complex models and simulations of cells and other biological entities, and are beginning to look at alternatives to traditional representations such as those provided by ordinary differential equations (ODE). The lessons learned over the years by the software development community in designing and building increasingly complex telecommunication and other commercial real-time reactive systems, can be advantageously applied to the problems of modeling in the biology domain. Making use of the object-oriented (OO) paradigm, the unified modeling language (UML) and Real-Time Object-Oriented Modeling (ROOM) visual formalisms, and the Rational Rose RealTime (RRT) visual modeling tool, we describe a multi-step process we have used to construct top-down models of cells and cell aggregates. The simple example model described in this paper includes membranes with lipid bilayers, multiple compartments including a variable number of mitochondria, substrate molecules, enzymes with reaction rules, and metabolic pathways. We demonstrate the relevance of abstraction, reuse, objects, classes, component and inheritance hierarchies, multiplicity, visual modeling, and other current software development best practices. We show how it is possible to start with a direct diagrammatic representation of a biological structure such as a cell, using terminology familiar to biologists, and by following a process of gradually adding more and more detail, arrive at a system with structure and behavior of arbitrary complexity that can run and be observed on a computer. We discuss our CellAK (Cell Assembly Kit) approach in terms of features found in SBML, CellML, E-CELL, Gepasi, Jarnac, StochSim, Virtual Cell, and membrane computing systems.

Visual Structure Language; TOPICAL

International Nuclear Information System (INIS)

CAMPBELL, PHILIP L.; ESPINOZA, JUAN

2001-01-01

In this paper we describe a new language, Visual Structure Language (VSL), designed to describe the structure of a program and explain its pieces. This new language is built on top of a general-purpose language, such as C. The language consists of three extensions: explanations, nesting, and arcs. Explanations are comments explicitly associated with code segments. These explanations can be nested. And arcs can be inserted between explanations to show data- or control-flow. The value of VSL is that it enables a developer to better control a code. The developer can represent the structure via nested explanations, using arcs to indicate the flow of data and control. The explanations provide a ''second opinion'' about the code so that at any level, the developer can confirm that the code operates as it is intended to do. We believe that VSL enables a programmer to use in a computer language the same model-a hierarchy of components-that they use in their heads when they conceptualize systems

Creating Shared Mental Models: The Support of Visual Language

Science.gov (United States)

Landman, Renske B.; van den Broek, Egon L.; Gieskes, José F. B.

Cooperative design involves multiple stakeholders that often hold different ideas of the problem, the ways to solve it, and to its solutions (i.e., mental models; MM). These differences can result in miscommunication, misunderstanding, slower decision making processes, and less chance on cooperative decisions. In order to facilitate the creation of a shared mental model (sMM), visual languages (VL) are often used. However, little scientific foundation is behind this choice. To determine whether or not this gut feeling is justified, a research was conducted in which various stakeholders had to cooperatively redesign a process chain, with and without VL. To determine whether or not a sMM was created, scores on agreement in individual MM, communication, and cooperation were analyzed. The results confirmed the assumption that VL can indeed play an important role in the creation of sMM and, hence, can aid the processes of cooperative design and engineering.

Educational Modelling Language and Learning Design: new challenges for instructional re-usability and personalized learning

NARCIS (Netherlands)

Hummel, Hans; Manderveld, Jocelyn; Tattersall, Colin; Koper, Rob

2003-01-01

Published: Hummel, H. G. K., Manderveld, J. M., Tattersall, C.,& Koper, E. J. R. (2004). Educational Modelling Language: new challenges for instructional re-usability and personalized learning. International Journal of Learning Technology, 1, 1, 110-111.

Comparison of L-system applications towards plant modelling, music rendering and score generation using visual language programming

Science.gov (United States)

Lim, Chen Kim; Tan, Kian Lam; Yusran, Hazwanni; Suppramaniam, Vicknesh

2017-10-01

Visual language or visual representation has been used in the past few years in order to express the knowledge in graphic. One of the important graphical elements is fractal and L-Systems is a mathematic-based grammatical model for modelling cell development and plant topology. From the plant model, L-Systems can be interpreted as music sound and score. In this paper, LSound which is a Visual Language Programming (VLP) framework has been developed to model plant to music sound and generate music score and vice versa. The objectives of this research has three folds: (i) To expand the grammar dictionary of L-Systems music based on visual programming, (ii) To design and produce a user-friendly and icon based visual language framework typically for L-Systems musical score generation which helps the basic learners in musical field and (iii) To generate music score from plant models and vice versa using L-Systems method. This research undergoes a four phases methodology where the plant is first modelled, then the music is interpreted, followed by the output of music sound through MIDI and finally score is generated. LSound is technically compared to other existing applications in the aspects of the capability of modelling the plant, rendering the music and generating the sound. It has been found that LSound is a flexible framework in which the plant can be easily altered through arrow-based programming and the music score can be altered through the music symbols and notes. This work encourages non-experts to understand L-Systems and music hand-in-hand.

The Use of a Block Diagram Simulation Language for Rapid Model Prototyping

Science.gov (United States)

Whitlow, Johnathan E.; Engrand, Peter

1996-01-01

The research performed this summer was a continuation of work performed during the 1995 NASA/ASEE Summer Fellowship. The focus of the work was to expand previously generated predictive models for liquid oxygen (LOX) loading into the external fuel tank of the shuttle. The models which were developed using a block diagram simulation language known as VisSim, were evaluated on numerous shuttle flights and found to well in most cases. Once the models were refined and validated, the predictive methods were integrated into the existing Rockwell software propulsion advisory tool (PAT). Although time was not sufficient to completely integrate the models developed into PAT, the ability to predict flows and pressures in the orbiter section and graphically display the results was accomplished.

A Methodology For The Development Of Complex Domain Specific Languages

CERN Document Server

Risoldi, Matteo; Falquet, Gilles

2010-01-01

The term Domain-Specific Modeling Language is used in software development to indicate a modeling (and sometimes programming) language dedicated to a particular problem domain, a particular problem representation technique and/or a particular solution technique. The concept is not new -- special-purpose programming language and all kinds of modeling/specification languages have always existed, but the term DSML has become more popular due to the rise of domain-specific modeling. Domain-specific languages are considered 4GL programming languages. Domain-specific modeling techniques have been adopted for a number of years now. However, the techniques and frameworks used still suffer from problems of complexity of use and fragmentation. Although in recent times some integrated environments are seeing the light, it is not common to see many concrete use cases in which domain-specific modeling has been put to use. The main goal of this thesis is tackling the domain of interactive systems and applying a DSML-based...

Linearity in Process Languages

DEFF Research Database (Denmark)

Nygaard, Mikkel; Winskel, Glynn

2002-01-01

The meaning and mathematical consequences of linearity (managing without a presumed ability to copy) are studied for a path-based model of processes which is also a model of affine-linear logic. This connection yields an affine-linear language for processes, automatically respecting open......-map bisimulation, in which a range of process operations can be expressed. An operational semantics is provided for the tensor fragment of the language. Different ways to make assemblies of processes lead to different choices of exponential, some of which respect bisimulation....

On national flags and language tags: Effects of flag-language congruency in bilingual word recognition.

Science.gov (United States)

Grainger, Jonathan; Declerck, Mathieu; Marzouki, Yousri

2017-07-01

French-English bilinguals performed a generalized lexical decision experiment with mixed lists of French and English words and pseudo-words. In Experiment 1, each word/pseudo-word was superimposed on the picture of the French or UK flag, and flag-word congruency was manipulated. The flag was not informative with respect to either the lexical decision response or the language of the word. Nevertheless, lexical decisions to word stimuli were faster following the congruent flag compared with the incongruent flag, but only for French (L1) words. Experiment 2 replicated this flag-language congruency effect in a priming paradigm, where the word and pseudo-word targets followed the brief presentation of the flag prime, and this time effects were seen in both languages. We take these findings as evidence for a mechanism that automatically processes linguistic and non-linguistic information concerning the presence or not of a given language. Language membership information can then modulate lexical processing, in line with the architecture of the BIA model, but not the BIA+ model. Copyright © 2017 Elsevier B.V. All rights reserved.

Extricating Manual and Non-Manual Features for Subunit Level Medical Sign Modelling in Automatic Sign Language Classification and Recognition.

Science.gov (United States)

R, Elakkiya; K, Selvamani

2017-09-22

Subunit segmenting and modelling in medical sign language is one of the important studies in linguistic-oriented and vision-based Sign Language Recognition (SLR). Many efforts were made in the precedent to focus the functional subunits from the view of linguistic syllables but the problem is implementing such subunit extraction using syllables is not feasible in real-world computer vision techniques. And also, the present recognition systems are designed in such a way that it can detect the signer dependent actions under restricted and laboratory conditions. This research paper aims at solving these two important issues (1) Subunit extraction and (2) Signer independent action on visual sign language recognition. Subunit extraction involved in the sequential and parallel breakdown of sign gestures without any prior knowledge on syllables and number of subunits. A novel Bayesian Parallel Hidden Markov Model (BPaHMM) is introduced for subunit extraction to combine the features of manual and non-manual parameters to yield better results in classification and recognition of signs. Signer independent action aims in using a single web camera for different signer behaviour patterns and for cross-signer validation. Experimental results have proved that the proposed signer independent subunit level modelling for sign language classification and recognition has shown improvement and variations when compared with other existing works.

A Model of Motivation for Extensive Reading in Japanese as a Foreign Language

Science.gov (United States)

de Burgh-Hirabe, Ryoko; Feryok, Ann

2013-01-01

Numerous studies have reported that extensive reading (ER) has a positive influence on affect. Recent studies suggest that motivation for ER changes. This is in line with recent developments in second language (L2) motivation research that have highlighted the complex and dynamic nature of L2 motivation. This study presents a model of complex and…

Selected translated abstracts of Russian-language climate-change publications. 4: General circulation models

Energy Technology Data Exchange (ETDEWEB)

Burtis, M.D. [comp.] [Oak Ridge National Lab., TN (United States). Carbon Dioxide Information Analysis Center; Razuvaev, V.N.; Sivachok, S.G. [All-Russian Research Inst. of Hydrometeorological Information--World Data Center, Obninsk (Russian Federation)

1996-10-01

This report presents English-translated abstracts of important Russian-language literature concerning general circulation models as they relate to climate change. Into addition to the bibliographic citations and abstracts translated into English, this report presents the original citations and abstracts in Russian. Author and title indexes are included to assist the reader in locating abstracts of particular interest.

Can rational models be good accounts of developmental change? The case of language development at two time scales.

Science.gov (United States)

Dawson, Colin R; Gerken, LouAnn

2012-01-01

Rational models of human perception and cognition have allowed researchers new ways to look at learning and the ability to make inferences from data. But how good are such models at accounting for developmental change? In this chapter, we address this question in the domain of language development, focusing on the speed with which developmental change takes place, and classifying different types of language development as either fast or slow. From the pattern of fast and slow development observed, we hypothesize that rational learning processes are generally well suited for handling fast processes over small amounts of input data. In contrast, we suggest that associative learning processes are generally better suited to slow development, in which learners accumulate information about what is typical of their language over time. Finally, although one system may be dominant for a particular component of language learning, we speculate that both systems frequently interact, with the associative system providing a source of emergent hypotheses to be evaluated by the rational system and the rational system serving to highlight which aspects of the learner's input need to be processed in greater depth by the associative system.

Testing framework for embedded languages

Science.gov (United States)

Leskó, Dániel; Tejfel, Máté

2012-09-01

Embedding a new programming language into an existing one is a widely used technique, because it fastens the development process and gives a part of a language infrastructure for free (e.g. lexical, syntactical analyzers). In this paper we are presenting a new advantage of this development approach regarding to adding testing support for these new languages. Tool support for testing is a crucial point for a newly designed programming language. It could be done in the hard way by creating a testing tool from scratch, or we could try to reuse existing testing tools by extending them with an interface to our new language. The second approach requires less work, and also it fits very well for the embedded approach. The problem is that the creation of such interfaces is not straightforward at all, because the existing testing tools were mostly not designed to be extendable and to be able to deal with new languages. This paper presents an extendable and modular model of a testing framework, in which the most basic design decision was to keep the - previously mentioned - interface creation simple and straightforward. Other important aspects of our model are the test data generation, the oracle problem and the customizability of the whole testing phase.

Predicting language diversity with complex networks

Science.gov (United States)

Gubiec, Tomasz

2018-01-01

We analyze the model of social interactions with coevolution of the topology and states of the nodes. This model can be interpreted as a model of language change. We propose different rewiring mechanisms and perform numerical simulations for each. Obtained results are compared with the empirical data gathered from two online databases and anthropological study of Solomon Islands. We study the behavior of the number of languages for different system sizes and we find that only local rewiring, i.e. triadic closure, is capable of reproducing results for the empirical data in a qualitative manner. Furthermore, we cancel the contradiction between previous models and the Solomon Islands case. Our results demonstrate the importance of the topology of the network, and the rewiring mechanism in the process of language change. PMID:29702699

Past Tense Production by English Second Language Learners with and without Language Impairment

Science.gov (United States)

Blom, Elma; Paradis, Johanne

2013-01-01

Purpose: This study investigated whether past tense use could differentiate children with language impairment (LI) from their typically developing (TD) peers when English is children's second language (L2) and whether L2 children's past tense profiles followed the predictions of Bybee's (2007) usage-based network model. Method: A group of L2…

The Dynamics of Language Learning Attitudes and Motivation: Lessons from an Interview Study of Dyslexic Language Learners

Science.gov (United States)

Csizer, Kata; Kormos, Judit; Sarkadi, Agnes

2010-01-01

The aim of our study was to provide an insider's account of the dynamics of language learning motivation in Hungarian students with dyslexia. For this purpose, we conducted qualitative interviews with 15 students who studied foreign languages in a variety of educational settings. In this article, we drew up a dynamic model of language learning…

Laying down Pale Memories: Learners Reflecting on Language, Self, and Other in the Middle-School Drama-Languages Classroom

Science.gov (United States)

Rothwell, Julia

2015-01-01

This article explores one teacher/researcher's development of a drama-language unit and the learners' responses to it. The work is underpinned by a model of intercultural language learning which also acknowledges the pluricultural and plurilingual contexts in which foreign languages are taught in Australia. As part of a…

Fast N-Gram Language Model Look-Ahead for Decoders With Static Pronunciation Prefix Trees

NARCIS (Netherlands)

Huijbregts, M.A.H.; Ordelman, Roeland J.F.; de Jong, Franciska M.G.

2008-01-01

Decoders that make use of token-passing restrict their search space by various types of token pruning. With use of the Language Model Look-Ahead (LMLA) technique it is possible to increase the number of tokens that can be pruned without loss of decoding precision. Unfortunately, for token passing

A Development English Language Learning Management Strategies Model to Enhance Communicative Competence for High School Students

Directory of Open Access Journals (Sweden)

Thitiya Ruennakarn

2017-09-01

Full Text Available The objectives for this research are to 1 build a development English language learning management strategies model to enhance communicative competence for high school students 2 study the results of using the model. A target group is seven English teachers in Pibulwittayalai School and the sample for studying the results of model to students are ten English club students in Pibulwittayalai School.The research tools are focus group discussion forms, communication plans, English skills evaluation forms, communicative competence test, communicative competence evaluation forms and 21st century skills evaluation forms. This model is examined by connoisseurship.The statistics for analyzing data are frequency, percentage, mean, standard deviation and Wilcoxon test. The results of the research were as follows: 1. The development English language learning management strategies model to enhance communicative competence for high school students had4components ; 1 SWOT–Analysis, 2 strategy development, 3 strategy assessment and 4 strategy adjustment.This model had 6 strategies such as 1 genius academic strategy 2 English through AEC 3 English through World Class 4 enhancing for genius academic in communication with foreigners 5 enhancing English through world class standard and 6 enhancing for potential in English skills learning through world class standard. These were merged as only one strategy as “ Development of students’ potential for communication”. 2. The results of using the model comprised of 2.1 The results to teachers were teachers could analyze SWOT- analysis for determining strength, weakness,opportunity and threat about English language learning management, received guideline and could appropriately and efficiently construct strategies of English language learning management to enhance communicative competence. 2.2 The results to students: The students had 4 English skills, such as listening,speaking, reading and writing. It was

TexMo: A Multi-language Development Environment

DEFF Research Database (Denmark)

Pfeiffer, Rolf-Helge; Wasowski, Andrzej

2012-01-01

Contemporary software systems contain a large number of artifacts expressed in multiple languages, ranging from domain-specific languages to general purpose languages. These artifacts are interrelated to form software systems. Existing development environments insufficiently support handling...... relations between artifacts in multiple languages. This paper presents a taxonomy for multi-language development environments, organized according to language representation, representation of relations between languages, and types of these relations. Additionally, we present TexMo, a prototype of a multi-language...... development environment, which uses an explicit relation model and implements visualization, static checking, navigation, and refactoring of cross-language relations. We evaluate TexMo by applying it to development of a web-application, JTrac, and provide preliminary evidence of its feasibility by running...

ENEKuS--A Key Model for Managing the Transformation of the Normalisation of the Basque Language in the Workplace

Science.gov (United States)

Marko, Inazio; Pikabea, Inaki

2013-01-01

The aim of this study is to develop a reference model for intervention in the language processes applied to the transformation of language normalisation within organisations of a socio-economic nature. It is based on a case study of an experiment carried out over 10 years within a trade union confederation, and has pursued a strategy of a…

Flexibility in embodied language understanding.

Science.gov (United States)

Willems, Roel M; Casasanto, Daniel

2011-01-01

Do people use sensori-motor cortices to understand language? Here we review neurocognitive studies of language comprehension in healthy adults and evaluate their possible contributions to theories of language in the brain. We start by sketching the minimal predictions that an embodied theory of language understanding makes for empirical research, and then survey studies that have been offered as evidence for embodied semantic representations. We explore four debated issues: first, does activation of sensori-motor cortices during action language understanding imply that action semantics relies on mirror neurons? Second, what is the evidence that activity in sensori-motor cortices plays a functional role in understanding language? Third, to what extent do responses in perceptual and motor areas depend on the linguistic and extra-linguistic context? And finally, can embodied theories accommodate language about abstract concepts? Based on the available evidence, we conclude that sensori-motor cortices are activated during a variety of language comprehension tasks, for both concrete and abstract language. Yet, this activity depends on the context in which perception and action words are encountered. Although modality-specific cortical activity is not a sine qua non of language processing even for language about perception and action, sensori-motor regions of the brain appear to make functional contributions to the construction of meaning, and should therefore be incorporated into models of the neurocognitive architecture of language.

Flexibility in embodied language understanding

Directory of Open Access Journals (Sweden)

Roel M Willems

2011-06-01

Full Text Available Do people use sensori-motor cortices to understand language? Here we review neurocognitive studies of language comprehension in healthy adults and evaluate their possible contributions to theories of language in the brain. We start by sketching the minimal predictions that an embodied theory of language understanding makes for empirical research, and then survey studies that have been offered as evidence for embodied semantic representations. We explore four debated issues: first, does activation of sensori-motor cortices during action language understanding imply that action semantics relies on mirror neurons? Second, what is the evidence that activity in sensori-motor cortices plays a functional role in understanding language? Third, to what extent do responses in perceptual and motor areas depend on the linguistic and extra-linguistic context? And finally, can embodied theories accommodate language about abstract concepts? Based on the available evidence, we conclude that sensori-motor cortices are activated during a variety of language comprehension tasks, for both concrete and abstract language. Yet, this activity depends on the context in which perception and action words are encountered. Although modality-specific cortical activity is not a sine qua non of language processing even for language about perception and action, sensori-motor regions of the brain appear to make functional contributions to the construction of meaning, and should therefore be incorporated into models of the neurocognitive architecture of language.

Computer Language For Optimization Of Design

Science.gov (United States)

Scotti, Stephen J.; Lucas, Stephen H.

1991-01-01

SOL is computer language geared to solution of design problems. Includes mathematical modeling and logical capabilities of computer language like FORTRAN; also includes additional power of nonlinear mathematical programming methods at language level. SOL compiler takes SOL-language statements and generates equivalent FORTRAN code and system calls. Provides syntactic and semantic checking for recovery from errors and provides detailed reports containing cross-references to show where each variable used. Implemented on VAX/VMS computer systems. Requires VAX FORTRAN compiler to produce executable program.

An evaluation of So language vitality in Thailand

Directory of Open Access Journals (Sweden)

Thomas M. Tehan

2017-07-01

Full Text Available This paper explores the vitality and endangerment of So [sss] speech communities in Thailand. Beginning with a review of sociolinguistic survey results for five So communities in Thailand to ascertain the likely need for vernacular language development in So, additional data to cover the rest of the So community are provided. The language vitality of the So communities in Thailand is then assessed using Expanded GIDS and the Sustainable Use Model (SUM, Lewis & Simons 20152, an expansion of the Graded Intergenerational Disruption Scale (GIDS, Fishman 1991. This vitality model indicates that many So villages display vigorous language vitality whereas other villages are threatened by language shift. Some initial efforts at revitalization and language development show promise. Several additional activities are suggested to enhance the vitality of the language and help the So to resist the regional trend towards language shift to Northeastern Thai (Isaan.

Language and emotions: emotional Sapir-Whorf hypothesis.

Science.gov (United States)

Perlovsky, Leonid

2009-01-01

An emotional version of Sapir-Whorf hypothesis suggests that differences in language emotionalities influence differences among cultures no less than conceptual differences. Conceptual contents of languages and cultures to significant extent are determined by words and their semantic differences; these could be borrowed among languages and exchanged among cultures. Emotional differences, as suggested in the paper, are related to grammar and mostly cannot be borrowed. The paper considers conceptual and emotional mechanisms of language along with their role in the mind and cultural evolution. Language evolution from primordial undifferentiated animal cries is discussed: while conceptual contents increase, emotional reduced. Neural mechanisms of these processes are suggested as well as their mathematical models: the knowledge instinct, the dual model connecting language and cognition, neural modeling fields. Mathematical results are related to cognitive science, linguistics, and psychology. Experimental evidence and theoretical arguments are discussed. Dynamics of the hierarchy-heterarchy of human minds and cultures is formulated using mean-field approach and approximate equations are obtained. The knowledge instinct operating in the mind heterarchy leads to mechanisms of differentiation and synthesis determining ontological development and cultural evolution. These mathematical models identify three types of cultures: "conceptual" pragmatic cultures in which emotionality of language is reduced and differentiation overtakes synthesis resulting in fast evolution at the price of uncertainty of values, self doubts, and internal crises; "traditional-emotional" cultures where differentiation lags behind synthesis, resulting in cultural stability at the price of stagnation; and "multi-cultural" societies combining fast cultural evolution and stability. Unsolved problems and future theoretical and experimental directions are discussed.

The introspective may achieve more: Enhancing existing Geoscientific models with native-language emulated structural reflection

Science.gov (United States)

Ji, Xinye; Shen, Chaopeng

2018-01-01

Geoscientific models manage myriad and increasingly complex data structures as trans-disciplinary models are integrated. They often incur significant redundancy with cross-cutting tasks. Reflection, the ability of a program to inspect and modify its structure and behavior at runtime, is known as a powerful tool to improve code reusability, abstraction, and separation of concerns. Reflection is rarely adopted in high-performance Geoscientific models, especially with Fortran, where it was previously deemed implausible. Practical constraints of language and legacy often limit us to feather-weight, native-language solutions. We demonstrate the usefulness of a structural-reflection-emulating, dynamically-linked metaObjects, gd. We show real-world examples including data structure self-assembly, effortless input/output (IO) and upgrade to parallel I/O, recursive actions and batch operations. We share gd and a derived module that reproduces MATLAB-like structure in Fortran and C++. We suggest that both a gd representation and a Fortran-native representation are maintained to access the data, each for separate purposes. Embracing emulated reflection allows generically-written codes that are highly re-usable across projects.

A Global Approach to Foreign Language Education.

Science.gov (United States)

Conner, Maurice W., Ed.

The papers collected here are largely devoted to foreign language education as a means of increasing international and cross-cultural understanding. Titles include: (1) "Language Is the Medium, Culture Is the Message: Globalizing Foreign Languages" (Lorraine A. Strasheim); (2) "Cultural Understanding for Global Citizenship: An Inservice Model"…

Skype Videoconferencing for Less Commonly Taught Languages: Examining the Effects on Students' Foreign Language Anxiety

Science.gov (United States)

Terantino, Joe

2014-01-01

This study compared students' foreign language anxiety levels while completing oral assessments administered face-to-face (F2F) and via Skype videoconferencing for university courses delivered under the self-instructional language program (SILP) model (Dunkel, Brill, & Kohl, 2002). Data were gathered by administering a modified Foreign…

The Model of Blended Learning and Its Use at Foreign Language Teaching

OpenAIRE

A. A. Kudysheva; A. N. Kudyshev

2013-01-01

In present article the model of Blended Learning, its advantage at foreign language teaching, and also some problems that can arise during its use are considered. The Blended Learning is a special organization of learning, which allows to combine classroom work and modern technologies in electronic distance teaching environment. Nowadays a lot of European educational institutions and companies use such technology. Through this method: student gets the opportunity to learn in a group (classroo...

Stochastic Model for the Vocabulary Growth in Natural Languages

Directory of Open Access Journals (Sweden)

Martin Gerlach

2013-05-01

Full Text Available We propose a stochastic model for the number of different words in a given database which incorporates the dependence on the database size and historical changes. The main feature of our model is the existence of two different classes of words: (i a finite number of core words, which have higher frequency and do not affect the probability of a new word to be used, and (ii the remaining virtually infinite number of noncore words, which have lower frequency and, once used, reduce the probability of a new word to be used in the future. Our model relies on a careful analysis of the Google Ngram database of books published in the last centuries, and its main consequence is the generalization of Zipf’s and Heaps’ law to two-scaling regimes. We confirm that these generalizations yield the best simple description of the data among generic descriptive models and that the two free parameters depend only on the language but not on the database. From the point of view of our model, the main change on historical time scales is the composition of the specific words included in the finite list of core words, which we observe to decay exponentially in time with a rate of approximately 30 words per year for English.

Pidgins and Creoles as Models of Language Change: The State of the Art.

Science.gov (United States)

McWhorter, John H.

2003-01-01

Examines the interface between language change and Creole studies. Discusses the Language Bioprogram Hypothesis, the Creole continuum, Creoles and grammaticalization, theoretic syntax, creole prototypes, and second language acquisition and language change. (Author/VWL)

Epsilon. A System Description Language

DEFF Research Database (Denmark)

Jensen, Kurt; Kyng, Morten

This paper discusses the use of Petri nets as a semantic tool in the design of languages and in the construction and analysis of system descriptions. The topics treated are: -- Languages based on nets. -- The problem of time in nets. -- Nets and related models. -- Nets and formal semantics...

The MMI Device Ontology: Enabling Sensor Integration

Science.gov (United States)

Rueda, C.; Galbraith, N.; Morris, R. A.; Bermudez, L. E.; Graybeal, J.; Arko, R. A.; Mmi Device Ontology Working Group

2010-12-01

The Marine Metadata Interoperability (MMI) project has developed an ontology for devices to describe sensors and sensor networks. This ontology is implemented in the W3C Web Ontology Language (OWL) and provides an extensible conceptual model and controlled vocabularies for describing heterogeneous instrument types, with different data characteristics, and their attributes. It can help users populate metadata records for sensors; associate devices with their platforms, deployments, measurement capabilities and restrictions; aid in discovery of sensor data, both historic and real-time; and improve the interoperability of observational oceanographic data sets. We developed the MMI Device Ontology following a community-based approach. By building on and integrating other models and ontologies from related disciplines, we sought to facilitate semantic interoperability while avoiding duplication. Key concepts and insights from various communities, including the Open Geospatial Consortium (eg., SensorML and Observations and Measurements specifications), Semantic Web for Earth and Environmental Terminology (SWEET), and W3C Semantic Sensor Network Incubator Group, have significantly enriched the development of the ontology. Individuals ranging from instrument designers, science data producers and consumers to ontology specialists and other technologists contributed to the work. Applications of the MMI Device Ontology are underway for several community use cases. These include vessel-mounted multibeam mapping sonars for the Rolling Deck to Repository (R2R) program and description of diverse instruments on deepwater Ocean Reference Stations for the OceanSITES program. These trials involve creation of records completely describing instruments, either by individual instances or by manufacturer and model. Individual terms in the MMI Device Ontology can be referenced with their corresponding Uniform Resource Identifiers (URIs) in sensor-related metadata specifications (e

Computer Programming Languages for Health Care

Science.gov (United States)

O'Neill, Joseph T.

1979-01-01

This paper advocates the use of standard high level programming languages for medical computing. It recommends that U.S. Government agencies having health care missions implement coordinated policies that encourage the use of existing standard languages and the development of new ones, thereby enabling them and the medical computing community at large to share state-of-the-art application programs. Examples are based on a model that characterizes language and language translator influence upon the specification, development, test, evaluation, and transfer of application programs.

New Frontiers in Language Evolution and Development.

Science.gov (United States)

Oller, D Kimbrough; Dale, Rick; Griebel, Ulrike

2016-04-01

This article introduces the Special Issue and its focus on research in language evolution with emphasis on theory as well as computational and robotic modeling. A key theme is based on the growth of evolutionary developmental biology or evo-devo. The Special Issue consists of 13 articles organized in two sections: A) Theoretical foundations and B) Modeling and simulation studies. All the papers are interdisciplinary in nature, encompassing work in biological and linguistic foundations for the study of language evolution as well as a variety of computational and robotic modeling efforts shedding light on how language may be developed and may have evolved. Copyright © 2016 Cognitive Science Society, Inc.

Using Hierarchical Linear Modeling to Examine How Individual SLPs Differentially Contribute to Children's Language and Literacy Gains in Public Schools.

Science.gov (United States)

Farquharson, Kelly; Tambyraja, Sherine R; Logan, Jessica; Justice, Laura M; Schmitt, Mary Beth

2015-08-01

The purpose of this study was twofold: (a) to determine the unique contributions in children's language and literacy gains, over 1 academic year, that are attributable to the individual speech-language pathologist (SLP) and (b) to explore possible child- and SLP-level factors that may further explain SLPs' contributions to children's language and literacy gains. Participants were 288 kindergarten and 1st-grade children with language impairment who were currently receiving school-based language intervention from SLPs. Using hierarchical linear modeling, we partitioned the variance in children's gains in language (i.e., grammar, vocabulary) and literacy (i.e., word decoding) that could be attributed to their individual SLP. Results revealed a significant contribution of individual SLPs to children's gains in grammar, vocabulary, and word decoding. Children's fall language scores and grade were significant predictors of SLPs' contributions, although no SLP-level predictors were significant. The present study makes a first step toward incorporating implementation science and suggests that, for children receiving school-based language intervention, variance in child language and literacy gains in an academic year is at least partially attributable to SLPs. Continued work in this area should examine the possible SLP-level characteristics that may further explicate the relative contributions of SLPs.

Programming languages for synthetic biology.

Science.gov (United States)

Umesh, P; Naveen, F; Rao, Chanchala Uma Maheswara; Nair, Achuthsankar S

2010-12-01

In the backdrop of accelerated efforts for creating synthetic organisms, the nature and scope of an ideal programming language for scripting synthetic organism in-silico has been receiving increasing attention. A few programming languages for synthetic biology capable of defining, constructing, networking, editing and delivering genome scale models of cellular processes have been recently attempted. All these represent important points in a spectrum of possibilities. This paper introduces Kera, a state of the art programming language for synthetic biology which is arguably ahead of similar languages or tools such as GEC, Antimony and GenoCAD. Kera is a full-fledged object oriented programming language which is tempered by biopart rule library named Samhita which captures the knowledge regarding the interaction of genome components and catalytic molecules. Prominent feature of the language are demonstrated through a toy example and the road map for the future development of Kera is also presented.

Communicating about quantity without a language model: number devices in homesign grammar.

Science.gov (United States)

Coppola, Marie; Spaepen, Elizabet; Goldin-Meadow, Susan

2013-01-01

All natural languages have formal devices for communicating about number, be they lexical (e.g., two, many) or grammatical (e.g., plural markings on nouns and/or verbs). Here we ask whether linguistic devices for number arise in communication systems that have not been handed down from generation to generation. We examined deaf individuals who had not been exposed to a usable model of conventional language (signed or spoken), but had nevertheless developed their own gestures, called homesigns, to communicate. Study 1 examined four adult homesigners and a hearing communication partner for each homesigner. The adult homesigners produced two main types of number gestures: gestures that enumerated sets (cardinal number marking), and gestures that signaled one vs. more than one (non-cardinal number marking). Both types of gestures resembled, in form and function, number signs in established sign languages and, as such, were fully integrated into each homesigner's gesture system and, in this sense, linguistic. The number gestures produced by the homesigners' hearing communication partners displayed some, but not all, of the homesigners' linguistic patterns. To better understand the origins of the patterns displayed by the adult homesigners, Study 2 examined a child homesigner and his hearing mother, and found that the child's number gestures displayed all of the properties found in the adult homesigners' gestures, but his mother's gestures did not. The findings suggest that number gestures and their linguistic use can appear relatively early in homesign development, and that hearing communication partners are not likely to be the source of homesigners' linguistic expressions of non-cardinal number. Linguistic devices for number thus appear to be so fundamental to language that they can arise in the absence of conventional linguistic input. Copyright © 2013 Elsevier Inc. All rights reserved.

Cross-Language Support Mechanisms Significantly Aid Software Development

DEFF Research Database (Denmark)

Pfeiffer, Rolf-Helge; Wasowski, Andrzej

2012-01-01

Contemporary software systems combine many artifacts specified in various modeling and programming languages, domainspecific and general purpose as well. Since multi-language systems are so widespread, working on them calls for tools with cross-language support mechanisms such as (1) visualizatio...

The abstract geometry modeling language (AgML): experience and road map toward eRHIC

International Nuclear Information System (INIS)

Webb, Jason; Lauret, Jerome; Perevoztchikov, Victor

2014-01-01

The STAR experiment has adopted an Abstract Geometry Modeling Language (AgML) as the primary description of our geometry model. AgML establishes a level of abstraction, decoupling the definition of the detector from the software libraries used to create the concrete geometry model. Thus, AgML allows us to support both our legacy GEANT 3 simulation application and our ROOT/TGeo based reconstruction software from a single source, which is demonstrably self- consistent. While AgML was developed primarily as a tool to migrate away from our legacy FORTRAN-era geometry codes, it also provides a rich syntax geared towards the rapid development of detector models. AgML has been successfully employed by users to quickly develop and integrate the descriptions of several new detectors in the RHIC/STAR experiment including the Forward GEM Tracker (FGT) and Heavy Flavor Tracker (HFT) upgrades installed in STAR for the 2012 and 2013 runs. AgML has furthermore been heavily utilized to study future upgrades to the STAR detector as it prepares for the eRHIC era. With its track record of practical use in a live experiment in mind, we present the status, lessons learned and future of the AgML language as well as our experience in bringing the code into our production and development environments. We will discuss the path toward eRHIC and pushing the current model to accommodate for detector miss-alignment and high precision physics.

Context Analysis of Customer Requests using a Hybrid Adaptive Neuro Fuzzy Inference System and Hidden Markov Models in the Natural Language Call Routing Problem

Science.gov (United States)

Rustamov, Samir; Mustafayev, Elshan; Clements, Mark A.

2018-04-01

The context analysis of customer requests in a natural language call routing problem is investigated in the paper. One of the most significant problems in natural language call routing is a comprehension of client request. With the aim of finding a solution to this issue, the Hybrid HMM and ANFIS models become a subject to an examination. Combining different types of models (ANFIS and HMM) can prevent misunderstanding by the system for identification of user intention in dialogue system. Based on these models, the hybrid system may be employed in various language and call routing domains due to nonusage of lexical or syntactic analysis in classification process.

Context Analysis of Customer Requests using a Hybrid Adaptive Neuro Fuzzy Inference System and Hidden Markov Models in the Natural Language Call Routing Problem

Directory of Open Access Journals (Sweden)

Rustamov Samir

2018-04-01

Full Text Available The context analysis of customer requests in a natural language call routing problem is investigated in the paper. One of the most significant problems in natural language call routing is a comprehension of client request. With the aim of finding a solution to this issue, the Hybrid HMM and ANFIS models become a subject to an examination. Combining different types of models (ANFIS and HMM can prevent misunderstanding by the system for identification of user intention in dialogue system. Based on these models, the hybrid system may be employed in various language and call routing domains due to nonusage of lexical or syntactic analysis in classification process.

THE USE OF BLENDED LEARNING MODELS IN THE PROCESS OF FOREIGN LANGUAGE LEARNING

Directory of Open Access Journals (Sweden)

Oleksandra Bezverkha

2017-09-01

Full Text Available In the article, the acute problem of implementation of pedagogical innovations and online technologies into the educational process is analyzed. The article explores the advantages of blended learning as a latter-day educational program in comparison with traditional campus learning. Blended learning is regarded worldwide as the combination of classroom face-to-face sessions with interactive learning opportunities created online. The purpose of the article is to identify blended learning transformational potential impacting students and teachers by ensuring a more personalized learning experience. The concept of blended learning, as a means to enhance foreign language teaching and learning in the classroom during the traditional face-to-face interaction between a teacher and a student, combined with computer-mediated activities, is examined. In the article, the main classification of blended learning models is established. There are four main blended learning models which include both face-to-face instruction time and online learning: Rotation Model, Flex Model, A La Carte Model, and Enriched Virtual Model. Once implemented successfully, a blended model can take advantage of both brick-and-mortar and digital worlds, providing significant benefits for the educational establishments and learners. To integrate any of the blended learning models, a teacher can create online activities that enable learners to explore the topic online at home, and then develop face-to-face interactions to dig deeper into the subject matter at the lesson. The use of blended learning models in order to expand educational opportunities for students while the foreign language acquisition, by increasing the availability and flexibility of education, taking into account student individual learning needs, with some element of student control over time, place and pace, is explored. The realization of blended learning models in regards to age and physiological peculiarities of

Preschool language interventions for latino dual language learners with language disorders: what, in what language, and how.

Science.gov (United States)

Simon-Cereijido, Gabriela

2015-05-01

About a quarter of young children in the United States are dual language learners. The large majority are Latino children who are exposed to Spanish in their homes. The language needs of Latino dual language preschoolers are different from the needs of monolingual English-speaking children. As a group, they are likely to live in environments that put them at risk of delays in language development. This situation is direr for dual language preschoolers with language impairment. Recent findings from studies on interventions for Spanish-English preschoolers with language impairment suggest that a bilingual approach does not delay English vocabulary and oral language learning and promotes Spanish maintenance. Targets and strategies for different language domains are described. The effects of pullout versus push-in interventions for this population are preliminarily explored. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Unified modeling language and design of a case-based retrieval system in medical imaging.

Science.gov (United States)

LeBozec, C; Jaulent, M C; Zapletal, E; Degoulet, P

1998-01-01

One goal of artificial intelligence research into case-based reasoning (CBR) systems is to develop approaches for designing useful and practical interactive case-based environments. Explaining each step of the design of the case-base and of the retrieval process is critical for the application of case-based systems to the real world. We describe herein our approach to the design of IDEM--Images and Diagnosis from Examples in Medicine--a medical image case-based retrieval system for pathologists. Our approach is based on the expressiveness of an object-oriented modeling language standard: the Unified Modeling Language (UML). We created a set of diagrams in UML notation illustrating the steps of the CBR methodology we used. The key aspect of this approach was selecting the relevant objects of the system according to user requirements and making visualization of cases and of the components of the case retrieval process. Further evaluation of the expressiveness of the design document is required but UML seems to be a promising formalism, improving the communication between the developers and users.

Transcranial magnetic stimulation: language function.

Science.gov (United States)

Epstein, C M

1998-07-01

Studies of language using transcranial magnetic stimulation (TMS) have focused both on identification of language areas and on elucidation of function. TMS may result in either inhibition or facilitation of language processes and may operate directly at a presumptive site of language cortex or indirectly through intracortical networks. TMS has been used to create reversible "temporary lesions," similar to those produced by Wada tests and direct cortical electrical stimulation, in cerebral cortical areas subserving language function. Rapid-rate TMS over the left inferior frontal region blocks speech output in most subjects. However, the results are not those predicted from classic models of language organization. Speech arrest is obtained most easily over facial motor cortex, and true aphasia is rare, whereas right hemisphere or bilateral lateralization is unexpectedly prominent. A clinical role for these techniques is not yet fully established. Interfering with language comprehension and verbal memory is currently more difficult than blocking speech output, but numerous TMS studies have demonstrated facilitation of language-related tasks, including oral word association, story recall, digit span, and picture naming. Conversely, speech output also facilitates motor responses to TMS in the dominant hemisphere. Such new and often-unexpected findings may provide important insights into the organization of language.

Assessing multilingual children: disentangling bilingualism from language impairment

NARCIS (Netherlands)

Armon-Lotem, S.; de Jong, J.; Meir, N.

2015-01-01

This book presents a comprehensive set of tools for assessing the linguistic abilities of bilingual children. It aims to disentangle effects of bilingualism from those of Specific Language Impairment (SLI), making use of both models of bilingualism and models of language impairment.

A language for information commerce processes

NARCIS (Netherlands)

Aberer, Karl; Wombacher, Andreas

Automatizing information commerce requires languages to represent the typical information commerce processes. Existing languages and standards cover either only very specific types of business models or are too general to capture in a concise way the specific properties of information commerce

Predictors of growth or attrition of the first language in Latino children with specific language impairment

Science.gov (United States)

Simon-Cereijido, Gabriela; Gutiérrez-Clellen, Vera F.; Sweet, Monica

2012-01-01

We investigated the factors that may help understand the differential rates of language development in the home language (i.e., Spanish) of Latino preschoolers with specific language impairment (SLI). Children were randomly assigned to either bilingual or English-only small group interventions and followed from preschool to kindergarten. Predictors of Spanish growth included the language of intervention, the child’s level of language development or severity, the child’s socio-emotional skills, and the child’s level of English use. Spanish performance outcomes were assessed over time using a series of longitudinal models with baseline and post-treatment measures nested within child. Children demonstrated growth on Spanish outcomes over time. The language of instruction and the child’s level of vocabulary and socio-emotional development at baseline were significant predictors of differences in rates of growth in the home language. Clinicians may need to take into consideration these factors when making clinical recommendations. PMID:24489415

Dynamic concision for three-dimensional reconstruction of human organ built with virtual reality modelling language (VRML)*

Science.gov (United States)

Yu, Zheng-yang; Zheng, Shu-sen; Chen, Lei-ting; He, Xiao-qian; Wang, Jian-jun

2005-01-01

This research studies the process of 3D reconstruction and dynamic concision based on 2D medical digital images using virtual reality modelling language (VRML) and JavaScript language, with a focus on how to realize the dynamic concision of 3D medical model with script node and sensor node in VRML. The 3D reconstruction and concision of body internal organs can be built with such high quality that they are better than those obtained from the traditional methods. With the function of dynamic concision, the VRML browser can offer better windows for man-computer interaction in real-time environment than ever before. 3D reconstruction and dynamic concision with VRML can be used to meet the requirement for the medical observation of 3D reconstruction and have a promising prospect in the fields of medical imaging. PMID:15973760

Model-Based Systems Engineering With the Architecture Analysis and Design Language (AADL) Applied to NASA Mission Operations