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

CloudLM: a Cloud-based Language Model for Machine Translation

Directory of Open Access Journals (Sweden)

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.

Rules out of Roles: Differences in Play Language and Their Developmental Significance

Science.gov (United States)

Kim, Yongho; Kellogg, David

2007-01-01

Using a discourse analytic approach from the work of Hoey (1991) and a dual processing model from Wray (2000), this paper compares the language produced by the same classes of children when they are engaged in role-play and when they are playing rule-based games. We find that role-play tends to be richer in "frozen" pair parts, where the responses…

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

Science.gov (United States)

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.

The roles of the instructors in an ESP-task based language teaching course

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Vargas Vásquez, José Miguel

2016-01-01

Full Text Available The graduate program in Teaching English at the University of Costa Rica offers yearly English courses to satisfy the language learning needs at different departments, research centers, or similar institutions. The objective of this article was to analyze the extent to which a group of student teachers fulfilled the roles of the instructors in the Task Based Language Teaching method used in the graduate program. The study used a mixed-methods approach and the subjects were three instructors during their teaching practicum. The roles of the instructors were assessed by the practicum supervisors, fellow students in the practicum, the students in the course, and the instructors themselves through rubrics, observation sheets, surveys, and teaching journals. The results from the different instruments using different scales pointed to the instructors fulfilling the roles of sequencing tasks and motivating the learners a majority of the times. The roles of preparing the learners for tasks and raising consciousness were fulfilled to a lesser extent, which indicated that the instructors needed to work further on these areas. The study concluded with recommendations for improving the roles that revealed weaknesses, notably aimed to provide a manageable numbers of vocabulary items and grammar structures in the pretask, as well as to provide prompt feedback, and to elicit students’ knowledge for the development of lessons.

The role of language in shaping international migration

DEFF Research Database (Denmark)

Pytlikova, Mariola; Adsera, Alicia

and climate shocks, migrant networks, language and aspects of “cultural distance”. In that regard, the more “foreign” or distant the new culture and the larger the language barriers, the higher the costs are for an individual to migrate to a particular destination. Fluency in destination country’s language...... destination countries from 130 source countries for the years 1985–2006 to study the role of language in shaping international migration. In addition to standard covariates from gravity models, we include a set of indices of language proximity to study their association to the observed flows: (1) a newly...... and destination country, to proxy for the “potential” ease to learn a new language and of adaptation; (3) measures of the diversity of the existing stock and flows of migrants (weighted by languages)....

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 ...

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

Modelling SDL, Modelling Languages

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Michael Piefel

2007-02-01

Full Text Available Today's software systems are too complex to implement them and model them using only one language. As a result, modern software engineering uses different languages for different levels of abstraction and different system aspects. Thus to handle an increasing number of related or integrated languages is the most challenging task in the development of tools. We use object oriented metamodelling to describe languages. Object orientation allows us to derive abstract reusable concept definitions (concept classes from existing languages. This language definition technique concentrates on semantic abstractions rather than syntactical peculiarities. We present a set of common concept classes that describe structure, behaviour, and data aspects of high-level modelling languages. Our models contain syntax modelling using the OMG MOF as well as static semantic constraints written in OMG OCL. We derive metamodels for subsets of SDL and UML from these common concepts, and we show for parts of these languages that they can be modelled and related to each other through the same abstract concepts.

Statistical Language Models and Information Retrieval: Natural Language Processing Really Meets Retrieval

NARCIS (Netherlands)

Hiemstra, Djoerd; de Jong, Franciska M.G.

2001-01-01

Traditionally, natural language processing techniques for information retrieval have always been studied outside the framework of formal models of information retrieval. In this article, we introduce a new formal model of information retrieval based on the application of statistical language models.

Self-Organizing Map Models of Language Acquisition

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Ping eLi

2013-11-01

Full Text Available Connectionist models have had a profound impact on theories of language. While most early models were inspired by the classic PDP architecture, recent models of language have explored various other types of models, including self-organizing models for language acquisition. In this paper we aim at providing a review of the latter type of models, and highlight a number of simulation experiments that we have conducted based on these models. We show that self-organizing connectionist models can provide significant insights into long-standing debates in both monolingual and bilingual language development.

The role of syllables in sign language production.

Science.gov (United States)

Baus, Cristina; Gutiérrez, Eva; Carreiras, Manuel

2014-01-01

The aim of the present study was to investigate the functional role of syllables in sign language and how the different phonological combinations influence sign production. Moreover, the influence of age of acquisition was evaluated. Deaf signers (native and non-native) of Catalan Signed Language (LSC) were asked in a picture-sign interference task to sign picture names while ignoring distractor-signs with which they shared two phonological parameters (out of three of the main sign parameters: Location, Movement, and Handshape). The results revealed a different impact of the three phonological combinations. While no effect was observed for the phonological combination Handshape-Location, the combination Handshape-Movement slowed down signing latencies, but only in the non-native group. A facilitatory effect was observed for both groups when pictures and distractors shared Location-Movement. Importantly, linguistic models have considered this phonological combination to be a privileged unit in the composition of signs, as syllables are in spoken languages. Thus, our results support the functional role of syllable units during phonological articulation in sign language production.

A simple branching model that reproduces language family and language population distributions

Science.gov (United States)

Schwämmle, Veit; de Oliveira, Paulo Murilo Castro

2009-07-01

Human history leaves fingerprints in human languages. Little is known about language evolution and its study is of great importance. Here we construct a simple stochastic model and compare its results to statistical data of real languages. The model is based on the recent finding that language changes occur independently of the population size. We find agreement with the data additionally assuming that languages may be distinguished by having at least one among a finite, small number of different features. This finite set is also used in order to define the distance between two languages, similarly to linguistics tradition since Swadesh.

Polyphonic Piano Transcription with a Note-Based Music Language Model

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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.

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.

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.

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

Directory of Open Access Journals (Sweden)

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.

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)

GESTURE'S ROLE IN CREATING AND LEARNING LANGUAGE.

Science.gov (United States)

Goldin-Meadow, Susan

2010-09-22

Imagine a child who has never seen or heard language. Would such a child be able to invent a language? Despite what one might guess, the answer is "yes". This chapter describes children who are congenitally deaf and cannot learn the spoken language that surrounds them. In addition, the children have not been exposed to sign language, either by their hearing parents or their oral schools. Nevertheless, the children use their hands to communicate--they gesture--and those gestures take on many of the forms and functions of language (Goldin-Meadow 2003a). The properties of language that we find in these gestures are just those properties that do not need to be handed down from generation to generation, but can be reinvented by a child de novo. They are the resilient properties of language, properties that all children, deaf or hearing, come to language-learning ready to develop. In contrast to these deaf children who are inventing language with their hands, hearing children are learning language from a linguistic model. But they too produce gestures, as do all hearing speakers (Feyereisen and de Lannoy 1991; Goldin-Meadow 2003b; Kendon 1980; McNeill 1992). Indeed, young hearing children often use gesture to communicate before they use words. Interestingly, changes in a child's gestures not only predate but also predict changes in the child's early language, suggesting that gesture may be playing a role in the language-learning process. This chapter begins with a description of the gestures the deaf child produces without speech. These gestures assume the full burden of communication and take on a language-like form--they are language. This phenomenon stands in contrast to the gestures hearing speakers produce with speech. These gestures share the burden of communication with speech and do not take on a language-like form--they are part of language.

The Potential Role(s) of Writing in Second Language Development

Science.gov (United States)

Williams, Jessica

2012-01-01

Writing is often seen as having a minor role in second language learning. This article explores recent research that suggests that writing can have a facilitative role in language development. In particular, it focuses on three features of writing: (1) its slower pace, and (2) the enduring record that it leaves, both of which can encourage…

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…

THE ROLE OF AWARENESS IN SECOND LANGUAGE DEVELOPMENT

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Fahriany Fahriany

2015-12-01

Full Text Available Cognitive psychology and cognitive science appear to agree that attention to stimuli is needed for long-term memory storage and that little, if any, learning can take place without attention. One strand of psycholinguistic research that has drawn quite a lot of interest, both from a theoretical and empirical perspective, is the role awareness plays in second language acquisition (SLA. To promote a further understanding of the role of awareness may potentially contribute to L2 development. This article will  briefly describe current theoretical approaches to the role of awareness in language learning,  review recent studies that have employed verbal reports to investigate the effects of awareness on L2 development, and  provide, based on the review, some awareness-raising pedagogical tasks for the L2 classroom setting. Keywords: attention, awareness, detection, feedback, L2 development

Self-organizing map models of language acquisition

Science.gov (United States)

Li, Ping; Zhao, Xiaowei

2013-01-01

Connectionist models have had a profound impact on theories of language. While most early models were inspired by the classic parallel distributed processing architecture, recent models of language have explored various other types of models, including self-organizing models for language acquisition. In this paper, we aim at providing a review of the latter type of models, and highlight a number of simulation experiments that we have conducted based on these models. We show that self-organizing connectionist models can provide significant insights into long-standing debates in both monolingual and bilingual language development. We suggest future directions in which these models can be extended, to better connect with behavioral and neural data, and to make clear predictions in testing relevant psycholinguistic theories. PMID:24312061

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

Science.gov (United States)

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.

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

Towards Domain-specific Flow-based Languages

DEFF Research Database (Denmark)

Zarrin, Bahram; Baumeister, Hubert; Sarjoughian, Hessam S.

2018-01-01

describe their problems and solutions, instead of using general purpose programming languages. The goal of these languages is to improve the productivity and efficiency of the development and simulation of concurrent scientific models and systems. Moreover, they help to expose parallelism and to specify...... the concurrency within a component or across different independent components. In this paper, we introduce the concept of domain-specific flowbased languages which allows domain experts to use flow-based languages adapted to a particular problem domain. Flow-based programming is used to support concurrency, while......Due to the significant growth of the demand for data-intensive computing, in addition to the emergence of new parallel and distributed computing technologies, scientists and domain experts are leveraging languages specialized for their problem domain, i.e., domain-specific languages, to help them...

Turkish Foreign Language Learners' Roles and Outputs: Introducing an Innovation and Role-Playing in Second Life

Science.gov (United States)

Ozbek, Cigdem; Comoglu, Irem; Baran, Bahar

2017-01-01

This study aims to design of the two activities "introducing an innovation" and "role playing" in Second Life (SL) and to evaluate qualitatively Turkish foreign language learner's roles and outputs before, while, and after the implementation of the activities. The study used community of inquiry model consisting of cognitive…

Principles of parametric estimation in modeling language competition.

Science.gov (United States)

Zhang, Menghan; Gong, Tao

2013-06-11

It is generally difficult to define reasonable parameters and interpret their values in mathematical models of social phenomena. Rather than directly fitting abstract parameters against empirical data, we should define some concrete parameters to denote the sociocultural factors relevant for particular phenomena, and compute the values of these parameters based upon the corresponding empirical data. Taking the example of modeling studies of language competition, we propose a language diffusion principle and two language inheritance principles to compute two critical parameters, namely the impacts and inheritance rates of competing languages, in our language competition model derived from the Lotka-Volterra competition model in evolutionary biology. These principles assign explicit sociolinguistic meanings to those parameters and calculate their values from the relevant data of population censuses and language surveys. Using four examples of language competition, we illustrate that our language competition model with thus-estimated parameter values can reliably replicate and predict the dynamics of language competition, and it is especially useful in cases lacking direct competition data.

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.

Perceived ethnic and language-based discrimination and Latina immigrant women's health.

Science.gov (United States)

Halim, May Ling; Moy, Keith H; Yoshikawa, Hirokazu

2017-01-01

Perceiving ethnic discrimination can have aversive consequences for health. However, little is known about whether perceiving language-based (how one speaks a second language) discrimination poses the same risks. This study examined whether perceptions of language-based and ethnic discrimination are associated with mental and physical health. Among 132 Mexican and Dominican immigrant women, perceiving ethnic and language-based discrimination each predicted psychological distress and poorer physical health. When examined together, only ethnic discrimination remained a significant predictor. These results emphasize the importance of understanding how perceived ethnic and language-based discrimination play an integral role in the health of Latina immigrant women.

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.

Design Of Computer Based Test Using The Unified Modeling Language

Science.gov (United States)

Tedyyana, Agus; Danuri; Lidyawati

2017-12-01

The Admission selection of Politeknik Negeri Bengkalis through interest and talent search (PMDK), Joint Selection of admission test for state Polytechnics (SB-UMPN) and Independent (UM-Polbeng) were conducted by using paper-based Test (PBT). Paper Based Test model has some weaknesses. They are wasting too much paper, the leaking of the questios to the public, and data manipulation of the test result. This reasearch was Aimed to create a Computer-based Test (CBT) models by using Unified Modeling Language (UML) the which consists of Use Case diagrams, Activity diagram and sequence diagrams. During the designing process of the application, it is important to pay attention on the process of giving the password for the test questions before they were shown through encryption and description process. RSA cryptography algorithm was used in this process. Then, the questions shown in the questions banks were randomized by using the Fisher-Yates Shuffle method. The network architecture used in Computer Based test application was a client-server network models and Local Area Network (LAN). The result of the design was the Computer Based Test application for admission to the selection of Politeknik Negeri Bengkalis.

Object-oriented biomedical system modelling--the language.

Science.gov (United States)

Hakman, M; Groth, T

1999-11-01

The paper describes a new object-oriented biomedical continuous system modelling language (OOBSML). It is fully object-oriented and supports model inheritance, encapsulation, and model component instantiation and behaviour polymorphism. Besides the traditional differential and algebraic equation expressions the language includes also formal expressions for documenting models and defining model quantity types and quantity units. It supports explicit definition of model input-, output- and state quantities, model components and component connections. The OOBSML model compiler produces self-contained, independent, executable model components that can be instantiated and used within other OOBSML models and/or stored within model and model component libraries. In this way complex models can be structured as multilevel, multi-component model hierarchies. Technically the model components produced by the OOBSML compiler are executable computer code objects based on distributed object and object request broker technology. This paper includes both the language tutorial and the formal language syntax and semantic description.

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

Modeling of Slovak Language for Broadcast News Transcription

Directory of Open Access Journals (Sweden)

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.

XML-Based SHINE Knowledge Base Interchange Language

Science.gov (United States)

James, Mark; Mackey, Ryan; Tikidjian, Raffi

2008-01-01

The SHINE Knowledge Base Interchange Language software has been designed to more efficiently send new knowledge bases to spacecraft that have been embedded with the Spacecraft Health Inference Engine (SHINE) tool. The intention of the behavioral model is to capture most of the information generally associated with a spacecraft functional model, while specifically addressing the needs of execution within SHINE and Livingstone. As such, it has some constructs that are based on one or the other.

A Dynamic Object Behavior Model and Implementation Based on Computational Reflection

Institute of Scientific and Technical Information of China (English)

HE Cheng-wan; HE Fei; HE Ke-qing

2005-01-01

A dynamic object behavior model based on computational reflection is proposed. This model consists of function level and meta level, the meta objects in meta level manage the base objects and behaviors in function level, including dynamic binding and unbinding of base object and behavior.We implement this model with RoleJava Language, which is our self linguistic extension of the Java Language. Meta Objects are generated automatically at compile-time, this makes the reflecton mechanism transparent to programmers. Finally an example applying this model to a banking system is presented.

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...

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.

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).

Implicit Schemata and Categories in Memory-Based Language Processing

Science.gov (United States)

van den Bosch, Antal; Daelemans, Walter

2013-01-01

Memory-based language processing (MBLP) is an approach to language processing based on exemplar storage during learning and analogical reasoning during processing. From a cognitive perspective, the approach is attractive as a model for human language processing because it does not make any assumptions about the way abstractions are shaped, nor any…

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

Directory of Open Access Journals (Sweden)

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.

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...

Constructing a Language Assessment Knowledge Base: A Focus on Language Assessment Courses

Science.gov (United States)

Inbar-Lourie, Ofra

2008-01-01

The competencies required for conducting assessment in the educational context have recently been reformulated in view of social constructivist perspectives and the acknowledgement of the role of classroom assessment in promoting learning. These changes have impacted the knowledge base language assessors need to obtain, and hence the contents of…

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.

An XML-Based Manipulation and Query Language for Rule-Based Information

Science.gov (United States)

Mansour, Essam; Höpfner, Hagen

Rules are utilized to assist in the monitoring process that is required in activities, such as disease management and customer relationship management. These rules are specified according to the application best practices. Most of research efforts emphasize on the specification and execution of these rules. Few research efforts focus on managing these rules as one object that has a management life-cycle. This paper presents our manipulation and query language that is developed to facilitate the maintenance of this object during its life-cycle and to query the information contained in this object. This language is based on an XML-based model. Furthermore, we evaluate the model and language using a prototype system applied to a clinical case study.

Salience and Attention in Surprisal-Based Accounts of Language Processing.

Science.gov (United States)

Zarcone, Alessandra; van Schijndel, Marten; Vogels, Jorrig; Demberg, Vera

2016-01-01

The notion of salience has been singled out as the explanatory factor for a diverse range of linguistic phenomena. In particular, perceptual salience (e.g., visual salience of objects in the world, acoustic prominence of linguistic sounds) and semantic-pragmatic salience (e.g., prominence of recently mentioned or topical referents) have been shown to influence language comprehension and production. A different line of research has sought to account for behavioral correlates of cognitive load during comprehension as well as for certain patterns in language usage using information-theoretic notions, such as surprisal. Surprisal and salience both affect language processing at different levels, but the relationship between the two has not been adequately elucidated, and the question of whether salience can be reduced to surprisal / predictability is still open. Our review identifies two main challenges in addressing this question: terminological inconsistency and lack of integration between high and low levels of representations in salience-based accounts and surprisal-based accounts. We capitalize upon work in visual cognition in order to orient ourselves in surveying the different facets of the notion of salience in linguistics and their relation with models of surprisal. We find that work on salience highlights aspects of linguistic communication that models of surprisal tend to overlook, namely the role of attention and relevance to current goals, and we argue that the Predictive Coding framework provides a unified view which can account for the role played by attention and predictability at different levels of processing and which can clarify the interplay between low and high levels of processes and between predictability-driven expectation and attention-driven focus.

Salience and Attention in Surprisal-Based Accounts of Language Processing

Science.gov (United States)

Zarcone, Alessandra; van Schijndel, Marten; Vogels, Jorrig; Demberg, Vera

2016-01-01

The notion of salience has been singled out as the explanatory factor for a diverse range of linguistic phenomena. In particular, perceptual salience (e.g., visual salience of objects in the world, acoustic prominence of linguistic sounds) and semantic-pragmatic salience (e.g., prominence of recently mentioned or topical referents) have been shown to influence language comprehension and production. A different line of research has sought to account for behavioral correlates of cognitive load during comprehension as well as for certain patterns in language usage using information-theoretic notions, such as surprisal. Surprisal and salience both affect language processing at different levels, but the relationship between the two has not been adequately elucidated, and the question of whether salience can be reduced to surprisal / predictability is still open. Our review identifies two main challenges in addressing this question: terminological inconsistency and lack of integration between high and low levels of representations in salience-based accounts and surprisal-based accounts. We capitalize upon work in visual cognition in order to orient ourselves in surveying the different facets of the notion of salience in linguistics and their relation with models of surprisal. We find that work on salience highlights aspects of linguistic communication that models of surprisal tend to overlook, namely the role of attention and relevance to current goals, and we argue that the Predictive Coding framework provides a unified view which can account for the role played by attention and predictability at different levels of processing and which can clarify the interplay between low and high levels of processes and between predictability-driven expectation and attention-driven focus. PMID:27375525

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.

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

The Role of Motivation in Language Learning

OpenAIRE

Rahman, Anwar

2011-01-01

The mastery of English learning is influenced by some variables, one of them is motivation. Motivation in learning second language is classified as integrative motivation and instrumental motivation. Some experts of language teaching also categorized motivation into two types namely intrinsic motivation and extrinsic motivation. This paper discusses about kinds of motivation and how it takes a role in influencing students mastery in learning language. It was literature study that focused to f...

The Role of First-Language Listening Comprehension in Second-Language Reading Comprehension

Science.gov (United States)

Edele, Aileen; Stanat, Petra

2016-01-01

Although the simple view of reading and other theories suggest that listening comprehension is an important determinant of reading comprehension, previous research on linguistic transfer has mainly focused on the role of first language (L1) decoding skills in second language (L2) reading. The present study tested the assumption that listening…

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

Directory of Open Access Journals (Sweden)

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.

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.

Parsimonious Language Models for Information Retrieval

NARCIS (Netherlands)

Hiemstra, Djoerd; Robertson, Stephen; Zaragoza, Hugo

We systematically investigate a new approach to estimating the parameters of language models for information retrieval, called parsimonious language models. Parsimonious language models explicitly address the relation between levels of language models that are typically used for smoothing. As such,

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…

Constructing agency: The role of language

Directory of Open Access Journals (Sweden)

Caitlin M Fausey

2010-10-01

Full Text Available Is agency a straightforward and universal feature of human experience? Or is the construction of agency (including attention to and memory for people involved in events guided by patterns in culture? In this paper we focus on one aspect of cultural experience: patterns in language. We examined English and Japanese speakers’ descriptions of intentional and accidental events. English and Japanese speakers described intentional events similarly, using mostly agentive language (e.g., She broke the vase. However, when it came to accidental events English speakers used more agentive language than did Japanese speakers. We then tested whether these different patterns found in language may also manifest in cross-cultural differences in attention and memory. Results from a non-linguistic memory task showed that English and Japanese speakers remembered the agents of intentional events equally well. However, English speakers remembered the agents of accidents better than did Japanese speakers, as predicted from patterns in language. Further, directly manipulating agency in language during another laboratory task changed people’s eye-witness memory, confirming a possible causal role for language. Patterns in one’s linguistic environment may promote and support how people instantiate agency in context.

Modelling and simulating decision processes of linked lives: An approach based on concurrent processes and stochastic race

NARCIS (Netherlands)

Warnke, T.; Reinhardt, O.; Klabunde, A.; Willekens, F.J.; Uhrmacher, A.

2017-01-01

Individuals’ decision processes play a central role in understanding modern migration phenomena and other demographic processes. Their integration into agent-based computational demography depends largely on suitable support by a modelling language. We are developing the Modelling Language for

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

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.

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…

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

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...

Testing the Claims of Asylum Seekers: The Role of Language Analysis

Science.gov (United States)

Eades, Diana

2009-01-01

Language tests in immigration contexts typically perform a gate-keeping role in decisions about whether an applicant should be granted residence or citizenship in a new country. In refugee contexts, so-called language tests or language analyses also play a gate-keeping role, but a more ambitious one; namely that of providing answers to questions…

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.

Computational Investigations of Multiword Chunks in Language Learning.

Science.gov (United States)

McCauley, Stewart M; Christiansen, Morten H

2017-07-01

Second-language learners rarely arrive at native proficiency in a number of linguistic domains, including morphological and syntactic processing. Previous approaches to understanding the different outcomes of first- versus second-language learning have focused on cognitive and neural factors. In contrast, we explore the possibility that children and adults may rely on different linguistic units throughout the course of language learning, with specific focus on the granularity of those units. Following recent psycholinguistic evidence for the role of multiword chunks in online language processing, we explore the hypothesis that children rely more heavily on multiword units in language learning than do adults learning a second language. To this end, we take an initial step toward using large-scale, corpus-based computational modeling as a tool for exploring the granularity of speakers' linguistic units. Employing a computational model of language learning, the Chunk-Based Learner, we compare the usefulness of chunk-based knowledge in accounting for the speech of second-language learners versus children and adults speaking their first language. Our findings suggest that while multiword units are likely to play a role in second-language learning, adults may learn less useful chunks, rely on them to a lesser extent, and arrive at them through different means than children learning a first language. Copyright © 2017 Cognitive Science Society, Inc.

Grammar Is the Heart of Language: Grammar and Its Role in Language Learning among Finnish University Students

Science.gov (United States)

Saaristo, Pekka

2015-01-01

This article presents and discusses views on grammar and its role in formal language learning amongst Finnish university students. The results are based on a questionnaire which was distributed to students at the University of Jyväskylä as part of institutional action research. The background to the project was a feeling amongst some teachers of…

A grammar-based semantic similarity algorithm for natural language sentences.

Science.gov (United States)

Lee, Ming Che; Chang, Jia Wei; Hsieh, Tung Cheng

2014-01-01

This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to "artificial language", such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure.

Reexamining the language account of cross-national differences in base-10 number representations.

Science.gov (United States)

Vasilyeva, Marina; Laski, Elida V; Ermakova, Anna; Lai, Weng-Feng; Jeong, Yoonkyung; Hachigian, Amy

2015-01-01

East Asian students consistently outperform students from other nations in mathematics. One explanation for this advantage is a language account; East Asian languages, unlike most Western languages, provide cues about the base-10 structure of multi-digit numbers, facilitating the development of base-10 number representations. To test this view, the current study examined how kindergartners represented two-digit numbers using single unit-blocks and ten-blocks. The participants (N=272) were from four language groups (Korean, Mandarin, English, and Russian) that vary in the extent of "transparency" of the base-10 structure. In contrast to previous findings with older children, kindergartners showed no cross-language variability in the frequency of producing base-10 representations. Furthermore, they showed a pattern of within-language variability that was not consistent with the language account and was likely attributable to experiential factors. These findings suggest that language might not play as critical a role in the development of base-10 representations as suggested in earlier research. Copyright © 2014 Elsevier Inc. All rights reserved.

Toward Cognitively Constrained Models of Language Processing: A Review

Directory of Open Access Journals (Sweden)

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

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.

The role of the speech-language pathologist in home care.

Science.gov (United States)

Giles, Melanie; Barker, Mary; Hayes, Amanda

2014-06-01

Speech language pathologists play an important role in the care of patients with speech, language, or swallowing difficulties that can result from a variety of medical conditions. This article describes how speech language pathologists assess and treat these conditions and the red flags that suggest a referral to a speech language pathologist is indicated.

Salience and attention in surprisal-based accounts of language processing

Directory of Open Access Journals (Sweden)

Alessandra eZarcone

2016-06-01

Full Text Available The notion of salience has been singled out as the explanatory factor for a diverse range oflinguistic phenomena. In particular, perceptual salience (e.g. visual salience of objects in the world,acoustic prominence of linguistic sounds and semantic-pragmatic salience (e.g. prominence ofrecently mentioned or topical referents have been shown to influence language comprehensionand production. A different line of research has sought to account for behavioral correlates ofcognitive load during comprehension as well as for certain patterns in language usage usinginformation-theoretic notions, such as surprisal. Surprisal and salience both affect languageprocessing at different levels, but the relationship between the two has not been adequatelyelucidated, and the question of whether salience can be reduced to surprisal / predictability isstill open. Our review identifies two main challenges in addressing this question: terminologicalinconsistency and lack of integration between high and low levels of representations in salience-based accounts and surprisal-based accounts. We capitalise upon work in visual cognition inorder to orient ourselves in surveying the different facets of the notion of salience in linguisticsand their relation with models of surprisal. We find that work on salience highlights aspects oflinguistic communication that models of surprisal tend to overlook, namely the role of attentionand relevance to current goals, and we argue that the Predictive Coding framework provides aunified view which can account for the role played by attention and predictability at different levelsof processing and which can clarify the interplay between low and high levels of processes andbetween predictability-driven expectation and attention-driven focus.

A General Attribute and Rule Based Role-Based Access Control Model

Institute of Scientific and Technical Information of China (English)

无

2007-01-01

Growing numbers of users and many access control policies which involve many different resource attributes in service-oriented environments bring various problems in protecting resource. This paper analyzes the relationships of resource attributes to user attributes in all policies, and propose a general attribute and rule based role-based access control(GAR-RBAC) model to meet the security needs. The model can dynamically assign users to roles via rules to meet the need of growing numbers of users. These rules use different attribute expression and permission as a part of authorization constraints, and are defined by analyzing relations of resource attributes to user attributes in many access policies that are defined by the enterprise. The model is a general access control model, and can support many access control policies, and also can be used to wider application for service. The paper also describes how to use the GAR-RBAC model in Web service environments.

Towards a Definition of Role-related Concepts for Business Modeling

NARCIS (Netherlands)

Meertens, Lucas Onno; Iacob, Maria Eugenia; Nieuwenhuis, Lambertus Johannes Maria

2010-01-01

Abstract—While several role-related concepts play an important role in business modeling, their definitions, relations, and use differ greatly between languages, papers, and reports. Due to this, the knowledge captured by models is not transferred correctly, and models are incomparable. In this

Task-role-based Access Control Model in Smart Health-care System

Directory of Open Access Journals (Sweden)

Wang Peng

2015-01-01

Full Text Available As the development of computer science and smart health-care technology, there is a trend for patients to enjoy medical care at home. Taking enormous users in the Smart Health-care System into consideration, access control is an important issue. Traditional access control models, discretionary access control, mandatory access control, and role-based access control, do not properly reflect the characteristics of Smart Health-care System. This paper proposes an advanced access control model for the medical health-care environment, task-role-based access control model, which overcomes the disadvantages of traditional access control models. The task-role-based access control (T-RBAC model introduces a task concept, dividing tasks into four categories. It also supports supervision role hierarchy. T-RBAC is a proper access control model for Smart Health-care System, and it improves the management of access rights. This paper also proposes an implementation of T-RBAC, a binary two-key-lock pair access control scheme using prime factorization.

Task-and-role-based access-control model for computational grid

Institute of Scientific and Technical Information of China (English)

LONG Tao; HONG Fan; WU Chi; SUN Ling-li

2007-01-01

Access control in a grid environment is a challenging issue because the heterogeneous nature and independent administration of geographically dispersed resources in grid require access control to use fine-grained policies. We established a task-and-role-based access-control model for computational grid (CG-TRBAC model), integrating the concepts of role-based access control (RBAC) and task-based access control (TBAC). In this model, condition restrictions are defined and concepts specifically tailored to Workflow Management System are simplified or omitted so that role assignment and security administration fit computational grid better than traditional models; permissions are mutable with the task status and system variables, and can be dynamically controlled. The CG-TRBAC model is proved flexible and extendible. It can implement different control policies. It embodies the security principle of least privilege and executes active dynamic authorization. A task attribute can be extended to satisfy different requirements in a real grid system.

Facilitating pragmatic skills through role-play in learners with language learning disability.

Science.gov (United States)

Abdoola, Fareeaa; Flack, Penelope S; Karrim, Saira B

2017-07-26

Role-based learning involves the process whereby learners acquire skills, knowledge and understanding through the assumption of roles within real-life settings. Role-play holds potential as an effective learning strategy for children; however, there is limited research on the use of role-play as a therapy method within the field of speech-language pathology. Children with language learning disability (LLD) typically present with difficulties in social communication, which can negatively affect their social and academic achievement. The aim of this study was to determine the effectiveness of role-play as a therapy approach targeting the pragmatic skills of stylistic variation and requesting for clarification in learners with LLD. The use of combined positivist and interpretivist paradigms allowed for the implementation of an embedded mixed methods design. An experimental pretest-posttest design was implemented. Eight participants, who were learners with a diagnosis of LLD, were purposefully selected. Data collection was conducted over five phases, utilising the Clinical Evaluation of Language Fundamentals (4th Ed.) Pragmatics Profile, discourse completion tasks, session plans and session records. Quantitative data were analysed using descriptive statistics and were supplemented by qualitative data from session records. Results revealed improvements in stylistic variation and requesting for clarification post role-play intervention, with minimal changes in the control group. Limitations of the study have been reported for consideration when interpreting results. Role-play as a therapy approach targeting two pragmatic skills, stylistic variation and requesting for clarification, was found to be beneficial for learners with LLD. Recommendations for the implementation of role-play as a therapy approach were made.

More Than Words: The Role of Multiword Sequences in Language Learning and Use.

Science.gov (United States)

Christiansen, Morten H; Arnon, Inbal

2017-07-01

The ability to convey our thoughts using an infinite number of linguistic expressions is one of the hallmarks of human language. Understanding the nature of the psychological mechanisms and representations that give rise to this unique productivity is a fundamental goal for the cognitive sciences. A long-standing hypothesis is that single words and rules form the basic building blocks of linguistic productivity, with multiword sequences being treated as units only in peripheral cases such as idioms. The new millennium, however, has seen a shift toward construing multiword linguistic units not as linguistic rarities, but as important building blocks for language acquisition and processing. This shift-which originated within theoretical approaches that emphasize language learning and use-has far-reaching implications for theories of language representation, processing, and acquisition. Incorporating multiword units as integral building blocks blurs the distinction between grammar and lexicon; calls for models of production and comprehension that can accommodate and give rise to the effect of multiword information on processing; and highlights the importance of such units to learning. In this special topic, we bring together cutting-edge work on multiword sequences in theoretical linguistics, first-language acquisition, psycholinguistics, computational modeling, and second-language learning to present a comprehensive overview of the prominence and importance of such units in language, their possible role in explaining differences between first- and second-language learning, and the challenges the combined findings pose for theories of language. Copyright © 2017 Cognitive Science Society, Inc.

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

The role of language in emotion: predictions from psychological constructionism

Science.gov (United States)

Lindquist, Kristen A.; MacCormack, Jennifer K.; Shablack, Holly

2015-01-01

Common sense suggests that emotions are physical types that have little to do with the words we use to label them. Yet recent psychological constructionist accounts reveal that language is a fundamental element in emotion that is constitutive of both emotion experiences and perceptions. According to the psychological constructionist Conceptual Act Theory (CAT), an instance of emotion occurs when information from one’s body or other people’s bodies is made meaningful in light of the present situation using concept knowledge about emotion. The CAT suggests that language plays a role in emotion because language supports the conceptual knowledge used to make meaning of sensations from the body and world in a given context. In the present paper, we review evidence from developmental and cognitive science to reveal that language scaffolds concept knowledge in humans, helping humans to acquire abstract concepts such as emotion categories across the lifespan. Critically, language later helps individuals use concepts to make meaning of on-going sensory perceptions. Building on this evidence, we outline predictions from a psychological constructionist model of emotion in which language serves as the “glue” for emotion concept knowledge, binding concepts to embodied experiences and in turn shaping the ongoing processing of sensory information from the body and world to create emotional experiences and perceptions. PMID:25926809

Assessment of Programming Language Learning Based on Peer Code Review Model: Implementation and Experience Report

Science.gov (United States)

Wang, Yanqing; Li, Hang; Feng, Yuqiang; Jiang, Yu; Liu, Ying

2012-01-01

The traditional assessment approach, in which one single written examination counts toward a student's total score, no longer meets new demands of programming language education. Based on a peer code review process model, we developed an online assessment system called "EduPCR" and used a novel approach to assess the learning of computer…

“Stories from No-Man’s Land?” Situated language learning through the use of role models in the context of international Higher Education

NARCIS (Netherlands)

Haines, Kevin

2012-01-01

This article discusses the value of role models in the language acquisition process of international students following an English as Medium of Instruction (EMI) programme in the Netherlands. Narrative interpretations of qualitative data provide insights into the identity work involved in the use of

From language classroom to clinical context: the role of language and culture in communication for nurses using English as a second language: a thematic analysis.

Science.gov (United States)

O'Neill, Fiona

2011-09-01

This study explores the experiences of internationally educated nurses using English as a second language, recruited by advanced economies to supplement diminishing local workforces, as they progress from language learning programs to clinical settings. Understanding the journey these nurses experience as language learners and professionals highlights ways in which they could be better supported in their adaptation and integration into the Australian workforce. By means of semi-structured interviews, the nurses' narratives were explored and documented. Thematic analysis was used to interpret their experiences as they move from the English language classroom to the clinical setting. The participants had all completed studies in English as a second language in Australia and had experienced working in Australian as part of a competency based assessment program. At the time of the study, conducted in South Australia, six of the nurses had met the English language requirements of the Nurses Board of South Australia and had started working as Registered Nurses in Australia. Four participants were still to reach the mandatory English requirements, among whom three were to return to their home countries due to visa restrictions, and continue their efforts to attain the English language proficiency requirement. There were six female participants and four male. Five participants were Indian, four Chinese, and one, Nepalese. In exploring their experiences, themes of identity and belonging, safety and competence and adapting to new roles and ways of communicating are revealed. In their own words, these nurses reveal the challenges they face as they concurrently manage the roles of language learners and professionals. The journey from language classroom to clinical setting is a process that goes beyond the notions of language proficiency; these nurses are constructing new cultural and professional identities. Bridging the gap between preparation and practice involves making

An Evaluation of a Language for Paper-based Form Sketching

DEFF Research Database (Denmark)

Farruglia, Phillip; Borg, Johnathan; Camilleri, K.P.

2006-01-01

form idea. The research disclosed in this paper is aimed at combining the benefits of paper-based freehand sketches with those of three-dimensional (3D) models. More specifically, this paper reports the on-going development of a prescribed sketching language (PSL) required to create a seamless link...... between paper-based form sketching and CAGM systems. Evaluation results revealed that whilst PSL is easy-to-learn, yet it requires improvements. Such a sketching language contributes a step towards simulating early form design solutions by the combined use of paper-based sketches and 3D models....

Creating Role models for Japanese Learners

OpenAIRE

Brown, Howard

2009-01-01

English classes in Japan are often taught through the medium of Japanese. This sends the message that English is a subject of study rather than a means of communication. A great deal of recent research and pedagogical work has gone into encouraging more classroom English use by Japanese Teachers of English in order to provide positive role models of language use to students. Along with this, other content area faculty members can become role models for students' English success. Results of th...

Facilitating pragmatic skills through role-play in learners with language learning disability

Directory of Open Access Journals (Sweden)

Fareeaa Abdoola

2017-07-01

Full Text Available Background: Role-based learning involves the process whereby learners acquire skills, knowledge and understanding through the assumption of roles within real-life settings. Role-play holds potential as an effective learning strategy for children; however, there is limited research on the use of role-play as a therapy method within the field of speech-language pathology. Children with language learning disability (LLD typically present with difficulties in social communication, which can negatively affect their social and academic achievement. Aim: The aim of this study was to determine the effectiveness of role-play as a therapy approach targeting the pragmatic skills of stylistic variation and requesting for clarification in learners with LLD. Method: The use of combined positivist and interpretivist paradigms allowed for the implementation of an embedded mixed methods design. An experimental pretest-posttest design was implemented. Eight participants, who were learners with a diagnosis of LLD, were purposefully selected. Data collection was conducted over five phases, utilising the Clinical Evaluation of Language Fundamentals (4th Ed. Pragmatics Profile, discourse completion tasks, session plans and session records. Quantitative data were analysed using descriptive statistics and were supplemented by qualitative data from session records. Results: Results revealed improvements in stylistic variation and requesting for clarification post role-play intervention, with minimal changes in the control group. Limitations of the study have been reported for consideration when interpreting results. Conclusion: Role-play as a therapy approach targeting two pragmatic skills, stylistic variation and requesting for clarification, was found to be beneficial for learners with LLD. Recommendations for the implementation of role-play as a therapy approach were made.

Parents' Role in the Early Head Start Children's Language Development

Science.gov (United States)

Griswold, Cecelia Smalls

2014-01-01

The development of language during a child's early years has been linked to parental involvement. While Early Head Start (EHS) researchers have theorized that parental involvement is an important factor in language development, there has been little research on how parents view their roles in the language development process. The purpose of this…

A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences

Science.gov (United States)

Chang, Jia Wei; Hsieh, Tung Cheng

2014-01-01

This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to “artificial language”, such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure. PMID:24982952

A Grammar-Based Semantic Similarity Algorithm for Natural Language Sentences

Directory of Open Access Journals (Sweden)

Ming Che Lee

2014-01-01

Full Text Available This paper presents a grammar and semantic corpus based similarity algorithm for natural language sentences. Natural language, in opposition to “artificial language”, such as computer programming languages, is the language used by the general public for daily communication. Traditional information retrieval approaches, such as vector models, LSA, HAL, or even the ontology-based approaches that extend to include concept similarity comparison instead of cooccurrence terms/words, may not always determine the perfect matching while there is no obvious relation or concept overlap between two natural language sentences. This paper proposes a sentence similarity algorithm that takes advantage of corpus-based ontology and grammatical rules to overcome the addressed problems. Experiments on two famous benchmarks demonstrate that the proposed algorithm has a significant performance improvement in sentences/short-texts with arbitrary syntax and structure.

Analysis of an Instructional Coach's Role as Elementary School Language Teachers' Professional Developer

Science.gov (United States)

Chien, Chin-Wen

2013-01-01

Coaches can provide teachers with quality professional development experiences by mentoring, providing workshops, modeling, or encouraging professional growth (York-Barr & Duke, 2004). This study focuses on the instructional coach's role in the professional development of teachers of English language learners (ELLs). The study has the following…

TOWARDS A MULTI-SCALE AGENT-BASED PROGRAMMING LANGUAGE METHODOLOGY.

Science.gov (United States)

Somogyi, Endre; Hagar, Amit; Glazier, James A

2016-12-01

Living tissues are dynamic, heterogeneous compositions of objects , including molecules, cells and extra-cellular materials, which interact via chemical, mechanical and electrical process and reorganize via transformation, birth, death and migration processes . Current programming language have difficulty describing the dynamics of tissues because: 1: Dynamic sets of objects participate simultaneously in multiple processes, 2: Processes may be either continuous or discrete, and their activity may be conditional, 3: Objects and processes form complex, heterogeneous relationships and structures, 4: Objects and processes may be hierarchically composed, 5: Processes may create, destroy and transform objects and processes. Some modeling languages support these concepts, but most cannot translate models into executable simulations. We present a new hybrid executable modeling language paradigm, the Continuous Concurrent Object Process Methodology ( CCOPM ) which naturally expresses tissue models, enabling users to visually create agent-based models of tissues, and also allows computer simulation of these models.

Consistency maintenance for constraint in role-based access control model

Institute of Scientific and Technical Information of China (English)

韩伟力; 陈刚; 尹建伟; 董金祥

2002-01-01

Constraint is an important aspect of role-based access control and is sometimes argued to be the principal motivation for role-based access control (RBAC). But so far few authors have discussed consistency maintenance for constraint in RBAC model. Based on researches of constraints among roles and types of inconsistency among constraints, this paper introduces corresponding formal rules, rule-based reasoning and corresponding methods to detect, avoid and resolve these inconsistencies. Finally, the paper introduces briefly the application of consistency maintenance in ZD-PDM, an enterprise-oriented product data management (PDM) system.

How Neighbours Communicate: The Role of Language in Border Relations

Directory of Open Access Journals (Sweden)

Sonni Olsen

2014-10-01

Full Text Available This paper reports on a study of the linguistic situation in the border region where Norway meets Russia in the north. The aim of the study was to investigate language use when contact is revitalised after a long period with closed borders. The Norwegian and Russian languages are very different in vocabulary and structure, which makes communication difficult. How are the two languages affected by extended contact and migration across the border? The study was carried out by the author and Marit Bjerkeng through interviews, a questionnaire and observation of the linguistic situations in two Norwegian communities. The results show an ongoing development where the neighbouring language is increasingly noticeable, and there is a clear link between attitudes, identity and language use. The role of public policy seems to play an important role for the developing linguistic situation, as the Barents region as a political concept introduced in the 1990s has led to cross-border contact within various fields and also inspired local language policy, contributing to cultural pride an

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…

Text-based language identification of multilingual names

CSIR Research Space (South Africa)

Giwa, O

2015-11-01

Full Text Available Text-based language identification (T-LID) of isolated words has been shown to be useful for various speech processing tasks, including pronunciation modelling and data categorisation. When the words to be categorised are proper names, the task...

Lexical Base as a Compressed Language Model of the World (on the material of the Ukrainian language)

OpenAIRE

Buk, Solomiya

2004-01-01

In the article the fact is verified that the list of words selected by formal statistical methods (frequency and functional genre unrestrictedness) is not a conglomerate of non-related words. It creates a system of interrelated items and it can be named "lexical base of language". This selected list of words covers all the spheres of human activities. To verify this statement the invariant synoptical scheme common for ideographic dictionaries of different language was determined.

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.

Domain-Specific Modelling Languages in Bigraphs

DEFF Research Database (Denmark)

Perrone, Gian David

" of models, in order to improve the utility of the models we build, and to ease the process of model construction by moving the languages we use to express such models closer to their respective domains. This thesis is concerned with the study of bigraphical reactive systems as a host for domain...... for deciding reaction rule causation. Finally, we provide a mechanism for the modular construction of domain-specic modelling languages as bigraphical reactive systems, exploring the relationship between vertical renement and language specialisation in this setting. The thesis is composed of several...

A role based coordination model in agent systems

Institute of Scientific and Technical Information of China (English)

ZHANG Ya-ying; YOU Jin-yuan

2005-01-01

Coordination technology addresses the construction of open, flexible systems from active and independent software agents in concurrent and distributed systems. In most open distributed applications, multiple agents need interaction and communication to achieve their overall goal. Coordination technologies for the Internet typically are concerned with enabling interaction among agents and helping them cooperate with each other.At the same time, access control should also be considered to constrain interaction to make it harmless. Access control should be regarded as the security counterpart of coordination. At present, the combination of coordination and access control remains an open problem. Thus, we propose a role based coordination model with policy enforcement in agent application systems. In this model, coordination is combined with access control so as to fully characterize the interactions in agent systems. A set of agents interacting with each other for a common global system task constitutes a coordination group. Role based access control is applied in this model to prevent unauthorized accesses. Coordination policy is enforced in a distributed manner so that the model can be applied to the open distributed systems such as Intemet. An Internet online auction system is presented as a case study to illustrate the proposed coordination model and finally the performance analysis of the model is introduced.

Unifying Model-Based and Reactive Programming within a Model-Based Executive

Science.gov (United States)

Williams, Brian C.; Gupta, Vineet; Norvig, Peter (Technical Monitor)

1999-01-01

Real-time, model-based, deduction has recently emerged as a vital component in AI's tool box for developing highly autonomous reactive systems. Yet one of the current hurdles towards developing model-based reactive systems is the number of methods simultaneously employed, and their corresponding melange of programming and modeling languages. This paper offers an important step towards unification. We introduce RMPL, a rich modeling language that combines probabilistic, constraint-based modeling with reactive programming constructs, while offering a simple semantics in terms of hidden state Markov processes. We introduce probabilistic, hierarchical constraint automata (PHCA), which allow Markov processes to be expressed in a compact representation that preserves the modularity of RMPL programs. Finally, a model-based executive, called Reactive Burton is described that exploits this compact encoding to perform efficIent simulation, belief state update and control sequence generation.

Cross-linguistic influence in multilingual language acquisition: The role of L1 and non-native languages in English and Catalan oral production

Directory of Open Access Journals (Sweden)

Mireia Ortega

2008-06-01

Full Text Available Most research in third language acquisition has focused on the effects that factors such as language distance, second language (L2 status, proficiency or recency have on the choice of the source language (L1 in cross-linguistic influence (CLI. This paper presents a study of these factors, and of the influence that the L1 (Spanish has on L2 (English and L3 (Catalan oral production. Lexical and syntactic transfer are analysed in the production of Catalan and English of two multilingual speakers with similar knowledge of non-native languages. They were interviewed twice in an informal environment. The results show that the L1 is the main source of transfer, both in L2 and L3 production, but its influence decreases as proficiency in the target language increases. Language distance also plays an important role in CLI, especially if proficiency in the source language is high and if there has been recent exposure to it. The findings also suggest that while syntactic transfer is exclusively L1-based, lexical transfer can occur from a non-native language.

Consistency maintenance for constraint in role-based access control model

Institute of Scientific and Technical Information of China (English)

韩伟力; 陈刚; 尹建伟; 董金祥

2002-01-01

Constraint is an important aspect of role-based access control and is sometimes argued to be the principal motivation for role-based access control (RBAC). But so far'few authors have discussed consistency maintenance for constraint in RBAC model. Based on researches of constraints among roles and types of inconsistency among constraints, this paper introduces correaponding formal rules, rulebased reasoning and corresponding methods to detect, avoid and resolve these inconsistencies. Finally,the paper introduces briefly the application of consistency maintenance in ZD-PDM, an enterprise-ori-ented product data management (PDM) system.

Digital Game-Based Language Learning in Foreign Language Teacher Education

Directory of Open Access Journals (Sweden)

Yunus ALYAZ

2016-10-01

Full Text Available New technologies including digital game-based language learning have increasingly received attention. However, their implementation is far from expected and desired levels due to technical, instructional, financial and sociological barriers. Previous studies suggest that there is a strong need to establish courses in order to support adaptation of game-based learning pedagogy through helping teachers experience digital games themselves before they are expected to use them in teaching. This study was conducted to investigate educational digital games in foreign language teaching, to identify the determining reasons behind the pittfalls in applications and to explore the contribution of a serious game to the development of professional language skills of pre-service teachers. Pre- and post-tests were applied to measure the contribution of the game to the development of their language skills. In addition, a game diary and semi-structured interviews were used to elicit information about the problems pre-service teachers had and their perceptions on the whole process. The analysis of the data illustrated that there was great improvement in pre-service teachers’ professional language skills and attitudes towards using these games while teaching in the future. This is important in foreign language teacher education in terms of enhancing digital game-based language learning pedagogy for teachers.

Massively Multiplayer Online Role-Playing Games as Arenas for Second Language Learning

Science.gov (United States)

Peterson, Mark

2010-01-01

This article investigates contemporary research on the use of massively multiplayer online role-playing games (MMORPGs) in language education. The development and key features of these games are explored. This is followed by an examination of the theories proposed as a basis for game-based learning, and the claims made regarding the value of…

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

ESL students learning biology: The role of language and social interactions

Science.gov (United States)

Jaipal, Kamini

This study explored three aspects related to ESL students in a mainstream grade 11 biology classroom: (1) the nature of students' participation in classroom activities, (2) the factors that enhanced or constrained ESL students' engagement in social interactions, and (3) the role of language in the learning of science. Ten ESL students were observed over an eight-month period in this biology classroom. Data were collected using qualitative research methods such as participant observation, audio-recordings of lessons, field notes, semi-structured interviews, short lesson recall interviews and students' written work. The study was framed within sociocultural perspectives, particularly the social constructivist perspectives of Vygotsky (1962, 1978) and Wertsch (1991). Data were analysed with respect to the three research aspects. Firstly, the findings showed that ESL students' preferred and exhibited a variety of participation practices that ranged from personal-individual to socio-interactive in nature. Both personal-individual and socio-interactive practices appeared to support science and language learning. Secondly, the findings indicated that ESL students' engagement in classroom social interactions was most likely influenced by the complex interactions between a number of competing factors at the individual, interpersonal and community/cultural levels (Rogoff, Radziszewska, & Masiello, 1995). In this study, six factors that appeared to enhance or constrain ESL students' engagement in classroom social interactions were identified. These factors were socio-cultural factors, prior classroom practice, teaching practices, affective factors, English language proficiency, and participation in the research project. Thirdly, the findings indicated that language played a significant mediational role in ESL students' learning of science. The data revealed that the learning of science terms and concepts can be explained by a functional model of language that includes: (1

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.

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.

The Role of Grammar Instruction in Language Teaching

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无

2001-01-01

@@ The role of grammar instruction in foreign or second language acquisition is one of the most con troversial issues in foreign/second language teach ing and learning research. The advocators of gram mar instruction argue that grammar should be the core of language instruction and formal instruction enhances formal accuracy. On the other hand, crit ics naintain that the grammar knowledge has lim ited uses and may hinder the students from acquir ing the communicative competence and efficiency. Undoubtedly these two extreme theories often put teachers into a dilemma. What theory should they believe then? Do they accept the one and ignore the other?

Establishing the Thematic Structure and Investigating the most Prominent Theta Roles Used in Sindhi Language

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Zahid Ali Veesar

2015-07-01

Full Text Available This study focuses on the thematic structure of the Sindhi verbs to find theta roles in the Sindhi language. The study tries to answer the research questions; “What are the thematic structures of Sindhi verbs?” and “What are the prominent theta roles in the Sindhi language?” It examines the argument/thematic structure of Sindhi verbs and also finds the theta roles assigned by the Sindhi verbs to their arguments along with the most prominent theta roles used in the Sindhi language. The data come from the two interviews taken from two young native Sindhi speakers, which consist of 2 hours conversation having 1,669 sentences in natural spoken version of the Sindhi language. Towards the end, it has been found that the Sindhi language has certain theta roles which are assigned by the verbs to their arguments in sentences. Each verb phrase in our data is thus examined and studied in detail in terms of Argument/Thematic structure in order to find theta roles in Sindhi language. Thus, in this regard, each verb phrase (in a sentence has been examined with the help of Carnie’s theoretical framework (Thematic Relation and Theta Roles: 2006 in order to find the prominent theta roles in the Sindhi language. The data have been examined and analysed on the basis of the Carnie’s theoretical framework. The study finds that the Sindhi language has all (09 theta roles which have been proposed by Carnie (2006. It has been found that six prominent theta roles out of nine are used prominently in Sindhi. The six prominent theta roles in Sindhi language are: agent, theme, beneficiary, recipient, locative and goal.

Minority Language Researchers and Their Role in Policy Development

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Gorter, Durk

2012-01-01

This paper deals with the role of researchers in the development of language policies for European minority languages. This question is placed in the context of a long-standing debate in sociology to which several authors have contributed; among them are Max Weber, Howard Becker and Alvin Gouldner. This article also briefly refers to the European…

Corpus Based Authenicity Analysis of Language Teaching Course Books

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Emrah PEKSOY

2017-12-01

Full Text Available In this study, the resemblance of the language learning course books used in Turkey to authentic language spoken by native speakers is explored by using a corpus-based approach. For this, the 10-million-word spoken part of the British National Corpus was selected as reference corpus. After that, all language learning course books used in high schools in Turkey were scanned and transferred to SketchEngine, an online corpus query tool. Lastly, certain grammar points were extracted first from British National Corpus and then from course books; similaritites and differences were compared. At the end of the study, it was found that the language learning course books have little similarity to authentic language in terms of certain grammatical items and frequency of their collocations. In this way, the points to be revised and changed were explored. In addition, this study emphasized the role of corpus approach as a material development and analysis tool; and tested the functionality of course books for writers and for Ministry of National Education.

A rights-based approach to science literacy using local languages: Contextualising inquiry-based learning in Africa

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Babaci-Wilhite, Zehlia

2017-06-01

This article addresses the importance of teaching and learning science in local languages. The author argues that acknowledging local knowledge and using local languages in science education while emphasising inquiry-based learning improve teaching and learning science. She frames her arguments with the theory of inquiry, which draws on perspectives of both dominant and non-dominant cultures with a focus on science literacy as a human right. She first examines key assumptions about knowledge which inform mainstream educational research and practice. She then argues for an emphasis on contextualised learning as a right in education. This means accounting for contextualised knowledge and resisting the current trend towards de-contextualisation of curricula. This trend is reflected in Zanzibar's recent curriculum reform, in which English replaced Kiswahili as the language of instruction (LOI) in the last two years of primary school. The author's own research during the initial stage of the change (2010-2015) revealed that the effect has in fact proven to be counterproductive, with educational quality deteriorating further rather than improving. Arguing that language is essential to inquiry-based learning, she introduces a new didactic model which integrates alternative assumptions about the value of local knowledge and local languages in the teaching and learning of science subjects. In practical terms, the model is designed to address key science concepts through multiple modalities - "do it, say it, read it, write it" - a "hands-on" experiential combination which, she posits, may form a new platform for innovation based on a unique mix of local and global knowledge, and facilitate genuine science literacy. She provides examples from cutting-edge educational research and practice that illustrate this new model of teaching and learning science. This model has the potential to improve learning while supporting local languages and culture, giving local languages their

READING BASED-CLASSROOM ACTIVITIES: AN EFFORT TOWARD THE INTEGRATION OF LANGUAGE SKILLS IN TEACHING ENGLISH AS A FOREIGN LANGUAGE IN INDONESIA

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Hadi Hadi

2006-01-01

Full Text Available Abstract: This paper proposes the implementation of reading-based classroom activities for teaching English as a foreign language in Indonesia. Compared to other language skills, reading is viewed to provide a relatively stable foundation for Indonesian students to develop their communicative competence in English. It is argued that reading-focused activities stimulate confidence for Indonesian learners to get involved in listening, speaking, and writing related-activities in ways that are similar to normal daily life communication. The reasons for the proposed implementation of reading-based classroom activities in TEFLIN and the role of reading and its relation with other language skills are presented.

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

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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.

The Role of Indigenous Languages in National Development: A Case Study of Nigerian Linguistic Situation

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Anthony Ayodele Olaoye

2013-05-01

Full Text Available Indigenous languages are indispensable cultural legacies without which all forms of human interactions can be carried out. National development is the development of individuals in a nation. Individuals can develop educationally, socially, politically, economically, and culturally through interaction with government agencies that disseminate policies through various indigenous languages. Development indices such as internal cohesion, integration, unity, economic wellbeing and citizens’ participation in governance are promoted through indigenous languages. Based on these assertions, the author studied the current linguistic situations in Nigeria and found that native languages play fundamental role on issues  such as democracy, technology, metalanguage and linguistic globalization .There are however some challenges in the optimum  utilization of these mother tongues. The major problems being orthographic inadequacy,the multiplicity of minority languages, linguistic desertification and deforestation and  language endangerment.The author then suggests a way forward.

Language Classroom Risk-Taking Behavior in a Performed Culture-Based Program

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Stephen D. Luft

2013-01-01

Full Text Available While several studies have investigated the role of risk-taking in language learning, the findings of these studies may not be generalizable to language learning where the performed culture approach (PCA is used. This study describes the relationship between language learning and risk-taking in PCA, and the relationship between risk-taking and personal study habits, teaching style, daily grading, and classroom dynamics. Data were collected by means of a questionnaire. This study finds that risk-taking behavior has a moderate positive relationship with student performance in PCA. While questionnaire items related to teaching style and classroom dynamics are not found to significantly correlate with students’ risk-taking behavior, some items related to daily grading and personal study habits are found to have a moderate positive relationship with risk-taking behavior. Based on these findings, it is recommended that further research investigate the relationship between assessment and risktaking in language learning. As second language acquisition researchers have investigated the role of affective variables in language learning, risk-taking has frequently been identified as a variable linked with success (Beebe, 1983; Ely, 1986; Naiman, Frolich, Stern, & Todesco, 1978; Rubin, 1975; Samimy & Pardin, 1994; Samimy & Tabuse, 1992. However, it is difficult to apply these findings to language classrooms that use the performed culture approach (PCA, an approach to the teaching of East Asian languages, for two reasons: (a PCA’s focus on the learning of a foreign culture could mean that greater risk is involved in 106 Luft language learning than in a typical language classroom; (b PCA creates a language learning experience for which the risks involved are different than those in language classrooms where other approaches are used.

Exploring the Role of the Speech-language Therapist in City Centre Preschools

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Sandra du Plessis

2012-12-01

Full Text Available This study investigates the perception of the strengths and challenges that face city centre preschool teachers and preschool learners in the acquisition of English as medium of instruction and to use the results to explore the role of speech-language therapists in this context. A descriptive survey, incorporating a quantitative data collection method, was selected as the research design and a questionnaire was developed as a survey instrument. The findings identified the strengths as including the creative communication strategies employed by the pre-schoolers and the innovative techniques of the teachers. Perceived challenges include a cultural and linguistic mismatch between teachers and learners and communication barriers that cause emotional and behavioural problems in classrooms. The study suggests that speech-language therapists need to consider and employ service delivery models instead of traditional models with the preschool teachers.

Resistant or Favorable? Chinese Learners' Beliefs towards Task-Based Language Learning and Teaching

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Damien Le Gal

2015-04-01

Full Text Available English as Foreign Language (EFL in East Asia involves major sociocultural issues. Modern, Western-based methodologies such as Communicative Language Learning (CLL, Communicative Language Teaching, CLT in this paper and its further development Task-Based Language Learning and Teaching (TBLLT, Ellis, 2003, feature principles which can conflict with some of the fundamental values of Confucian Heritage Cultures (CHC education and hinder their adoption in Korea, Taiwan, Japan, Singapore, Hong-Kong and Vietnam. This article introduces a sociocultural, ethnographic perspective on EFL in East Asia which contextualizes language teaching in its broader educational and cultural environment. Teacher-centeredness, book and writing focuses, memorization strategies within a grammar-translation approach are in contradiction with modern language teaching methodologies' focuses on learner-centeredness and teachers' facilitating roles, student participation and interactions, communication competence and learner autonomy. The text advocates for a mean between Western and Eastern learning cultures through a context-based, culturally-sensitive approach and introduces classroom's strategies for the implementation of CLL and TBLLT in China and East Asia.

Language Learning Enhanced by Massive Multiple Online Role-Playing Games (MMORPGs) and the Underlying Behavioral and Neural Mechanisms

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Zhang, Yongjun; Song, Hongwen; Liu, Xiaoming; Tang, Dinghong; Chen, Yue-e; Zhang, Xiaochu

2017-01-01

Massive Multiple Online Role-Playing Games (MMORPGs) have increased in popularity among children, juveniles, and adults since MMORPGs’ appearance in this digital age. MMORPGs can be applied to enhancing language learning, which is drawing researchers’ attention from different fields and many studies have validated MMORPGs’ positive effect on language learning. However, there are few studies on the underlying behavioral or neural mechanism of such effect. This paper reviews the educational application of the MMORPGs based on relevant macroscopic and microscopic studies, showing that gamers’ overall language proficiency or some specific language skills can be enhanced by real-time online interaction with peers and game narratives or instructions embedded in the MMORPGs. Mechanisms underlying the educational assistant role of MMORPGs in second language learning are discussed from both behavioral and neural perspectives. We suggest that attentional bias makes gamers/learners allocate more cognitive resources toward task-related stimuli in a controlled or an automatic way. Moreover, with a moderating role played by activation of reward circuit, playing the MMORPGs may strengthen or increase functional connectivity from seed regions such as left anterior insular/frontal operculum (AI/FO) and visual word form area to other language-related brain areas. PMID:28303097

Language Learning Enhanced by Massive Multiple Online Role-Playing Games (MMORPGs) and the Underlying Behavioral and Neural Mechanisms.

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Zhang, Yongjun; Song, Hongwen; Liu, Xiaoming; Tang, Dinghong; Chen, Yue-E; Zhang, Xiaochu

2017-01-01

Massive Multiple Online Role-Playing Games (MMORPGs) have increased in popularity among children, juveniles, and adults since MMORPGs' appearance in this digital age. MMORPGs can be applied to enhancing language learning, which is drawing researchers' attention from different fields and many studies have validated MMORPGs' positive effect on language learning. However, there are few studies on the underlying behavioral or neural mechanism of such effect. This paper reviews the educational application of the MMORPGs based on relevant macroscopic and microscopic studies, showing that gamers' overall language proficiency or some specific language skills can be enhanced by real-time online interaction with peers and game narratives or instructions embedded in the MMORPGs. Mechanisms underlying the educational assistant role of MMORPGs in second language learning are discussed from both behavioral and neural perspectives. We suggest that attentional bias makes gamers/learners allocate more cognitive resources toward task-related stimuli in a controlled or an automatic way. Moreover, with a moderating role played by activation of reward circuit, playing the MMORPGs may strengthen or increase functional connectivity from seed regions such as left anterior insular/frontal operculum (AI/FO) and visual word form area to other language-related brain areas.

Women's Language Model: A Proposal.

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Dumas, Bethany K.

It is possible to think of women's language in terms of the model implied by the following statement. Insofar as native speakers of English are concerned, the language of women in America has four sets of components: those shared with the language of men in America; those shared, in varying proportions, with other women living in patriarchies;…

The Role of Inuit Languages in Nunavut Schooling: Nunavut Teachers Talk about Bilingual Education

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Aylward, M. Lynn

2010-01-01

This article provides a discourse analysis of interview transcripts generated from 10 experienced Nunavut teachers (five Inuit and five non-Inuit) regarding the role of Inuit languages in Nunavut schooling. Discussion and analysis focus on the motif of bilingual education. Teachers' talk identified discourse models of "academic truths" and…

Lost in Translation: Product Label Language and the Mediating Role of Authenticity on Purchase Intention

DEFF Research Database (Denmark)

Chrysochou, Polymeros; Traganou, Maria

2018-01-01

Should an exported product that is produced in a specific country keep the native language on its label or not? In this study, we explore how the role of native language of an origin-labelled product impacts consumer response. Based on an online experiment with consumers in the US (N=981) using...... as stimuli an olive oil product originating from Tunisia, our findings suggest that the presence of native language on a product’s label has a positive effect on product authenticity, which, in turn, increases purchase intention. However, this process is conditional on country of origin (COO) preferences...

VMTL: a language for end-user model transformation

DEFF Research Database (Denmark)

Acretoaie, Vlad; Störrle, Harald; Strüber, Daniel

2016-01-01

, these languages are largely ill-equipped for adoption by end-user modelers in areas such as requirements engineering, business process management, or enterprise architecture. We aim to introduce a model transformation language addressing the skills and requirements of end-user modelers. With this contribution, we......Model transformation is a key enabling technology of Model-Driven Engineering (MDE). Existing model transformation languages are shaped by and for MDE practitioners—a user group with needs and capabilities which are not necessarily characteristic of modelers in general. Consequently...... hope to broaden the application scope of model transformation and MDE technology in general. We discuss the profile of end-user modelers and propose a set of design guidelines for model transformation languages addressing them. We then introduce Visual Model Transformation Language (VMTL) following...

The Sociolinguistic Model in Speech and Language Pathology.

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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…

Presheaf models for CCS-like languages

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Winskel, Glynn

2003-01-01

for a general process language, in which CCS and related languages are easily encoded. The results are then transferred to traditional models for processes. By first establishing the congruence results for presheaf models, abstract, general proofs of congruence properties can be provided and the awkwardness...... caused through traditional models not always possessing the cartesian liftings, used in the breakdown of process operations, are side stepped. The abstract results are applied to show that hereditary history-preserving bisimulation is a congruence for CCS-like languages to which is added a refinement...

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

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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.

An Integrated Framework to Specify Domain-Specific Modeling Languages

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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....

A Core Language for Separate Variability Modeling

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Iosif-Lazăr, Alexandru Florin; Wasowski, Andrzej; Schaefer, Ina

2014-01-01

Separate variability modeling adds variability to a modeling language without requiring modifications of the language or the supporting tools. We define a core language for separate variability modeling using a single kind of variation point to define transformations of software artifacts in object...... hierarchical dependencies between variation points via copying and flattening. Thus, we reduce a model with intricate dependencies to a flat executable model transformation consisting of simple unconditional local variation points. The core semantics is extremely concise: it boils down to two operational rules...

The role of text in teaching foreign languages

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Tatyana A. Baranovskaya

2014-01-01

Full Text Available The research is devoted to a multi-level study of the essence and role of text creation comprehension in teaching a foreign language. Capturing motivational and logical mental structures along with recognising communicative and cognitive aspects of a person's identity in a text are key linguopsychological elements of studying text activities. The scientific value of the research is in specifying the operational approach to describing a concrete level of a person's consciousness, on which cognitive structures acquire language realisation in the process on communication. Existence of a person's concsiousness is considered on three levels of abstracrion within the conscious: sensory field, associative field, motivational field. The contents of a person's language consciousness can be described through its thesaurus and presented as a filter that sifts through incoming meaningful information expressed in the sign form. The process of first language acquisition by a child is closely related to the apprearance of the correlation between dynamic and static systems of sound production (syllable production and articulation. Tranfer to foreign language acquisition will then be connected only with changing the characted of the correlation in each specific case. Foreign language teaching is connected with the learners' using the language skills they already possess. Peculiarity of language consciousness is revealed both when comparing lexical and grammatical categories in several languages, in which the forms of the same category have different meanings, and when comparing a limited set of such linguistic meanings with an unlimited number of linguistic features and relations between the objects.

Language Networks as Models of Cognition: Understanding Cognition through Language

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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.

The Role of Language in Adult Education and Poverty Reduction in Botswana

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Bagwasi, Mompoloki

2006-05-01

This study examines the role of language in reducing poverty in Botswana through adult-education programs. Because language is the medium through which human beings communicate and grow intellectually and socially, it should form the basis of any discussion involving the relation between development and education. In order best to respond to societal changes and bridge the gap between the less privileged and the more privileged, adult-education programs should be guided by language policies that are sensitive to this pivotal role that language plays. Language is important in any discussion of poverty reduction because it determines who has access to educational, political and economic resources. The author recommends that adult-education programs in Botswana take account of the multilingual nature of society and so allow learners to participate freely, make use of their indigenous knowledge, and enhance their self-esteem and identity.

Motivation within the Information Processing Model of Foreign Language Learning

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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,…

The role of metrology in mediating and mobilizing the language and culture of scientific facts

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Fisher, W. P., Jr.; Stenner, A. J.

2015-02-01

The self-conscious awareness of language and its use is arguably nowhere more intense than in metrology. The careful and deliberate coordination and alignment of shared metrological frames of reference for theory, experiment, and practical application have been characteristics of scientific culture at least since the origins of the SI units in revolutionary France. Though close attention has been focused on the logical and analytical aspects of language use in science, little concern has been shown for understanding how the social and historical aspects of everyday language may have foreshadowed and influenced the development and character of metrological language, especially relative to the inevitably partial knowledge possessed by any given stakeholder participating in the scientific enterprise. Insight in this regard may be helpful in discerning how and if an analogous role for metrology might be created in psychology and the social sciences. It may be that the success of psychology as a science will depend less on taking physics as the relevant model than on attending to the interplay of concepts, models, and social organization that make any culture effective.

Thai Language Sentence Similarity Computation Based on Syntactic Structure and Semantic Vector

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Wang, Hongbin; Feng, Yinhan; Cheng, Liang

2018-03-01

Sentence similarity computation plays an increasingly important role in text mining, Web page retrieval, machine translation, speech recognition and question answering systems. Thai language as a kind of resources scarce language, it is not like Chinese language with HowNet and CiLin resources. So the Thai sentence similarity research faces some challenges. In order to solve this problem of the Thai language sentence similarity computation. This paper proposes a novel method to compute the similarity of Thai language sentence based on syntactic structure and semantic vector. This method firstly uses the Part-of-Speech (POS) dependency to calculate two sentences syntactic structure similarity, and then through the word vector to calculate two sentences semantic similarity. Finally, we combine the two methods to calculate two Thai language sentences similarity. The proposed method not only considers semantic, but also considers the sentence syntactic structure. The experiment result shows that this method in Thai language sentence similarity computation is feasible.

Concept-based query language approach to enterprise information systems

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Niemi, Timo; Junkkari, Marko; Järvelin, Kalervo

2014-01-01

In enterprise information systems (EISs) it is necessary to model, integrate and compute very diverse data. In advanced EISs the stored data often are based both on structured (e.g. relational) and semi-structured (e.g. XML) data models. In addition, the ad hoc information needs of end-users may require the manipulation of data-oriented (structural), behavioural and deductive aspects of data. Contemporary languages capable of treating this kind of diversity suit only persons with good programming skills. In this paper we present a concept-oriented query language approach to manipulate this diversity so that the programming skill requirements are considerably reduced. In our query language, the features which need technical knowledge are hidden in application-specific concepts and structures. Therefore, users need not be aware of the underlying technology. Application-specific concepts and structures are represented by the modelling primitives of the extended RDOOM (relational deductive object-oriented modelling) which contains primitives for all crucial real world relationships (is-a relationship, part-of relationship, association), XML documents and views. Our query language also supports intensional and extensional-intensional queries, in addition to conventional extensional queries. In its query formulation, the end-user combines available application-specific concepts and structures through shared variables.

The role of basal ganglia in language production: evidence from Parkinson's disease.

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Macoir, Joël; Fossard, Marion; Mérette, Chantal; Langlois, Mélanie; Chantal, Sophie; Auclair-Ouellet, Noémie

2013-01-01

According to the dominant view in the literature, basal ganglia do not play a direct role in language but are involved in cognitive control required by linguistic and non-linguistic processing. In Parkinson's disease, basal ganglia impairment leads to motor symptoms and language deficits; those affecting the production of verbs have been frequently explored. According to a controversial theory, basal ganglia play a specific role in the conjugation of regular verbs as compared to irregular verbs. We report the results of 15 patients with Parkinson's disease in experimental conjugation tasks. They performed below healthy controls but their performance did not differ for regular and irregular verbs. These results confirm that basal ganglia are involved in language processing but do not play a specific role in verb production.

Game Based Language Learning for Bilingual Adults

DEFF Research Database (Denmark)

Hautopp, Heidi; Hanghøj, Thorkild

2014-01-01

experiences with the central goals in communicative language teaching (CLT). The paper is based on a study of The Danish Simulator when integrated in a game‐based language course with 15 students at a language center in Copenhagen during spring, 2013. The Danish Simulator consists of language drills......, the analysis presents preliminary findings in relation to students’ different experiences of The Danish Simulator and the teacher’s redesign of the game based teaching. It is concluded that the meaningful use of The Danish Simulator in a game‐based language course for bilingual adults depends on the students......What happens when a single‐player training game enters a classroom context? The use of training activities in game‐based learning (GBL) has often been criticized for letting players perform mechanical operations with no reflection upon the learning experiences involved (e.g. Egenfeldt‐Nielsen, 2005...

The role of language in international migration

DEFF Research Database (Denmark)

Adsera, Alicia; Pytlikova, Mariola

Fluency in (or ease to quickly learn) the language of the destination country plays a key role in the transfer of human capital from the source country to another country and boosts the immigrant’s rate of success at the destination’s labor market. This suggests that the ability to learn and spea...

The Role of Morphology in Word Recognition of Hebrew as a Templatic Language

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Oganyan, Marina

2017-01-01

Research on recognition of complex words has primarily focused on affixational complexity in concatenative languages. This dissertation investigates both templatic and affixational complexity in Hebrew, a templatic language, with particular focus on the role of the root and template morphemes in recognition. It also explores the role of morphology…

Implementation of a Goal-Based Systems Engineering Process Using the Systems Modeling Language (SysML)

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Breckenridge, Jonathan T.; Johnson, Stephen B.

2013-01-01

Building upon the purpose, theoretical approach, and use of a Goal-Function Tree (GFT) being presented by Dr. Stephen B. Johnson, described in a related Infotech 2013 ISHM abstract titled "Goal-Function Tree Modeling for Systems Engineering and Fault Management", this paper will describe the core framework used to implement the GFTbased systems engineering process using the Systems Modeling Language (SysML). These two papers are ideally accepted and presented together in the same Infotech session. Statement of problem: SysML, as a tool, is currently not capable of implementing the theoretical approach described within the "Goal-Function Tree Modeling for Systems Engineering and Fault Management" paper cited above. More generally, SysML's current capabilities to model functional decompositions in the rigorous manner required in the GFT approach are limited. The GFT is a new Model-Based Systems Engineering (MBSE) approach to the development of goals and requirements, functions, and its linkage to design. As a growing standard for systems engineering, it is important to develop methods to implement GFT in SysML. Proposed Method of Solution: Many of the central concepts of the SysML language are needed to implement a GFT for large complex systems. In the implementation of those central concepts, the following will be described in detail: changes to the nominal SysML process, model view definitions and examples, diagram definitions and examples, and detailed SysML construct and stereotype definitions.

The Role of Audiovisual Mass Media News in Language Learning

Science.gov (United States)

Bahrani, Taher; Sim, Tam Shu

2011-01-01

The present paper focuses on the role of audio/visual mass media news in language learning. In this regard, the two important issues regarding the selection and preparation of TV news for language learning are the content of the news and the linguistic difficulty. Content is described as whether the news is specialized or universal. Universal…

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

Directory of Open Access Journals (Sweden)

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.

Chinese language teachers’ beliefs about their roles in the Danish context

DEFF Research Database (Denmark)

Wang, Li; Du, Xiangyun

2016-01-01

This paper focuses on how teachers of Chinese as a foreign language (CFL) perceive their roles in the Danish context. In this qualitative study of twelve native and non-native Chinese-speaking language teachers, empirical data was collected from semi-structured interviews and classroom observations...

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.

Integrating source-language context into phrase-based statistical machine translation

NARCIS (Netherlands)

Haque, R.; Kumar Naskar, S.; Bosch, A.P.J. van den; Way, A.

2011-01-01

The translation features typically used in Phrase-Based Statistical Machine Translation (PB-SMT) model dependencies between the source and target phrases, but not among the phrases in the source language themselves. A swathe of research has demonstrated that integrating source context modelling

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…

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…

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.

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.

Towards an agent-oriented programming language based on Scala

Science.gov (United States)

Mitrović, Dejan; Ivanović, Mirjana; Budimac, Zoran

2012-09-01

Scala and its multi-threaded model based on actors represent an excellent framework for developing purely reactive agents. This paper presents an early research on extending Scala with declarative programming constructs, which would result in a new agent-oriented programming language suitable for developing more advanced, BDI agent architectures. The main advantage the new language over many other existing solutions for programming BDI agents is a natural and straightforward integration of imperative and declarative programming constructs, fitted under a single development framework.

The role of metaphors in the language of investment banking

Directory of Open Access Journals (Sweden)

Magdalena Bielenia-Grajewska

2009-04-01

Full Text Available The language of economics has been one of the author’s interests for some years. To narrow the scope of the research, the language of investment banking will be discussed in depth. Investment banking is a developing domain within the sphere of banking and finance. Newly-created products and services may be complicated for inexperienced investors, thus their names should sound familiar and explain the purpose of a given entity by referring to some well-known concepts. In this case, metaphors play a crucial role. The aim of this paper is to discuss some metaphorical names in investment banking communication. The area of mergers and acquisitions is studied in great detail because of its metaphorical character. The compiled corpus will be investigated by taking into consideration the following languages: English, German, Spanish and Polish. The aim of this linguistic distinction is to show differences as well as similarities in the investment banking lexicon in the above-mentioned languages. After briefly summarising the results of the research conducted, the article will end with an attempt to predict the future situation of metaphors and their role in investment banking communication.

Speech-language therapy for adolescents with written-language difficulties: The South African context

Directory of Open Access Journals (Sweden)

Danel Erasmus

2013-11-01

Method: A survey study was conducted, using a self-administered questionnaire. Twenty-two currently practising speech-language therapists who are registered members of the South African Speech-Language-Hearing Association (SASLHA participated in the study. Results: The respondents indicated that they are aware of their role regarding adolescents with written-language difficulties. However, they feel that South-African speech-language therapists are not fulfilling this role. Existing assessment tools and interventions for written-language difficulties are described as inadequate, and culturally and age inappropriate. Yet, the majority of the respondents feel that they are adequately equipped to work with adolescents with written-language difficulties, based on their own experience, self-study and secondary training. The respondents feel that training regarding effective collaboration with teachers is necessary to establish specific roles, and to promote speech-language therapy for adolescents among teachers. Conclusion: Further research is needed in developing appropriate assessment and intervention tools as well as improvement of training at an undergraduate level.

The role of affordances in Libras acquisition as second language

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Jéssica Puhl

2016-05-01

Full Text Available Libras is a visual-spatial language used by the Brazilian deaf community. Following the principles of spatiality and vision, the user of the sign language resorts more easily to stimuli from the environment than the user of the oral language. Thus, the hypothesis of this research is that the affordances (environmental properties that enable psychologically possible actions would be a facilitator element in the process of Libras acquisition. In this paper we use the narrative and interpretive-qualitative research to discuss the role of affordances in the listener perception, interpretation and action cycle in Libras acquisition as second language. Results show that the Libras’ iconic signs can be considered important affordances in the early stages of the acquisition. It is also observed the importance of the permanence in the niche where Libras is used for the sign language development.

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.

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

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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

Multi-Domain Modeling Based on Modelica

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Liu Jun

2016-01-01

Full Text Available With the application of simulation technology in large-scale and multi-field problems, multi-domain unified modeling become an effective way to solve these problems. This paper introduces several basic methods and advantages of the multidisciplinary model, and focuses on the simulation based on Modelica language. The Modelica/Mworks is a newly developed simulation software with features of an object-oriented and non-casual language for modeling of the large, multi-domain system, which makes the model easier to grasp, develop and maintain.It This article shows the single degree of freedom mechanical vibration system based on Modelica language special connection mechanism in Mworks. This method that multi-domain modeling has simple and feasible, high reusability. it closer to the physical system, and many other advantages.

Gesture's role in speaking, learning, and creating language.

Science.gov (United States)

Goldin-Meadow, Susan; Alibali, Martha Wagner

2013-01-01

When speakers talk, they gesture. The goal of this review is to investigate the contribution that these gestures make to how we communicate and think. Gesture can play a role in communication and thought at many timespans. We explore, in turn, gesture's contribution to how language is produced and understood in the moment; its contribution to how we learn language and other cognitive skills; and its contribution to how language is created over generations, over childhood, and on the spot. We find that the gestures speakers produce when they talk are integral to communication and can be harnessed in a number of ways. (a) Gesture reflects speakers' thoughts, often their unspoken thoughts, and thus can serve as a window onto cognition. Encouraging speakers to gesture can thus provide another route for teachers, clinicians, interviewers, etc., to better understand their communication partners. (b) Gesture can change speakers' thoughts. Encouraging gesture thus has the potential to change how students, patients, witnesses, etc., think about a problem and, as a result, alter the course of learning, therapy, or an interchange. (c) Gesture provides building blocks that can be used to construct a language. By watching how children and adults who do not already have a language put those blocks together, we can observe the process of language creation. Our hands are with us at all times and thus provide researchers and learners with an ever-present tool for understanding how we talk and think.

The logical foundations of scientific theories languages, structures, and models

CERN Document Server

Krause, Decio

2016-01-01

This book addresses the logical aspects of the foundations of scientific theories. Even though the relevance of formal methods in the study of scientific theories is now widely recognized and regaining prominence, the issues covered here are still not generally discussed in philosophy of science. The authors focus mainly on the role played by the underlying formal apparatuses employed in the construction of the models of scientific theories, relating the discussion with the so-called semantic approach to scientific theories. The book describes the role played by this metamathematical framework in three main aspects: considerations of formal languages employed to axiomatize scientific theories, the role of the axiomatic method itself, and the way set-theoretical structures, which play the role of the models of theories, are developed. The authors also discuss the differences and philosophical relevance of the two basic ways of aximoatizing a scientific theory, namely Patrick Suppes’ set theoretical predicate...

SBML-PET-MPI: a parallel parameter estimation tool for Systems Biology Markup Language based models.

Science.gov (United States)

Zi, Zhike

2011-04-01

Parameter estimation is crucial for the modeling and dynamic analysis of biological systems. However, implementing parameter estimation is time consuming and computationally demanding. Here, we introduced a parallel parameter estimation tool for Systems Biology Markup Language (SBML)-based models (SBML-PET-MPI). SBML-PET-MPI allows the user to perform parameter estimation and parameter uncertainty analysis by collectively fitting multiple experimental datasets. The tool is developed and parallelized using the message passing interface (MPI) protocol, which provides good scalability with the number of processors. SBML-PET-MPI is freely available for non-commercial use at http://www.bioss.uni-freiburg.de/cms/sbml-pet-mpi.html or http://sites.google.com/site/sbmlpetmpi/.

Language in education and the role of applied linguistics in Kenya ...

African Journals Online (AJOL)

Language in education and the role of applied linguistics in Kenya. ... Several problems that Africa and Kenya in particular, faces are closely tied to the language of education. What is the nature of ... Although no solutions are suggested to these problems, a list of questions is formulated for the applied linguist to research on.

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.

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...

Co-Working: Parents' Conception of Roles in Supporting Their Children's Speech and Language Development

Science.gov (United States)

Davies, Karen E.; Marshall, Julie; Brown, Laura J. E.; Goldbart, Juliet

2017-01-01

Speech and language therapists' (SLTs) roles include enabling parents to provide intervention. We know little about how parents understand their role during speech and language intervention or whether these change during involvement with SLTs. The theory of conceptual change, applied to parents as adult learners, is used as a framework for…

The Role of Culture in the Language Classroom.

Science.gov (United States)

Dwyer, David; Folarin-Schleicher, Antonia; Moshi, Lioba

1999-01-01

Discusses the role of culture in second language instruction; Examines properties of culture, culture as a product of human activity, culture as a shared product, culture as an artificial product, cultural diversity, cultural relativism, cultural sensitivity, and stages of cultural awareness. Focuses on how to teach cultural knowledge, and the…

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.

THE TASK-BASED APPROACH IN LANGUAGE TEACHING

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Aquilino Sánchez

2004-06-01

Full Text Available The Task-Based Approach (TBA has gained popularity in the field of language teaching since the last decade of the 20th Century and significant scholars have joined the discussion and increased the amount of analytical studies on the issue. Nevertheless experimental research is poor, and the tendency of some of the scholars is nowadays shifting towards a more tempered and moderate stand on their claims. Reasons for that are various: the difficulty in the implementation of the method in the classroom, the difficulty in elaborating materials following the TBA and the scarcity of task-based manuals count as important and perhaps decisive arguments. But there are also theoretical implications in the TBA which do not seem to be fully convincing or may lack sound foundations. In this paper I will attempt to describe the TBA criticaIly, pointing out what I consider positive in this approach, and underlining the inadequacy of some assumptions and conclusions. The design of a new TBA model is not the goal of this study. But the conclusions suggest that tasks may contribute to the production of a more refined and complete foreign language syllabus, helping to motivate the students and focus the attention of teachers and learners on meaning and communicative language use.

Owner-Based Role-Based Access Control OB-RBAC

NARCIS (Netherlands)

Saffarian, M.; Sadighi, Babak

Administration of an access control model deals with the question of who is authorized to update policies defined on the basis of that model. One of the models whose administration has absorbed relatively large research is the Role-Based Access Control (RBAC) model. All the existing role-based

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...

Modelling and simulating decision processes of linked lives: An approach based on concurrent processes and stochastic race.

Science.gov (United States)

Warnke, Tom; Reinhardt, Oliver; Klabunde, Anna; Willekens, Frans; Uhrmacher, Adelinde M

2017-10-01

Individuals' decision processes play a central role in understanding modern migration phenomena and other demographic processes. Their integration into agent-based computational demography depends largely on suitable support by a modelling language. We are developing the Modelling Language for Linked Lives (ML3) to describe the diverse decision processes of linked lives succinctly in continuous time. The context of individuals is modelled by networks the individual is part of, such as family ties and other social networks. Central concepts, such as behaviour conditional on agent attributes, age-dependent behaviour, and stochastic waiting times, are tightly integrated in the language. Thereby, alternative decisions are modelled by concurrent processes that compete by stochastic race. Using a migration model, we demonstrate how this allows for compact description of complex decisions, here based on the Theory of Planned Behaviour. We describe the challenges for the simulation algorithm posed by stochastic race between multiple concurrent complex decisions.

The Role of Language in Shaping International Migration

DEFF Research Database (Denmark)

Adsera, Alicia; Pytlikova, Mariola

Fluency in (or ease to quickly learn) the language of the destination country plays a key role in the transfer of human capital from the source country to another country and boosts the immigrant’s rate of success at the destination’s labor market. This suggests that the ability to learn and spea...

Animal-Assisted Therapy for persons with disabilities based on canine tail language interpretation via fuzzy emotional behavior model.

Science.gov (United States)

Phanwanich, Warangkhana; Kumdee, Orrawan; Ritthipravat, Panrasee; Wongsawat, Yodchanan

2011-01-01

Animal-Assisted Therapy (AAT) is the science that employs the merit of human-animal interaction to alleviate mental and physical problems of persons with disabilities. However, to achieve the goal of AAT for persons with severe disabilities (e.g. spinal cord injury and amyotrophic lateral sclerosis), real-time animal language interpretation is needed. Since canine behaviors can be visually distinguished from its tail, this paper proposes the automatic real-time interpretation of canine tail language for human-canine interaction in the case of persons with severe disabilities. Canine tail language is captured via two 3-axis accelerometers. Directions and frequency are selected as our features of interests. New fuzzy rules and center of gravity (COG)-based defuzzification method are proposed in order to interpret the features into three canine emotional behaviors, i.e., agitate, happy, and scare as well as its blended emotional behaviors. The emotional behavior model is performed in the simulated dog. The average recognition rate in real dog is 93.75% accuracy.

Employing mobile technology to improve language skills of young students with language-based disabilities.

Science.gov (United States)

Rodríguez, Cathi Draper; Cumming, Therese M

2017-01-01

This exploratory study investigated the effects of a language building iPad application on the language skills (i.e., receptive vocabulary, expressive vocabulary, and sentence formation) of young students with language-based disabilities. The study utilized a pre-test-post-test control group design. Students in the treatment group used the iPad language building application, Language Builder, for 30 minutes a day. Participants were 31 first-grade to third-grade students with identified language-based disabilities. Students were assigned to two groups for the 8-week intervention. Data indicated that students in the treatment group made significantly greater gains in the area of sentence formation than the control group. Results revealed no significant difference between the two groups in the areas of expressive and receptive vocabulary. A short intervention of using Language Builder via the iPad may increase the sentence formation skills of young students with language delays. Additionally, discussion regarding the usefulness of iPad applications in education is presented.

An Overview of Computer-Based Natural Language Processing.

Science.gov (United States)

Gevarter, William B.

Computer-based Natural Language Processing (NLP) is the key to enabling humans and their computer-based creations to interact with machines using natural languages (English, Japanese, German, etc.) rather than formal computer languages. NLP is a major research area in the fields of artificial intelligence and computational linguistics. Commercial…

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.

A test of the California competency-based differentiated role model.

Science.gov (United States)

Keating, Sarah B; Rutledge, Dana N; Sargent, Arlene; Walker, Polly

2003-01-01

To address the incongruence between the expectations of nursing service and education in California, the Education Industry Interface Task Force of the California Strategic Planning Committee for Nursing developed descriptions to assist employers and educators in clearly differentiating practice and educational competencies. The completion of the Competency-Based Role Differentiation Model resulted in the need to test the model for its utility in the service setting, in education, and for career planning for nurses. Three alpha demonstration sites were selected based on representative geographical regions of California. The sites were composed of tri-partnerships consisting of a medical center, an associate degree in nursing program, and a baccalaureate nursing program. Observers rated senior students and new graduates in medical-surgical units on their behaviors in teacher and leadership care provider and care coordinator roles. The alpha demonstration study results were as expected. That is, senior students practice predominantly at a novice level in teacher and management/leadership care provider functions and new graduates practice predominately at the competent level. New graduates are more likely to take on novice and competent care coordinator roles. The CBRDM may be useful for practice and education settings to evaluate student and nurse performance, to define role expectations, and to identify the preparation necessary for the roles. It is useful for all of nursing as it continues to define its levels of practice and their relationship to on-the-job performance, curriculum development, and carrier planning.

Using Network-Based Language Analysis to Bridge Expertise and Cultivate Sensitivity to Differentiated Language Use in Interdisciplinary Geoscience Research

Science.gov (United States)

Hannah, M. A.; Simeone, M.

2017-12-01

On interdisciplinary teams, expertise is varied, as is evidenced by differences in team members' language use. Developing strategies to combine that expertise and bridge differentiated language practices is especially difficult between geoscience subdisciplines as researchers assume they use a shared language—vocabulary, jargon, codes, linguistic styles. In our paper, we discuss a network-based approach used to identify varied expertise and language practices between geoscientists (n=29) on a NSF team funded to study how deep and surface Earth processes worked together to give rise to the Great Oxygenation Event. We describe how we modeled the team's expertise from a language corpus consisting of 220 oxygen-related terms frequently used by team members and then compared their understanding of the terms to develop interventions to bridge the team's expertise. Corpus terms were identified via team member interviews, observations of members' interactions at research meetings, and discourse analysis of members' publications. Comparisons of members' language use were based on a Likert scale survey that asked members to assess how they understood a term; how frequently they used a term; and whether they conceptualized a term as an object or process. Rather than use our method as a communication audit tool (Zwijze-Koning & de Jong, 2015), teams can proactively use it in a project's early stages to assess the contours of the team's differentiated expertise and show where specialized knowledge resides in the team, where latent or non-obvious expertise exists, where expertise overlaps, and where gaps are in the team's knowledge. With this information, teams can make evidence based recommendations to forward their work such as allocating resources; identifying and empowering members to serve as connectors and lead cross-functional project initiatives; and developing strategies to avoid communication barriers. The method also generates models for teaching language

Examining the Role of Orthographic Coding Ability in Elementary Students with Previously Identified Reading Disability, Speech or Language Impairment, or Comorbid Language and Learning Disabilities

Science.gov (United States)

Haugh, Erin Kathleen

2017-01-01

The purpose of this study was to examine the role orthographic coding might play in distinguishing between membership in groups of language-based disability types. The sample consisted of 36 second and third-grade subjects who were administered the PAL-II Receptive Coding and Word Choice Accuracy subtest as a measure of orthographic coding…

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.

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.

Binding Task-Based Language Teaching and Task-Based Language Testing: A Survey into EFL Teachers and Learners' Views of Task-Based Approach

Science.gov (United States)

Panahi, Ali

2012-01-01

In most settings, task-based language teaching and testing have been dissociated from each other. That is why this study came to rethink of the learners' views towards awareness and implementation of task-based language teaching through IELTS listening tasks. To these objectives, after sketching instrumentation, the learners were divided into…

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;

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.)

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...

Sesotho Online : Establishing an internet-based language ...

African Journals Online (AJOL)

It is against this background that the status, presentation and representation of African languages are being investigated. This article reports on the contribution of the website Sesotho Online to the establishment of an internet-based language knowledge community for the Sesotho language. In its literature review the article ...

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.

Language-based support for service oriented architectures

DEFF Research Database (Denmark)

Giambiagi, Pablo; Owe, Olaf; Ravn, Anders Peter

2006-01-01

The fast evolution of the Internet has popularized service-oriented architectures (SOA) with their promise of dynamic IT-supported inter-business collaborations. Yet this popularity does not reflect on the number of actual applications using the architecture. Programming models in use today make...... a poor match for the distributed, loosely-coupled, document-based nature of SOA. The gap is actually increasing. For example, interoperability between different organizations, requires contracts to reduce risks. Thus, high-level models of contracts are making their way into service-oriented architectures......, but application developers are still left to their own devices when it comes to writing code that will comply with a contract. This paper surveys existing and future directions regarding language-based solutions to the above problem....

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.

Curriculum-Based Language Assessment With Culturally and Linguistically Diverse Students in the Context of Mathematics.

Science.gov (United States)

Newkirk-Turner, Brandi L; Johnson, Valerie E

2018-04-05

The purpose of this tutorial is to discuss the use of curriculum-based language assessment (CBLA) with students who are English language learners and students who speak nonmainstream varieties of English, such as African American English. The article begins with a discussion of the discourse of mathematics and the role of the speech-language pathologist (SLP), followed by a review of studies that includes those that examined the performance of English language learner and nonmainstream dialect-speaking students on word-based math items. The literature review highlights the linguistic and content biases associated with word-based math problems. Useful strategies that SLPs and educators can incorporate in culturally and linguistically appropriate assessments are discussed. The tutorial ends with a discussion of CBLA as a viable assessment approach to use with culturally and linguistically diverse students. Tests used at national, state, and school levels to assess students' math abilities have associated linguistic bias and content bias often leading to an inaccurate depiction of culturally and linguistically diverse students' math skills. CBLA as an assessment method can be used by school-based SLPs to gather valid and useful information about culturally and linguistically diverse students' language for learning math. By using CBLA, SLPs can help modify curricular tasks in broader contexts in an effort to make math, including high-level math, "accessible and achievable for all" students (American Speech-Language-Hearing Association, 2017).

The Role of Syllables in Intermediate-Depth Stress-Timed Languages: Masked Priming Evidence in European Portuguese

Science.gov (United States)

Campos, Ana Duarte; Mendes Oliveira, Helena; Soares, Ana Paula

2018-01-01

The role of syllables as a sublexical unit in visual word recognition and reading is well established in deep and shallow syllable-timed languages such as French and Spanish, respectively. However, its role in intermediate stress-timed languages remains unclear. This paper aims to overcome this gap by studying for the first time the role of…

Does linguistic input play the same role in language learning for children with and without early brain injury?

Science.gov (United States)

Rowe, Meredith L; Levine, Susan C; Fisher, Joan A; Goldin-Meadow, Susan

2009-01-01

Children with unilateral pre- or perinatal brain injury (BI) show remarkable plasticity for language learning. Previous work highlights the important role that lesion characteristics play in explaining individual variation in plasticity in the language development of children with BI. The current study examines whether the linguistic input that children with BI receive from their caregivers also contributes to this early plasticity, and whether linguistic input plays a similar role in children with BI as it does in typically developing (TD) children. Growth in vocabulary and syntactic production is modeled for 80 children (53 TD, 27 BI) between 14 and 46 months. Findings indicate that caregiver input is an equally potent predictor of vocabulary growth in children with BI and in TD children. In contrast, input is a more potent predictor of syntactic growth for children with BI than for TD children. Controlling for input, lesion characteristics (lesion size, type, seizure history) also affect the language trajectories of children with BI. Thus, findings illustrate how both variability in the environment (linguistic input) and variability in the organism (lesion characteristics) work together to contribute to plasticity in language learning.

Natural language interface for nuclear data bases

International Nuclear Information System (INIS)

Heger, A.S.; Koen, B.V.

1987-01-01

A natural language interface has been developed for access to information from a data base, simulating a nuclear plant reliability data system (NPRDS), one of the several existing data bases serving the nuclear industry. In the last decade, the importance of information has been demonstrated by the impressive diffusion of data base management systems. The present methods that are employed to access data bases fall into two main categories of menu-driven systems and use of data base manipulation languages. Both of these methods are currently used by NPRDS. These methods have proven to be tedious, however, and require extensive training by the user for effective utilization of the data base. Artificial intelligence techniques have been used in the development of several intelligent front ends for data bases in nonnuclear domains. Lunar is a natural language program for interface to a data base describing moon rock samples brought back by Apollo. Intellect is one of the first data base question-answering systems that was commercially available in the financial area. Ladder is an intelligent data base interface that was developed as a management aid to Navy decision makers. A natural language interface for nuclear data bases that can be used by nonprogrammers with little or no training provides a means for achieving this goal for this industry

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.

Web-Based Language Learning Perception and Personality Characteristics of University Students

Science.gov (United States)

Mirzaee, Meisam; Gharibeh, Sajjad Gharibeh

2016-01-01

The significance of learners' personality in language learning/teaching contexts has often been cited in literature but few studies have scrutinized the role it can play in technology-oriented language classes. In modern language teaching/learning contexts, personality differences are important and should be taken into account. This study…

The role of early language abilities on math skills among Chinese children.

Directory of Open Access Journals (Sweden)

Juan Zhang

Full Text Available The present study investigated the role of early language abilities in the development of math skills among Chinese K-3 students. About 2000 children in China, who were on average aged 6 years, were assessed for both informal math (e.g., basic number concepts such as counting objects and formal math (calculations including addition and subtraction skills, language abilities and nonverbal intelligence.Correlation analysis showed that language abilities were more strongly associated with informal than formal math skills, and regression analyses revealed that children's language abilities could uniquely predict both informal and formal math skills with age, gender, and nonverbal intelligence controlled. Mediation analyses demonstrated that the relationship between children's language abilities and formal math skills was partially mediated by informal math skills.The current findings indicate 1 Children's language abilities are of strong predictive values for both informal and formal math skills; 2 Language abilities impacts formal math skills partially through the mediation of informal math skills.

The Impacts of Theme-Based Language Instruction: A Case Study of an Advanced Chinese Intensive Program

Directory of Open Access Journals (Sweden)

Song Jiang

2017-06-01

Full Text Available Theme-based language teaching under Content-Based Instruction (CBI is a pedagogical approach that emphasizes learning professional content along with language skills. This paper reports a case study on the impacts of a theme-based advanced Chinese intensive program in a university setting. It begins with a review of CBI and its theme-based approach and then discusses the program design, curriculum development, and instructional practice of the program. The impacts of the theme-based approach are examined based on the pre- and post-proficiency test results, learners’ self-reported surveys on the themes and topics, and the reading strategies covered in the program. Qualitative analysis of learners’ self-reflections and program evaluations is also presented. Based on the evidence collected, this paper argues that the theme-based model has positive impacts on improving language proficiency, preparing for academic and professional language use, cultivating strategic language learners, and revitalizing Chinese teaching at the superior level.

Assessment and Intervention for English Language Learners with Primary Language Impairment: Research-Based Best Practices

Science.gov (United States)

Pieretti, Robert A.; Roseberry-McKibbin, Celeste

2016-01-01

Speech-language pathologists (SLPs) are experiencing the exciting challenge of serving increasing numbers of English Language Learners (ELLs) in U.S. schools. When ELLs struggle in school, they may be overreferred for speech-language services. SLPs are routinely expected to differentiate a language difference based on cultural, linguistic, and…

The role of the cerebellum in the regulation of language functions.

Science.gov (United States)

Starowicz-Filip, Anna; Chrobak, Adrian Andrzej; Moskała, Marek; Krzyżewski, Roger M; Kwinta, Borys; Kwiatkowski, Stanisław; Milczarek, Olga; Rajtar-Zembaty, Anna; Przewoźnik, Dorota

2017-08-29

The present paper is a review of studies on the role of the cerebellum in the regulation of language functions. This brain structure until recently associated chiefly with motor skills, visual-motor coordination and balance, proves to be significant also for cognitive functioning. With regard to language functions, studies show that the cerebellum determines verbal fluency (both semantic and formal) expressive and receptive grammar processing, the ability to identify and correct language mistakes, and writing skills. Cerebellar damage is a possible cause of aphasia or the cerebellar mutism syndrome (CMS). Decreased cerebellocortical connectivity as well as anomalies in the structure of the cerebellum are emphasized in numerous developmental dyslexia theories. The cerebellum is characterized by linguistic lateralization. From the neuroanatomical perspective, its right hemisphere and dentate nucleus, having multiple cerebellocortical connections with the cerebral cortical language areas, are particularly important for language functions. Usually, language deficits developed as a result of a cerebellar damage have subclinical intensity and require applying sensitive neuropsychological diagnostic tools designed to assess higher verbal functions.

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...

A Role Model Mother/caregiver Programme to Expand Home-based ...

African Journals Online (AJOL)

In Nigeria, a Role Model Mother/Caregiver (RMM/C) programme was initiated by the National Malaria Control Programme (NMCP) to provide home-based management of malaria. Criteria for RMM/C selection were developed centrally by the Nigerian NMCP for community use. RMM/Cs were identified and recruited by the ...

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....

Language Ideologies of Arizona Voters, Language Managers, and Teachers

Science.gov (United States)

Fitzsimmons-Doolan, Shannon

2014-01-01

Arizona is the site of many explicit language policies as well as ongoing scholarly discussions of related language ideologies--beliefs about the role of language in society. This study adds a critical piece to the investigation of the role of ideologies in language policy processes by thoroughly documenting language ideologies expressed by a…

Corpus-Based Investigations of Language Use.

Science.gov (United States)

Biber, Douglas; And Others

1996-01-01

Examines a representative text corpus to gain insights into language structure and use and to open new areas of linguistic inquiry. Various illustrations are presented that provide a glimpse into the value of corpus-based investigations for increasing one's understanding of language use and imparting insights important for designing effective…

Multilingual Education: The Role of Language Ideologies and Attitudes

Science.gov (United States)

Liddicoat, Anthony J.; Taylor-Leech, Kerry

2015-01-01

This paper overviews issues relating to the role of ideologies and attitudes in multilingual education (MLE). It argues that ideologies and attitudes are constituent parts of the language planning process and shape the possibilities for multilingualism in educational programmes in complex ways, but most frequently work to constrain the ways that…

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.

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.

Competing Roles of the National Language and English in Malaysia and the Philippines: Planning, Policy and Use

Directory of Open Access Journals (Sweden)

Francisco Perlas Dumanig

2012-10-01

Full Text Available This paper examines the impact of language planning and language policy in the competing roles of the national language and English in the educational system of Malaysia and the Philippines. These countries have emphasised the national language (i.e. Malay in Malaysia and Filipino in the Philippines to foster national unity, and the international language-English for global communication. Educational expansion as documented with globalisation has also repositioned the role of the English language. While English has become a necessary tool to increase competitiveness in the global market, calls to 'switch back' or 'retain' the national language to instil a sense of national unity has also been equally advocated. Although planning and policy may have specific objectives, these may not be reflected in actual language use. The findings of this study reveal the social reality of contrasting language planning and policy initiatives in Malaysia and the Philippines and the actual use of these languages.

Altered functional connectivity of the language network in ASD: Role of classical language areas and cerebellum☆

Science.gov (United States)

Verly, Marjolein; Verhoeven, Judith; Zink, Inge; Mantini, Dante; Peeters, Ronald; Deprez, Sabine; Emsell, Louise; Boets, Bart; Noens, Ilse; Steyaert, Jean; Lagae, Lieven; De Cock, Paul; Rommel, Nathalie; Sunaert, Stefan

2014-01-01

The development of language, social interaction and communicative skills is remarkably different in the child with autism spectrum disorder (ASD). Atypical brain connectivity has frequently been reported in this patient population. However, the neural correlates underlying their disrupted language development and functioning are still poorly understood. Using resting state fMRI, we investigated the functional connectivity properties of the language network in a group of ASD patients with clear comorbid language impairment (ASD-LI; N = 19) and compared them to the language related connectivity properties of 23 age-matched typically developing children. A verb generation task was used to determine language components commonly active in both groups. Eight joint language components were identified and subsequently used as seeds in a resting state analysis. Interestingly, both the interregional and the seed-based whole brain connectivity analysis showed preserved connectivity between the classical intrahemispheric language centers, Wernicke's and Broca's areas. In contrast however, a marked loss of functional connectivity was found between the right cerebellar region and the supratentorial regulatory language areas. Also, the connectivity between the interhemispheric Broca regions and modulatory control dorsolateral prefrontal region was found to be decreased. This disruption of normal modulatory control and automation function by the cerebellum may underlie the abnormal language function in children with ASD-LI. PMID:24567909

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

Science.gov (United States)

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.

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

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 ...

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

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.

The Role of Social Class in English Language Education

Science.gov (United States)

Vandrick, Stephanie

2014-01-01

English language educators are often advocates for social justice and often focus on learners' identities, such as their race, gender, and ethnicity; however, they tend not to employ a social class lens in analyzing students, teachers, classrooms, and institutions. Yet social class plays a significant, if unacknowledged, role in the field.…

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)

Semantic computing and language knowledge bases

Science.gov (United States)

Wang, Lei; Wang, Houfeng; Yu, Shiwen

2017-09-01

As the proposition of the next-generation Web - semantic Web, semantic computing has been drawing more and more attention within the circle and the industries. A lot of research has been conducted on the theory and methodology of the subject, and potential applications have also been investigated and proposed in many fields. The progress of semantic computing made so far cannot be detached from its supporting pivot - language resources, for instance, language knowledge bases. This paper proposes three perspectives of semantic computing from a macro view and describes the current status of affairs about the construction of language knowledge bases and the related research and applications that have been carried out on the basis of these resources via a case study in the Institute of Computational Linguistics at Peking University.

Web Based VRML Modelling

NARCIS (Netherlands)

Kiss, S.; Sarfraz, M.

2004-01-01

Presents a method to connect VRML (Virtual Reality Modeling Language) and Java components in a Web page using EAI (External Authoring Interface), which makes it possible to interactively generate and edit VRML meshes. The meshes used are based on regular grids, to provide an interaction and modeling

Communication and Gamification in the Web-Based Foreign Language Educational System: Web- Based Foreign Language Educational System

Science.gov (United States)

Osipov, Ilya V.; Volinsky, Alex A.; Nikulchev, Evgeny; Prasikova, Anna Y.

2016-01-01

The paper describes development of the educational online web communication platform for teaching and learning foreign languages. The main objective was to develop a web application for teaching foreigners to understand casual fluent speech. The system is based on the time bank principle, allowing users to teach others their native language along…

Resection of highly language-eloquent brain lesions based purely on rTMS language mapping without awake surgery.

Science.gov (United States)

Ille, Sebastian; Sollmann, Nico; Butenschoen, Vicki M; Meyer, Bernhard; Ringel, Florian; Krieg, Sandro M

2016-12-01

The resection of left-sided perisylvian brain lesions harbours the risk of postoperative language impairment. Therefore the individual patient's language distribution is investigated by intraoperative direct cortical stimulation (DCS) during awake surgery. Yet, not all patients qualify for awake surgery. Non-invasive language mapping by repetitive navigated transcranial magnetic stimulation (rTMS) has frequently shown a high correlation in comparison with the results of DCS language mapping in terms of language-negative brain regions. The present study analyses the extent of resection (EOR) and functional outcome of patients who underwent left-sided perisylvian resection of brain lesions based purely on rTMS language mapping. Four patients with left-sided perisylvian brain lesions (two gliomas WHO III, one glioblastoma, one cavernous angioma) underwent rTMS language mapping prior to surgery. Data from rTMS language mapping and rTMS-based diffusion tensor imaging fibre tracking (DTI-FT) were transferred to the intraoperative neuronavigation system. Preoperatively, 5 days after surgery (POD5), and 3 months after surgery (POM3) clinical follow-up examinations were performed. No patient suffered from a new surgery-related aphasia at POM3. Three patients underwent complete resection immediately, while one patient required a second rTMS-based resection some days later to achieve the final, complete resection. The present study shows for the first time the feasibility of successfully resecting language-eloquent brain lesions based purely on the results of negative language maps provided by rTMS language mapping and rTMS-based DTI-FT. In very select cases, this technique can provide a rescue strategy with an optimal functional outcome and EOR when awake surgery is not feasible.

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...

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...

Simulating the Effects of Cross-Generational Cultural Transmission on Language Change

Science.gov (United States)

Gong, Tao; Shuai, Lan

Language evolves in a socio-cultural environment. Apart from biological evolution and individual learning, cultural transmission also casts important influence on many aspects of language evolution. In this paper, based on the lexicon-syntax coevolution model, we extend the acquisition framework in our previous work to examine the roles of three forms of cultural transmission spanning the offspring, parent, and grandparent generations in language change. These transmissions are: those between the parent and offspring generations (PO), those within the offspring generation (OO), and those between the grandparent and offspring generations (GO). The simulation results of the considered model and relevant analyses illustrate not only the necessity of PO and OO transmissions for language change, thus echoing our previous findings, but also the importance of GO transmission, a form of cross-generational cultural transmission, on preserving the mutual understandability of the communal language across generations of individuals.

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

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.

Altered functional connectivity of the language network in ASD: Role of classical language areas and cerebellum

Directory of Open Access Journals (Sweden)

Marjolein Verly

2014-01-01

Full Text Available The development of language, social interaction and communicative skills is remarkably different in the child with autism spectrum disorder (ASD. Atypical brain connectivity has frequently been reported in this patient population. However, the neural correlates underlying their disrupted language development and functioning are still poorly understood. Using resting state fMRI, we investigated the functional connectivity properties of the language network in a group of ASD patients with clear comorbid language impairment (ASD-LI; N = 19 and compared them to the language related connectivity properties of 23 age-matched typically developing children. A verb generation task was used to determine language components commonly active in both groups. Eight joint language components were identified and subsequently used as seeds in a resting state analysis. Interestingly, both the interregional and the seed-based whole brain connectivity analysis showed preserved connectivity between the classical intrahemispheric language centers, Wernicke's and Broca's areas. In contrast however, a marked loss of functional connectivity was found between the right cerebellar region and the supratentorial regulatory language areas. Also, the connectivity between the interhemispheric Broca regions and modulatory control dorsolateral prefrontal region was found to be decreased. This disruption of normal modulatory control and automation function by the cerebellum may underlie the abnormal language function in children with ASD-LI.

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....

Present and Future Languages – How Innovation Has Changed Us

Directory of Open Access Journals (Sweden)

Manuel Luís Au-Yong-Oliveira

2015-07-01

Full Text Available Given the growth in usage of online social networks, such as Facebook, YouTube, Instagram and Snapchat, which rely on videos and images (such as photos to relay information between connections, new intuitive languages, though not yet formally recognized, have emerged. We also herein give the example of a new language we have created – the Business Narrative Modelling Language (BNML – which communicates business perspectives based on pictorial representations, supported by the narrative. Currently, the concept of language is linked to the use of words. We foresee that such a definition of language will have to change to include other structured forms of communication, resorting and relying on graphics, also. We give examples of BNML representations, with regards to two case studies we have performed, based on face-to-face interviews and company visits. At ExpressGlass technology plays an important role, while at Yazaki Saltano a remarkable team effort between Toyota suppliers is made evident, to create innovation.

An Approach to Enforcing Clark-Wilson Model in Role-based Access Control Model

Institute of Scientific and Technical Information of China (English)

LIANGBin; SHIWenchang; SUNYufang; SUNBo

2004-01-01

Using one security model to enforce another is a prospective solution to multi-policy support. In this paper, an approach to the enforcing Clark-Wilson data integrity model in the Role-based access control (RBAC) model is proposed. An enforcement construction with great feasibility is presented. In this construction, a direct way to enforce the Clark-Wilson model is provided, the corresponding relations among users, transformation procedures, and constrained data items are strengthened; the concepts of task and subtask are introduced to enhance the support to least-privilege. The proposed approach widens the applicability of RBAC. The theoretical foundation for adopting Clark-Wilson model in a RBAC system with small cost is offered to meet the requirements of multi-policy support and policy flexibility.

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…

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,

The Development of an Android-Based Anggah-Ungguhing Balinese Language Dictionary

Directory of Open Access Journals (Sweden)

I Made Agus Wirawan

2018-01-01

Full Text Available Indonesia is an archipelago country with a variety of local languages; one of which is Balinese (mother tongue, used by the Balinese people in daily life and in certain ritual ceremonies. In Universitas Pendidikan Ganesha, Department of Balinese Language Education, students have been given Anggah-Ungguhing in speaking subjects where they are taught to understand the use of Balinese language based on social strata.  But in the process of learning the Anggah-Ungguhing, there are some problems, including: 1 There is no media that supports learning of Anggah-Ungguhing vocabulary. 2 The motivation of students when learning Anggah-Ungguhing by using books is low. Based upon the analysis on the problems and previous researches, this study aims to: 1 Development of mobile dictionary to support the learning process Angggah - Ungguhing anywhere and anytime. 2 Measuring the level of student’s motivation are using mobile dictionary while learning vocabulary Anggah - Ungguhing. The method used in this research is Software Development Life Cycle (SDLC with Waterfall based model. Based on the results of tests that have been done, mobile dictionaries can be declared successfully developed based on user needs. In this research has distributed about 60 questionnaires to measure the level of student’s motivation who use mobile dictionaries on learning Anggah - Ungguhing Balinese language. The result of the student’s motivation measurement shows that the motivation of the students that the learns Anggah - Ungguhing Balinese languange using mobile dictionary is in the positive category.

Deep Neural Network-Based Chinese Semantic Role Labeling

Institute of Scientific and Technical Information of China (English)

ZHENG Xiaoqing; CHEN Jun; SHANG Guoqiang

2017-01-01

A recent trend in machine learning is to use deep architec-tures to discover multiple levels of features from data, which has achieved impressive results on various natural language processing (NLP) tasks. We propose a deep neural network-based solution to Chinese semantic role labeling (SRL) with its application on message analysis. The solution adopts a six-step strategy: text normalization, named entity recognition (NER), Chinese word segmentation and part-of-speech (POS) tagging, theme classification, SRL, and slot filling. For each step, a novel deep neural network - based model is designed and optimized, particularly for smart phone applications. Ex-periment results on all the NLP sub - tasks of the solution show that the proposed neural networks achieve state-of-the-art performance with the minimal computational cost. The speed advantage of deep neural networks makes them more competitive for large-scale applications or applications requir-ing real-time response, highlighting the potential of the pro-posed solution for practical NLP systems.

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...

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.

Presentation-Practice-Production and Task-Based Learning in the Light of Second Language Learning Theories.

Science.gov (United States)

Ritchie, Graeme

2003-01-01

Features of presentation-practice-production (PPP) and task-based learning (TBL) models for language teaching are discussed with reference to language learning theories. Pre-selection of target structures, use of controlled repetition, and explicit grammar instruction in a PPP lesson are given. Suggests TBL approaches afford greater learning…

A Project-Based Language Learning Model for Improving the Willingness to Communicate of EFL Students

Directory of Open Access Journals (Sweden)

Ibrahim Farouck

2016-04-01

Full Text Available Anxiety and inadequate motivation due to misapplication of some language teaching methodologies and learning materials have been shown to affect the Willingness to Communicate of students in EFL programs. This study used a Project-Based Language Learning to improve learning motivation and content relevance. Students were grouped into pairs to conduct fieldwork activities on their chosen topics and learned the English language that was suitable for describing their activities and outcomes. They interacted with content and peers through Web 2.0 environments. In the classroom, they engaged in communicative tasks in a jigsaw format and presented their projects where their peers used an online rubric and forum to give feedback. They also participated in a speech contest with peers outside their class or from another university in order to broaden their confidence. Findings from this study show that students were able to develop the language and evaluation skills for presentation. Additionally, they indicated a reduction in communication anxiety.

Schooling in American Sign Language: A Paradigm Shift from a Deficit Model to a Bilingual Model in Deaf Education

Science.gov (United States)

Humphries, Tom

2013-01-01

Deaf people have long held the belief that American Sign Language (ASL) plays a significant role in the academic development of deaf children. Despite this, the education of deaf children has historically been exclusive of ASL and constructed as an English-only, deficit-based pedagogy. Newer research, however, finds a strong correlation between…

From Mimicry to Language: A Neuroanatomically Based Evolutionary Model of the Emergence of Vocal Language

Science.gov (United States)

Poliva, Oren

2016-01-01

The auditory cortex communicates with the frontal lobe via the middle temporal gyrus (auditory ventral stream; AVS) or the inferior parietal lobule (auditory dorsal stream; ADS). Whereas the AVS is ascribed only with sound recognition, the ADS is ascribed with sound localization, voice detection, prosodic perception/production, lip-speech integration, phoneme discrimination, articulation, repetition, phonological long-term memory and working memory. Previously, I interpreted the juxtaposition of sound localization, voice detection, audio-visual integration and prosodic analysis, as evidence that the behavioral precursor to human speech is the exchange of contact calls in non-human primates. Herein, I interpret the remaining ADS functions as evidence of additional stages in language evolution. According to this model, the role of the ADS in vocal control enabled early Homo (Hominans) to name objects using monosyllabic calls, and allowed children to learn their parents' calls by imitating their lip movements. Initially, the calls were forgotten quickly but gradually were remembered for longer periods. Once the representations of the calls became permanent, mimicry was limited to infancy, and older individuals encoded in the ADS a lexicon for the names of objects (phonological lexicon). Consequently, sound recognition in the AVS was sufficient for activating the phonological representations in the ADS and mimicry became independent of lip-reading. Later, by developing inhibitory connections between acoustic-syllabic representations in the AVS and phonological representations of subsequent syllables in the ADS, Hominans became capable of concatenating the monosyllabic calls for repeating polysyllabic words (i.e., developed working memory). Finally, due to strengthening of connections between phonological representations in the ADS, Hominans became capable of encoding several syllables as a single representation (chunking). Consequently, Hominans began vocalizing and

GRAMMAR RULE BASED INFORMATION RETRIEVAL MODEL FOR BIG DATA

Directory of Open Access Journals (Sweden)

T. Nadana Ravishankar

2015-07-01

Full Text Available Though Information Retrieval (IR in big data has been an active field of research for past few years; the popularity of the native languages presents a unique challenge in big data information retrieval systems. There is a need to retrieve information which is present in English and display it in the native language for users. This aim of cross language information retrieval is complicated by unique features of the native languages such as: morphology, compound word formations, word spelling variations, ambiguity, word synonym, other language influence and etc. To overcome some of these issues, the native language is modeled using a grammar rule based approach in this work. The advantage of this approach is that the native language is modeled and its unique features are encoded using a set of inference rules. This rule base coupled with the customized ontological system shows considerable potential and is found to show better precision and recall.

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...

Corporate Language and Corporate Talk

DEFF Research Database (Denmark)

Zølner, Mette

2013-01-01

The article presents the case studies of two Danish based multinational companies (MNCs) which provides the an insight into the role of languages in organizational learning. It mentions that the studies focus on the sharing of the understanding and practices among their employees across the geogr......The article presents the case studies of two Danish based multinational companies (MNCs) which provides the an insight into the role of languages in organizational learning. It mentions that the studies focus on the sharing of the understanding and practices among their employees across...... the geographical borders by the medium of common corporate values for knowledge management, collection of data and analysis in these studies inspired by approach of ground theory and presents a usefulness of distinguishing between corporate language and talks to enable the headquarters learning. Also it concludes...... that both of the MNCs are of Danish origin but executives of both companies are proficient in English language....

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.

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....

The Role and Implication of Motivation in Second Language Acquisition(SLA)

Institute of Scientific and Technical Information of China (English)

李佩绮

2018-01-01

Motivation is one of the most important factors that affect foreign language learning.As it is affected by various factors, it becomes very complicated. Therefore, it is of great significance for foreign language teachers to explore how to motivate their students to become autonomous learners based on the overview of motivation studies in foreign language learning. This paper an?alyzes motivation factors on influencing learners in foreign language learning and explores some suggestions for motivating learn?er's learning.

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)

The Use and Role of Pop Culture in Heritage Language Learning: A Study of Advanced Learners of Korean

Science.gov (United States)

Choi, Jayoung; Yi, Youngjoo

2012-01-01

Despite the important use of pop culture in many instructional settings, its use in the heritage language (HL) classroom remains largely unexplored. Thus, this article reports findings from classroom-based qualitative research that examined the use and role of pop culture in advanced Korean HL learners' literacy engagement and identity…

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

Sources, Developments and Directions of Task-Based Language Teaching

Science.gov (United States)

Bygate, Martin

2016-01-01

This paper provides an outline of the origins, the current shape and the potential directions of task-based language teaching (TBLT) as an approach to language pedagogy. It first offers a brief description of TBLT and considers its origins within language teaching methodology and second language acquisition. It then summarises the current position…

Programming languages and operating systems used in data base systems

International Nuclear Information System (INIS)

Radulescu, T.G.

1977-06-01

Some apsects of the use of the programming languages and operating systems in the data base systems are presented. There are four chapters in this paper. In the first chapter we present some generalities about the programming languages. In the second one we describe the use of the programming languages in the data base systems. A classification of the programming languages used in data base systems is presented in the third one. An overview of the operating systems is made in the last chapter. (author)

The Relation Between Emotion Understanding and Theory of Mind in Children Aged 3 to 8: The Key Role of Language

Directory of Open Access Journals (Sweden)

Ilaria Grazzani

2018-05-01

Full Text Available Although a significant body of research has investigated the relationships among children’s emotion understanding (EU, theory of mind (ToM, and language abilities. As far as we know, no study to date has been conducted with a sizeable sample of both preschool and school-age children exploring the direct effect of EU on ToM when the role of language was evaluated as a potential exogenous factor in a single comprehensive model. Participants in the current study were 389 children (age range: 37–97 months, M = 60.79 months; SD = 12.66, to whom a False-Belief understanding battery, the Test of Emotion Comprehension, and the Peabody Test were administered. Children’s EU, ToM, and language ability (receptive vocabulary were positively correlated. Furthermore, EU scores explained variability in ToM scores independently of participants’ age and gender. Finally, language was found to play a crucial role in both explaining variance in ToM scores and in mediating the relationship between EU and ToM. We discuss the theoretical and educational implications of these outcomes, particularly in relation to offering social and emotional learning programs through schools.

The Relation Between Emotion Understanding and Theory of Mind in Children Aged 3 to 8: The Key Role of Language.

Science.gov (United States)

Grazzani, Ilaria; Ornaghi, Veronica; Conte, Elisabetta; Pepe, Alessandro; Caprin, Claudia

2018-01-01

Although a significant body of research has investigated the relationships among children's emotion understanding (EU), theory of mind (ToM), and language abilities. As far as we know, no study to date has been conducted with a sizeable sample of both preschool and school-age children exploring the direct effect of EU on ToM when the role of language was evaluated as a potential exogenous factor in a single comprehensive model. Participants in the current study were 389 children (age range: 37-97 months, M = 60.79 months; SD = 12.66), to whom a False-Belief understanding battery, the Test of Emotion Comprehension, and the Peabody Test were administered. Children's EU, ToM, and language ability (receptive vocabulary) were positively correlated. Furthermore, EU scores explained variability in ToM scores independently of participants' age and gender. Finally, language was found to play a crucial role in both explaining variance in ToM scores and in mediating the relationship between EU and ToM. We discuss the theoretical and educational implications of these outcomes, particularly in relation to offering social and emotional learning programs through schools.

Task-role-based Access Control Model in Smart Health-care System

OpenAIRE

Wang Peng; Jiang Lingyun

2015-01-01

As the development of computer science and smart health-care technology, there is a trend for patients to enjoy medical care at home. Taking enormous users in the Smart Health-care System into consideration, access control is an important issue. Traditional access control models, discretionary access control, mandatory access control, and role-based access control, do not properly reflect the characteristics of Smart Health-care System. This paper proposes an advanced access control model for...

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

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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.

Multilingualism in South Africa with Particular Reference to the Role of African Languages in Education

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Desai, Zubeida

2001-07-01

In this paper it is argued that language policy can play a central role in enabling citizens of a country to participate in the political, educational, social and economic life of that country. Or it can deny them that right. In discussions on the role of African languages, there is a tendency to confine the discussion to language in education. I argue that unless we locate the discussion in a broader context, we are not going to make much progress in extending the use of African languages beyond the home domain. The paper therefore consists of three sections. The first section looks broadly at the domains where language has an impact. The second section briefly outlines a process underway in South Africa to develop a framework for a national language policy, whilst the final section looks at the implications of this for education. Here I look at language in Education Policy in Practice. I give examples from a piece of primary research that I have conducted with Xhosa -speaking Grade 4 and Grade 7 learners who have been given pictures to describe first in Xhosa and then in English. The examples show the rich vocabulary children have when they express themselves in Xhosa and the poor vocabulary they have when they express themselves in English.

Using massively multiplayer online role playing games (MMORPGs) to support second language learning: Action research in the real and virtual world

OpenAIRE

Kongmee, Isara; Strachan, Rebecca; Montgomery, Catherine; Pickard, Alison

2011-01-01

Massively Multiplayer Online Role Playing Games (MMORPGs) create large virtual communities. Online gaming shows potential not just for entertaining, but also for education. The aim of this research project is to investigate the use of commercial MMORPGs to support second language teaching. MMORPGs offer a digital safe space in which students can communicate by using their target language with global players. This qualitative research based on ethnography and action research investigates the s...

ONTOLOGY BASED MEANINGFUL SEARCH USING SEMANTIC WEB AND NATURAL LANGUAGE PROCESSING TECHNIQUES

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K. Palaniammal

2013-10-01

Full Text Available The semantic web extends the current World Wide Web by adding facilities for the machine understood description of meaning. The ontology based search model is used to enhance efficiency and accuracy of information retrieval. Ontology is the core technology for the semantic web and this mechanism for representing formal and shared domain descriptions. In this paper, we proposed ontology based meaningful search using semantic web and Natural Language Processing (NLP techniques in the educational domain. First we build the educational ontology then we present the semantic search system. The search model consisting three parts which are embedding spell-check, finding synonyms using WordNet API and querying ontology using SPARQL language. The results are both sensitive to spell check and synonymous context. This paper provides more accurate results and the complete details for the selected field in a single page.

The knowledge and attitudes of occupational therapy, physiotherapy and speech-language therapy students, regarding the speech-language therapist's role in the hospital stroke rehabilitation team.

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Felsher, L; Ross, E

1994-01-01

The purpose of the present study was to survey and compare the knowledge and attitudes of final year occupational therapy, physiotherapy and speech-language therapy students, concerning the role of the speech-language therapist as a member of the stroke rehabilitation team in the hospital setting. In order to achieve this aim, a questionnaire was administered to final year students in these three disciplines, and included questions on most areas of stroke rehabilitation with which the speech-language therapist might be involved, as well as the concepts of rehabilitation and teamwork in relation to stroke rehabilitation. Results suggested a fairly good understanding of the concepts of rehabilitation and teamwork. Students appeared to have a greater understanding of those disorders following a stroke, with which the speech-language therapist is commonly involved, such as Aphasia, Dysarthria, Verbal Apraxia and Dysphagia. However, students appeared to show less understanding of those disorders post-stroke, for which the speech-language therapist's role is less well defined, such as Agraphia, Alexia and Amnesia. In addition, a high percentage of role duplication/overlapping in several aspects of stroke rehabilitation, such as family and social support, was found. Several implications for facilitating communication, collaboration and understanding between paramedical professions, as well as for further research are also provided.

Domain Independent Vocabulary Generation and Its Use in Category-based Small Footprint Language Model

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KIM, K.-H.

2011-02-01

Full Text Available The work in this paper pertains to domain independent vocabulary generation and its use in category-based small footprint Language Model (LM. Two major constraints of the conventional LMs in the embedded environment are memory capacity limitation and data sparsity for the domain-specific application. This data sparsity adversely affects vocabulary coverage and LM performance. To overcome these constraints, we define a set of domain independent categories using a Part-Of-Speech (POS tagged corpus. Also, we generate a domain independent vocabulary based on this set using the corpus and knowledge base. Then, we propose a mathematical framework for a category-based LM using this set. In this LM, one word can be assigned assign multiple categories. In order to reduce its memory requirements, we propose a tree-based data structure. In addition, we determine the history length of a category n-gram, and the independent assumption applying to a category history generation. The proposed vocabulary generation method illustrates at least 13.68% relative improvement in coverage for a SMS text corpus, where data are sparse due to the difficulties in data collection. The proposed category-based LM requires only 215KB which is 55% and 13% compared to the conventional category-based LM and the word-based LM, respectively. It successively improves the performance, achieving 54.9% and 60.6% perplexity reduction compared to the conventional category-based LM and the word-based LM in terms of normalized perplexity.

MODEL NATIVIS LANGUAGE ACQUISITION DEVICE (SEBUAH TEORI PEMEROLEHAN BAHASA

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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.

LANGUAGE TRAVEL SUPPLY: LANGUAGE TOURISM PRODUCT COMPOSITION

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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.

A Performance-Based Teacher Education Curriculum in the Language Arts

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Rudman, Masha

1972-01-01

Under a feasibility grant awarded by the U.S. Department of Health, Education and Welfare for a Model Elementary Teacher Education Program (METEP), the University of Massachusetts' School of Education set up a language arts education program based on performance criteria, in that it is the performance of the student that is crucial, not the method…

The Language Problem in Science and the Role of the International Language Esperanto. Esperanto Documents 38 A.

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Wendao, Ouyang; Sherwood, Bruce A.

Two essays discuss the need for improved international transfer of scientific and technical information and propose the international language Esperanto for that purpose. "The Role of Esperanto" by Ouyang Wendao suggests that the burden of time and energy spent in translating scientific literature quickly and well and the difficulties of…

FST Based Morphological Analyzer for Hindi Language

OpenAIRE

Deepak Kumar; Manjeet Singh; Seema Shukla

2012-01-01

Hindi being a highly inflectional language, FST (Finite State Transducer) based approach is most efficient for developing a morphological analyzer for this language. The work presented in this paper uses the SFST (Stuttgart Finite State Transducer) tool for generating the FST. A lexicon of root words is created. Rules are then added for generating inflectional and derivational words from these root words. The Morph Analyzer developed was used in a Part Of Speech (POS) Tagger based on Stanford...

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

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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

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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

Sweet Science for ALL! Supporting Inquiry-Based Learning through M&Ms Investigation for English Language Learners

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Song, Youngjin; Higgins, Teresa; Harding-DeKam, Jenni

2014-01-01

This article describes a series of inquiry-based lessons that provide English language learners (ELLs) with opportunities to experience science and engineering practices with conceptual understanding as well as to develop their language proficiency in elementary classrooms. The four-lesson sequence models how various types of instructional…

Two-Year Outcomes of a Population-Based Intervention for Preschool Language Delay: An RCT.

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Wake, Melissa; Levickis, Penny; Tobin, Sherryn; Gold, Lisa; Ukoumunne, Obioha C; Goldfeld, Sharon; Zens, Naomi; Le, Ha N D; Law, James; Reilly, Sheena

2015-10-01

We have previously shown short-term benefits to phonology, letter knowledge, and possibly expressive language from systematically ascertaining language delay at age 4 years followed by the Language for Learning intervention. Here, we report the trial's definitive 6-year outcomes. Randomized trial nested in a population-based ascertainment. Children with language scores >1.25 SD below the mean at age 4 were randomized, with intervention children receiving 18 1-hour home-based therapy sessions. Primary outcome was receptive/expressive language. Secondary outcomes were phonological, receptive vocabulary, literacy, and narrative skills; parent-reported pragmatic language, behavior, and health-related quality of life; costs of intervention; and health service use. For intention-to-treat analyses, trial arms were compared using linear regression models. Of 1464 children assessed at age 4, 266 were eligible and 200 randomized; 90% and 82% of intervention and control children were retained respectively. By age 6, mean language scores had normalized, but there was little evidence of a treatment effect for receptive (adjusted mean difference 2.3; 95% confidence interval [CI] -1.2 to 5.7; P = .20) or expressive (0.8; 95% CI -1.6 to 3.2; P = .49) language. Of the secondary outcomes, only phonological awareness skills (effect size 0.36; 95% CI 0.08-0.65; P = .01) showed benefit. Costs were higher for intervention families (mean difference AU$4276; 95% CI: $3424 to $5128). Population-based intervention targeting 4-year-old language delay was feasible but did not have lasting impacts on language, possibly reflecting resolution in both groups. Long-term literacy benefits remain possible but must be weighed against its cost. Copyright © 2015 by the American Academy of Pediatrics.

Task-based Language Learning in Bilingual Montessori Elementary Schools: Customizing Foreign Language Learning and Promoting L2 Speaking Skills

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Jana Winnefeld

2012-01-01

Full Text Available Foreign language learning has been a part of German elementary schools for several years now. Montessori schools focusing on individual learning, i.e. mostly independent from the teacher and based on auto-education, interest, and free choice, are also asked to teach an L2. The original lack of a concept of L2 learning for this environment has brought forth different approaches. Bilingual education seems to be feasible and applicable in Montessori education. The downside to this is that even in a bilingual classroom the Montessori way of learning may not allow for very much oral production of the foreign language. The role of L2 production (cf. Swain 1985, 1995, 2005 for language acquisition has been theoretically claimed and empirically investigated. Output can have a positive influence on L2 learning (cf. e.g. Izumi 2002, Keck et al. 2006. This also applies to interaction (cf. Long 1996, where negotiation of meaning and modified output are factors supporting L2 development (cf. e.g. de la Fuente 2002, McDonough 2005. Task-based Language Learning (TBLL presents itself as one way to promote oral language production and to provide opportunities for meaning-negotiation. Especially tasks with required information exchange and a closed outcome have been shown to be beneficial for the elicitation of negotiation of meaning and modified output. This paper argues that TBLL is a promising approach for the facilitation of L2 production and thus the development of speaking skills in a Montessori context. It also hypothesizes that TBLL can be implemented in a bilingual Montessori environment while still making the Montessori way of learning possible. Different tasks on various topics, examples of which are presented in this article, can lay the foundation for this. Offering such tasks in a bilingual Montessori elementary classroom promises to foster language production and the use of communication strategies like negotiation of meaning, both being

Languages, communication potential and generalized trust in Sub-Saharan Africa: evidence based on the Afrobarometer Survey.

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Buzasi, Katalin

2015-01-01

The goal of this study is to investigate whether speaking other than home languages in Sub-Saharan Africa promotes generalized trust. Based on various psychological and economic theories, a simple model is provided to illustrate how languages might shape trust through various channels. Relying on data from the Afrobarometer Project, which provides information on home and additional languages, the Index of Communication Potential (ICP) is introduced to capture the linguistic situation in the 20 sample countries. The ICP, which can be computed at any desired level of aggregation, refers to the probability that an individual can communicate with a randomly selected person in the society based on common languages. The estimated two-level hierarchical models show that, however, individual level communication potential does not seem to impact trust formation, but living in an area with higher average communication potential increases the chance of exhibiting higher trust toward unknown people. Copyright © 2014 Elsevier Inc. All rights reserved.

Meaning-Based Scoring: A Systemic Functional Linguistics Model for Automated Test Tasks

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Gleason, Jesse

2014-01-01

Communicative approaches to language teaching that emphasize the importance of speaking (e.g., task-based language teaching) require innovative and evidence-based means of assessing oral language. Nonetheless, research has yet to produce an adequate assessment model for oral language (Chun 2006; Downey et al. 2008). Limited by automatic speech…

Language and Visual Perception Associations: Meta-Analytic Connectivity Modeling of Brodmann Area 37

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Alfredo Ardila

2015-01-01

Full Text Available Background. Understanding the functions of different brain areas has represented a major endeavor of neurosciences. Historically, brain functions have been associated with specific cortical brain areas; however, modern neuroimaging developments suggest cognitive functions are associated to networks rather than to areas. Objectives. The purpose of this paper was to analyze the connectivity of Brodmann area (BA 37 (posterior, inferior, and temporal/fusiform gyrus in relation to (1 language and (2 visual processing. Methods. Two meta-analyses were initially conducted (first level analysis. The first one was intended to assess the language network in which BA37 is involved. The second one was intended to assess the visual perception network. A third meta-analysis (second level analysis was then performed to assess contrasts and convergence between the two cognitive domains (language and visual perception. The DataBase of Brainmap was used. Results. Our results support the role of BA37 in language but by means of a distinct network from the network that supports its second most important function: visual perception. Conclusion. It was concluded that left BA37 is a common node of two distinct networks—visual recognition (perception and semantic language functions.

Language and visual perception associations: meta-analytic connectivity modeling of Brodmann area 37.

Science.gov (United States)

Ardila, Alfredo; Bernal, Byron; Rosselli, Monica

2015-01-01

Understanding the functions of different brain areas has represented a major endeavor of neurosciences. Historically, brain functions have been associated with specific cortical brain areas; however, modern neuroimaging developments suggest cognitive functions are associated to networks rather than to areas. The purpose of this paper was to analyze the connectivity of Brodmann area (BA) 37 (posterior, inferior, and temporal/fusiform gyrus) in relation to (1) language and (2) visual processing. Two meta-analyses were initially conducted (first level analysis). The first one was intended to assess the language network in which BA37 is involved. The second one was intended to assess the visual perception network. A third meta-analysis (second level analysis) was then performed to assess contrasts and convergence between the two cognitive domains (language and visual perception). The DataBase of Brainmap was used. Our results support the role of BA37 in language but by means of a distinct network from the network that supports its second most important function: visual perception. It was concluded that left BA37 is a common node of two distinct networks-visual recognition (perception) and semantic language functions.

Language Classroom Risk-Taking Behavior in a Performed Culture-Based Program

OpenAIRE

Stephen D. Luft

2013-01-01

While several studies have investigated the role of risk-taking in language learning, the findings of these studies may not be generalizable to language learning where the performed culture approach (PCA) is used. This study describes the relationship between language learning and risk-taking in PCA, and the relationship between risk-taking and personal study habits, teaching style, daily grading, and classroom dynamics. Data were collected by means of a questionnaire. Th...

Tableau's Influence on the Oral Language Skills of Students with Language-Based Learning Disabilities

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Anderson, Alida; Berry, Katherine A.

2017-01-01

This study examined the influence of tableau on the expressive language skills of three students with language-based learning disabilities in inclusive urban fourth-grade English language arts (ELA) classroom settings. Data were collected on linguistic productivity, specificity, and narrative cohesion through analysis of students' responses to…

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

Students' Motivation toward Computer-Based Language Learning

Science.gov (United States)

Genc, Gulten; Aydin, Selami

2011-01-01

The present article examined some factors affecting the motivation level of the preparatory school students in using a web-based computer-assisted language-learning course. The sample group of the study consisted of 126 English-as-a-foreign-language learners at a preparatory school of a state university. After performing statistical analyses…

[Language Functions in the Frontal Association Area: Brain Mechanisms That Create Language].

Science.gov (United States)

Yamamoto, Kayako; Sakai, Kuniyoshi L

2016-11-01

Broca's area is known to be critically involved in language processing for more than 150 years. Recent neuroimaging techniques, including functional magnetic resonance imaging (fMRI) and diffusion MRI, enabled the subdivision of Broca's area based on both functional and anatomical aspects. Networks among the frontal association areas, especially the left inferior frontal gyrus (IFG), and other cortical regions in the temporal/parietal association areas, are also important for language-related information processing. Here, we review how neuroimaging studies, combined with research paradigms based on theoretical linguistics, have contributed to clarifying the critical roles of the left IFG in syntactic processing and those of language-related networks, including cortical and cerebellar regions.

An Agent-Based Model for the Role of Short-Term Memory Enhancement in the Emergence of Grammatical Agreement.

Science.gov (United States)

Vera, Javier

2018-01-01

What is the influence of short-term memory enhancement on the emergence of grammatical agreement systems in multi-agent language games? Agreement systems suppose that at least two words share some features with each other, such as gender, number, or case. Previous work, within the multi-agent language-game framework, has recently proposed models stressing the hypothesis that the emergence of a grammatical agreement system arises from the minimization of semantic ambiguity. On the other hand, neurobiological evidence argues for the hypothesis that language evolution has mainly related to an increasing of short-term memory capacity, which has allowed the online manipulation of words and meanings participating particularly in grammatical agreement systems. Here, the main aim is to propose a multi-agent language game for the emergence of a grammatical agreement system, under measurable long-range relations depending on the short-term memory capacity. Computer simulations, based on a parameter that measures the amount of short-term memory capacity, suggest that agreement marker systems arise in a population of agents equipped at least with a critical short-term memory capacity.

Building CMU Sphinx language model for the Ho

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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.

Language Contact.

Science.gov (United States)

Nelde, Peter Hans

1995-01-01

Examines the phenomenon of language contact and recent trends in linguistic contact research, which focuses on language use, language users, and language spheres. Also discusses the role of linguistic and cultural conflicts in language contact situations. (13 references) (MDM)

The Role of "Outside" Organizations in Foreign Language Teacher Education.

Science.gov (United States)

Love, William D., Ed.

A short review of the various "revolutions" in methodology which foreign language instruction has undergone since its inception as an area of study leads into an appraisal of the role of government and private foundations in the education of teachers. The four-point program of the Washington Fourth Draft plan for teacher education and…

Behavior-Based Early Language Development on a Humanoid Robot

National Research Council Canada - National Science Library

Varshavskaya, Paulina

2002-01-01

We are exploring the idea that early language acquisition could be better modelled on an artificial creature by considering the pragmatic aspect of natural language and of its development in human infants...

Model-based machine learning.

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Bishop, Christopher M

2013-02-13

Several decades of research in the field of machine learning have resulted in a multitude of different algorithms for solving a broad range of problems. To tackle a new application, a researcher typically tries to map their problem onto one of these existing methods, often influenced by their familiarity with specific algorithms and by the availability of corresponding software implementations. In this study, we describe an alternative methodology for applying machine learning, in which a bespoke solution is formulated for each new application. The solution is expressed through a compact modelling language, and the corresponding custom machine learning code is then generated automatically. This model-based approach offers several major advantages, including the opportunity to create highly tailored models for specific scenarios, as well as rapid prototyping and comparison of a range of alternative models. Furthermore, newcomers to the field of machine learning do not have to learn about the huge range of traditional methods, but instead can focus their attention on understanding a single modelling environment. In this study, we show how probabilistic graphical models, coupled with efficient inference algorithms, provide a very flexible foundation for model-based machine learning, and we outline a large-scale commercial application of this framework involving tens of millions of users. We also describe the concept of probabilistic programming as a powerful software environment for model-based machine learning, and we discuss a specific probabilistic programming language called Infer.NET, which has been widely used in practical applications.

The role of the left inferior parietal lobule in second language learning: An intensive language training fMRI study.

Science.gov (United States)

Barbeau, Elise B; Chai, Xiaoqian J; Chen, Jen-Kai; Soles, Jennika; Berken, Jonathan; Baum, Shari; Watkins, Kate E; Klein, Denise

2017-04-01

Research to date suggests that second language acquisition results in functional and structural changes in the bilingual brain, however, in what way and how quickly these changes occur remains unclear. To address these questions, we studied fourteen English-speaking monolingual adults enrolled in a 12-week intensive French language-training program in Montreal. Using functional MRI, we investigated the neural changes associated with new language acquisition. The participants were scanned before the start of the immersion program and at the end of the 12 weeks. The fMRI scan aimed to investigate the brain regions recruited in a sentence reading task both in English, their first language (L1), and in French, their second language (L2). For the L1, fMRI patterns did not change from Time 1 to Time 2, while for the L2, the brain response changed between Time 1 and Time 2 in language-related areas. Of note, for the L2, there was higher activation at Time 2 compared to Time 1 in the left inferior parietal lobule (IPL) including the supramarginal gyrus. At Time 2 this higher activation in the IPL correlated with faster L2 reading speed. Moreover, higher activation in the left IPL at Time 1 predicted improvement in L2 reading speed from Time 1 to Time 2. Our results suggest that learning-induced plasticity occurred as early as 12 weeks into immersive second-language training, and that the IPL appears to play a special role in language learning. Copyright © 2016 Elsevier Ltd. All rights reserved.

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.

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).

Improved workflow modelling using role activity diagram-based modelling with application to a radiology service case study.

Science.gov (United States)

Shukla, Nagesh; Keast, John E; Ceglarek, Darek

2014-10-01

The modelling of complex workflows is an important problem-solving technique within healthcare settings. However, currently most of the workflow models use a simplified flow chart of patient flow obtained using on-site observations, group-based debates and brainstorming sessions, together with historic patient data. This paper presents a systematic and semi-automatic methodology for knowledge acquisition with detailed process representation using sequential interviews of people in the key roles involved in the service delivery process. The proposed methodology allows the modelling of roles, interactions, actions, and decisions involved in the service delivery process. This approach is based on protocol generation and analysis techniques such as: (i) initial protocol generation based on qualitative interviews of radiology staff, (ii) extraction of key features of the service delivery process, (iii) discovering the relationships among the key features extracted, and, (iv) a graphical representation of the final structured model of the service delivery process. The methodology is demonstrated through a case study of a magnetic resonance (MR) scanning service-delivery process in the radiology department of a large hospital. A set of guidelines is also presented in this paper to visually analyze the resulting process model for identifying process vulnerabilities. A comparative analysis of different workflow models is also conducted. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

An overview of computer-based natural language processing

Science.gov (United States)

Gevarter, W. B.

1983-01-01

Computer based Natural Language Processing (NLP) is the key to enabling humans and their computer based creations to interact with machines in natural language (like English, Japanese, German, etc., in contrast to formal computer languages). The doors that such an achievement can open have made this a major research area in Artificial Intelligence and Computational Linguistics. Commercial natural language interfaces to computers have recently entered the market and future looks bright for other applications as well. This report reviews the basic approaches to such systems, the techniques utilized, applications, the state of the art of the technology, issues and research requirements, the major participants and finally, future trends and expectations. It is anticipated that this report will prove useful to engineering and research managers, potential users, and others who will be affected by this field as it unfolds.

Spoken language identification based on the enhanced self-adjusting extreme learning machine approach

Science.gov (United States)

Tiun, Sabrina; AL-Dhief, Fahad Taha; Sammour, Mahmoud A. M.

2018-01-01

Spoken Language Identification (LID) is the process of determining and classifying natural language from a given content and dataset. Typically, data must be processed to extract useful features to perform LID. The extracting features for LID, based on literature, is a mature process where the standard features for LID have already been developed using Mel-Frequency Cepstral Coefficients (MFCC), Shifted Delta Cepstral (SDC), the Gaussian Mixture Model (GMM) and ending with the i-vector based framework. However, the process of learning based on extract features remains to be improved (i.e. optimised) to capture all embedded knowledge on the extracted features. The Extreme Learning Machine (ELM) is an effective learning model used to perform classification and regression analysis and is extremely useful to train a single hidden layer neural network. Nevertheless, the learning process of this model is not entirely effective (i.e. optimised) due to the random selection of weights within the input hidden layer. In this study, the ELM is selected as a learning model for LID based on standard feature extraction. One of the optimisation approaches of ELM, the Self-Adjusting Extreme Learning Machine (SA-ELM) is selected as the benchmark and improved by altering the selection phase of the optimisation process. The selection process is performed incorporating both the Split-Ratio and K-Tournament methods, the improved SA-ELM is named Enhanced Self-Adjusting Extreme Learning Machine (ESA-ELM). The results are generated based on LID with the datasets created from eight different languages. The results of the study showed excellent superiority relating to the performance of the Enhanced Self-Adjusting Extreme Learning Machine LID (ESA-ELM LID) compared with the SA-ELM LID, with ESA-ELM LID achieving an accuracy of 96.25%, as compared to the accuracy of SA-ELM LID of only 95.00%. PMID:29672546

Spoken language identification based on the enhanced self-adjusting extreme learning machine approach.

Science.gov (United States)

Albadr, Musatafa Abbas Abbood; Tiun, Sabrina; Al-Dhief, Fahad Taha; Sammour, Mahmoud A M

2018-01-01

Spoken Language Identification (LID) is the process of determining and classifying natural language from a given content and dataset. Typically, data must be processed to extract useful features to perform LID. The extracting features for LID, based on literature, is a mature process where the standard features for LID have already been developed using Mel-Frequency Cepstral Coefficients (MFCC), Shifted Delta Cepstral (SDC), the Gaussian Mixture Model (GMM) and ending with the i-vector based framework. However, the process of learning based on extract features remains to be improved (i.e. optimised) to capture all embedded knowledge on the extracted features. The Extreme Learning Machine (ELM) is an effective learning model used to perform classification and regression analysis and is extremely useful to train a single hidden layer neural network. Nevertheless, the learning process of this model is not entirely effective (i.e. optimised) due to the random selection of weights within the input hidden layer. In this study, the ELM is selected as a learning model for LID based on standard feature extraction. One of the optimisation approaches of ELM, the Self-Adjusting Extreme Learning Machine (SA-ELM) is selected as the benchmark and improved by altering the selection phase of the optimisation process. The selection process is performed incorporating both the Split-Ratio and K-Tournament methods, the improved SA-ELM is named Enhanced Self-Adjusting Extreme Learning Machine (ESA-ELM). The results are generated based on LID with the datasets created from eight different languages. The results of the study showed excellent superiority relating to the performance of the Enhanced Self-Adjusting Extreme Learning Machine LID (ESA-ELM LID) compared with the SA-ELM LID, with ESA-ELM LID achieving an accuracy of 96.25%, as compared to the accuracy of SA-ELM LID of only 95.00%.

The Role of Language Skill in Child Psychopathology: Implications for Intervention in the Early Years.

Science.gov (United States)

Salmon, Karen; O'Kearney, Richard; Reese, Elaine; Fortune, Clare-Ann

2016-12-01

In this narrative review, we suggest that children's language skill should be targeted in clinical interventions for children with emotional and behavioral difficulties in the preschool years. We propose that language skill predicts childhood emotional and behavioral problems and this relationship may be mediated by children's self-regulation and emotion understanding skills. In the first sections, we review recent high-quality longitudinal studies which together demonstrate that that children's early language skill predicts: (1) emotional and behavioral problems, and this relationship is stronger than the reverse pattern; (2) self-regulation skill; this pattern may be stronger than the reverse pattern but moderated by child age. Findings also suggest that self-regulation skill mediates the relation between early language skill and children's emotional and behavioral problems. There is insufficient evidence regarding the mediating role of emotion understanding. In subsequent sections, we review evidence demonstrating that: (1) particular kinds of developmentally targeted parent-child conversations play a vital role in the development of language skill, and (2) some current clinical interventions, directly or indirectly, have a beneficial impact on children's vocabulary and narrative skills, but most approaches are ad hoc. Targeting language via parent-child conversation has the potential to improve the outcomes of current clinical interventions in the preschool years.

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.

A Systematic Review of Narrative-Based Language Intervention with Children Who Have Language Impairment

Science.gov (United States)

Petersen, Douglas B.

2011-01-01

This systematic review focuses on research articles published since 1980 that assess outcomes of narrative-based language intervention for preschool and school-age children with language impairment. The author conducted a comprehensive search of electronic databases and hand searches of other sources for studies using all research designs except…

A semantic-based approach for querying linked data using natural language

KAUST Repository

Paredes-Valverde, Mario André s; Valencia-Garcí a, Rafael; Rodriguez-Garcia, Miguel Angel; Colomo-Palacios, Ricardo; Alor-Herná ndez, Giner

2016-01-01

The semantic Web aims to provide to Web information with a well-defined meaning and make it understandable not only by humans but also by computers, thus allowing the automation, integration and reuse of high-quality information across different applications. However, current information retrieval mechanisms for semantic knowledge bases are intended to be only used by expert users. In this work, we propose a natural language interface that allows non-expert users the access to this kind of information through formulating queries in natural language. The present approach uses a domain-independent ontology model to represent the question's structure and context. Also, this model allows determination of the answer type expected by the user based on a proposed question classification. To prove the effectiveness of our approach, we have conducted an evaluation in the music domain using LinkedBrainz, an effort to provide the MusicBrainz information as structured data on the Web by means of Semantic Web technologies. Our proposal obtained encouraging results based on the F-measure metric, ranging from 0.74 to 0.82 for a corpus of questions generated by a group of real-world end users. © The Author(s) 2015.

A semantic-based approach for querying linked data using natural language

KAUST Repository

Paredes-Valverde, Mario Andrés

2016-01-11

The semantic Web aims to provide to Web information with a well-defined meaning and make it understandable not only by humans but also by computers, thus allowing the automation, integration and reuse of high-quality information across different applications. However, current information retrieval mechanisms for semantic knowledge bases are intended to be only used by expert users. In this work, we propose a natural language interface that allows non-expert users the access to this kind of information through formulating queries in natural language. The present approach uses a domain-independent ontology model to represent the question\\'s structure and context. Also, this model allows determination of the answer type expected by the user based on a proposed question classification. To prove the effectiveness of our approach, we have conducted an evaluation in the music domain using LinkedBrainz, an effort to provide the MusicBrainz information as structured data on the Web by means of Semantic Web technologies. Our proposal obtained encouraging results based on the F-measure metric, ranging from 0.74 to 0.82 for a corpus of questions generated by a group of real-world end users. © The Author(s) 2015.

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

Becoming Little Scientists: Technologically-Enhanced Project-Based Language Learning

Science.gov (United States)

Dooly, Melinda; Sadler, Randall

2016-01-01

This article outlines research into innovative language teaching practices that make optimal use of technology and Computer-Mediated Communication (CMC) for an integrated approach to Project-Based Learning. It is based on data compiled during a 10- week language project that employed videoconferencing and "machinima" (short video clips…

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…

Language Tasks Using Touch Screen and Mobile Technologies: Reconceptualizing Task-Based CALL for Young Language Learners

Science.gov (United States)

Pellerin, Martine

2014-01-01

This article examines how the use of mobile technologies (iPods and tablets) in language classrooms contributes to redesigning task-based approaches for young language learners. The article is based on a collaborative action research (CAR) project in Early French Immersion classrooms in the province of Alberta, Canada. The data collection included…

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

Theory-based Support for Mobile Language Learning: Noticing and Recording

Directory of Open Access Journals (Sweden)

Agnes Kukulska-Hulme

2009-04-01

Full Text Available This paper considers the issue of 'noticing' in second language acquisition, and argues for the potential of handheld devices to: (i support language learners in noticing and recording noticed features 'on the spot', to help them develop their second language system; (ii help language teachers better understand the specific difficulties of individuals or those from a particular language background; and (iii facilitate data collection by applied linguistics researchers, which can be fed back into educational applications for language learning. We consider: theoretical perspectives drawn from the second language acquisition literature, relating these to the practice of writing language learning diaries; and the potential for learner modelling to facilitate recording and prompting noticing in mobile assisted language learning contexts. We then offer guidelines for developers of mobile language learning solutions to support the development of language awareness in learners.

A Cognitive Neural Architecture Able to Learn and Communicate through Natural Language.

Directory of Open Access Journals (Sweden)

Bruno Golosio

Full Text Available Communicative interactions involve a kind of procedural knowledge that is used by the human brain for processing verbal and nonverbal inputs and for language production. Although considerable work has been done on modeling human language abilities, it has been difficult to bring them together to a comprehensive tabula rasa system compatible with current knowledge of how verbal information is processed in the brain. This work presents a cognitive system, entirely based on a large-scale neural architecture, which was developed to shed light on the procedural knowledge involved in language elaboration. The main component of this system is the central executive, which is a supervising system that coordinates the other components of the working memory. In our model, the central executive is a neural network that takes as input the neural activation states of the short-term memory and yields as output mental actions, which control the flow of information among the working memory components through neural gating mechanisms. The proposed system is capable of learning to communicate through natural language starting from tabula rasa, without any a priori knowledge of the structure of phrases, meaning of words, role of the different classes of words, only by interacting with a human through a text-based interface, using an open-ended incremental learning process. It is able to learn nouns, verbs, adjectives, pronouns and other word classes, and to use them in expressive language. The model was validated on a corpus of 1587 input sentences, based on literature on early language assessment, at the level of about 4-years old child, and produced 521 output sentences, expressing a broad range of language processing functionalities.

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

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.

Modules based on the geochemical model PHREEQC for use in scripting and programming languages

Science.gov (United States)

Charlton, Scott R.; Parkhurst, David L.

2011-01-01

The geochemical model PHREEQC is capable of simulating a wide range of equilibrium reactions between water and minerals, ion exchangers, surface complexes, solid solutions, and gases. It also has a general kinetic formulation that allows modeling of nonequilibrium mineral dissolution and precipitation, microbial reactions, decomposition of organic compounds, and other kinetic reactions. To facilitate use of these reaction capabilities in scripting languages and other models, PHREEQC has been implemented in modules that easily interface with other software. A Microsoft COM (component object model) has been implemented, which allows PHREEQC to be used by any software that can interface with a COM server—for example, Excel®, Visual Basic®, Python, or MATLAB". PHREEQC has been converted to a C++ class, which can be included in programs written in C++. The class also has been compiled in libraries for Linux and Windows that allow PHREEQC to be called from C++, C, and Fortran. A limited set of methods implements the full reaction capabilities of PHREEQC for each module. Input methods use strings or files to define reaction calculations in exactly the same formats used by PHREEQC. Output methods provide a table of user-selected model results, such as concentrations, activities, saturation indices, and densities. The PHREEQC module can add geochemical reaction capabilities to surface-water, groundwater, and watershed transport models. It is possible to store and manipulate solution compositions and reaction information for many cells within the module. In addition, the object-oriented nature of the PHREEQC modules simplifies implementation of parallel processing for reactive-transport models. The PHREEQC COM module may be used in scripting languages to fit parameters; to plot PHREEQC results for field, laboratory, or theoretical investigations; or to develop new models that include simple or complex geochemical calculations.

Language Revitalization.

Science.gov (United States)

Hinton, Leanne

2003-01-01

Surveys developments in language revitalization and language death. Focusing on indigenous languages, discusses the role and nature of appropriate linguistic documentation, possibilities for bilingual education, and methods of promoting oral fluency and intergenerational transmission in affected languages. (Author/VWL)

Bridging the language gap: Exploring science teachers' dual role as teachers of content and English literacy

Science.gov (United States)

Arnold, Suzanne C.

Responsibility for educating English language learners is increasingly falling on the shoulders of content specialists at the secondary level, as students are mainstreamed into classes. Therefore, providing these students an opportunity to achieve academic success depends largely on the quality of mainstream instruction (Cornell, 1995). Most teachers receive little or no preparation in how to work with English language learners. In my study, I address the instructional issues confronting three white, monolingual English-speaking middle school science teachers who must meet the demands of an increasing English language learner population. Specifically, this study explores teacher beliefs and enactment of reform-oriented science and sheltered instructional approaches to develop English language learners scientific and English literacy skills. I also explore the relationships that exist between these two dynamics in an effort to determine the extent to which teachers take on a dual role as teachers promoting English language and science proficiency. Using a participant observation case study method and my adaptation of Schwab's commonplaces heuristic, I analyzed the relationship between teacher beliefs, milieu, subject matter, and enactment in bridging the language gap in the science classroom for English language learners. The most noteworthy finding of this study was the significant role of milieu in enacting lessons that bridge the language gap and foster the development of English language learners science and English literacy skills. The findings suggest that greater attention be given to helping teachers establish a relationship-driven classroom milieu. You can provide all kinds of courses or professional learning experiences to improve teachers' instructional practices, but they must also recognize the importance of establishing relationships with their students; the coursework they take will not supplant the need to foster a warm and safe environment for all

Integrating Culture into Language Teaching and Learning: Learner Outcomes

Science.gov (United States)

Nguyen, Trang Thi Thuy

2017-01-01

This paper discusses the issue of learner outcomes in learning culture as part of their language learning. First, some brief discussion on the role of culture in language teaching and learning, as well as on culture contents in language lessons is presented. Based on a detailed review of previous literature related to culture in language teaching…

We-Language and Sustained Reductions in Drinking in Couple-Based Treatment for Alcohol Use Disorders.

Science.gov (United States)

Hallgren, Kevin A; McCrady, Barbara S

2016-03-01

Couple-based treatments for alcohol use disorders (AUDs) produce higher rates of abstinence than individual-based treatments and posit that active involvement of both identified patients (IPs) and significant others (SOs) is partly responsible for these improvements. Separate research on couples' communication has suggested that pronoun usage can indicate a communal approach to coping with health-related problems. The present study tested whether communal coping, indicated by use of more first-person plural pronouns ("we" language), fewer second-person pronouns ("you" language), and fewer first-person singular pronouns ("I" language), predicted improvements in abstinence in couple-based AUD treatment. Pronoun use was measured in first- and mid-treatment sessions for 188 heterosexual couples in four clinical trials of alcohol behavioral couple therapy (ABCT). Percentages of days abstinent were assessed during treatment and over a 6-month follow-up period. Greater IP and SO "we" language during both sessions was correlated with greater improvement in abstinent days during treatment. Greater SO "we" language during first- and mid-treatment sessions was correlated with greater improvement in abstinence at follow-up. Greater use of IP and SO "you" and "I" language had mixed correlations with abstinence, typically being unrelated to or predicting less improvement in abstinence. When all pronoun variables were entered into regression models, only greater IP "we" langue and lower IP "you" language predicted improvements in abstinence during treatment, and only SO "we" language predicted improvements during follow-up. Most pronoun categories had little or no association with baseline relationship distress. Results suggest that communal coping predicts better abstinence outcomes in couple-based AUD treatment. © 2015 Family Process Institute.

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.

Emerging role of media as the language art in children's literature in ...

African Journals Online (AJOL)

Emerging role of media as the language art in children's literature in Kenya. ... Inkanyiso: Journal of Humanities and Social Sciences ... literature calls for a rethinking, such that it is made 'integrative' and new media such as television, videos, ...

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...

Language-based multimedia information retrieval

NARCIS (Netherlands)

de Jong, Franciska M.G.; Gauvain, J.L.; Hiemstra, Djoerd; Netter, K.

2000-01-01

This paper describes various methods and approaches for language-based multimedia information retrieval, which have been developed in the projects POP-EYE and OLIVE and which will be developed further in the MUMIS project. All of these project aim at supporting automated indexing of video material

DIGITAL GAME-BASED LANGUAGE LEARNING IN FOREIGN LANGUAGE TEACHER EDUCATION

OpenAIRE

ALYAZ, Yunus; GENC, Zubeyde Sinem

2016-01-01

New technologies including digital game-based language learning have increasingly received attention. However, their implementation is far from expected and desired levels due to technical, instructional, financial and sociological barriers. Previous studies suggest that there is a strong need to establish courses in order to support adaptation of game-based learning pedagogy through helping teachers experience digital games themselves before they are expected to use them in teaching. This st...

Traceability in Model-Based Testing

Directory of Open Access Journals (Sweden)

Mathew George

2012-11-01

Full Text Available The growing complexities of software and the demand for shorter time to market are two important challenges that face today’s IT industry. These challenges demand the increase of both productivity and quality of software. Model-based testing is a promising technique for meeting these challenges. Traceability modeling is a key issue and challenge in model-based testing. Relationships between the different models will help to navigate from one model to another, and trace back to the respective requirements and the design model when the test fails. In this paper, we present an approach for bridging the gaps between the different models in model-based testing. We propose relation definition markup language (RDML for defining the relationships between models.

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…

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

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).

THE WHATS, WHYS, HOWS AND WHOS OF CONTENT-BASED INSTRUCTION IN SECOND/FOREIGN LANGUAGE EDUCATION

Directory of Open Access Journals (Sweden)

María Dueñas

2004-06-01

Full Text Available As an instructional practice in second and foreign language education, content-based instruction is not a fully revolutionary paradigm, but a spin-off approach which derives from the evolution of Communicative Language Teaching. Sharing with CLT the same fundamental principies, CBI bases its idiosyncrasy on promoting the use of subject matter for secondlforeign language teaching purposes. This article aims at exploring the nature and scope of the content-based methodological framework -the whats-, the theoretical foundations that support it -the whys-, and the different prototype models for application in compliance with parameters such as institutional requirements, educational leve], and the particular nature and object of instruction -the hows. Additionally, it will also undertake a review of a copious nurnber of references selected from the existing literature, mostly contributed by researchers and experienced practitioners in the field -the whos.

Declarative vs. Procedural Memory: Roles in Second Language Acquisition

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Laleh Fakhraee Faruji

2012-04-01

Full Text Available Memory is not a single faculty but is a combination of multiple distinct abilities (Schacter, 1987. The declarative-procedural distinction is used both with regard to knowledge and memory that stores this knowledge. Ellis (2008 used the terms explicit/implicit, and declarative/procedural interchangeably. In this article the researcher aims at identifying the different aspects of declarative/procedural memory, interaction between these two types of memory, and the role they may play in second language acquisition.

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.

Digital Game-Based Language Learning in Foreign Language Teacher Education

Science.gov (United States)

Alyaz, Yunus; Genc, Zubeyde Sinem

2016-01-01

New technologies including digital game-based language learning have increasingly received attention. However, their implementation is far from expected and desired levels due to technical, instructional, financial and sociological barriers. Previous studies suggest that there is a strong need to establish courses in order to support adaptation of…

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

Language learning, language use and the evolution of linguistic variation

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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.

Bayesian molecular design with a chemical language model

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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

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.

Introduction to the role of model of value-based medicine in the development of private hospitals

OpenAIRE

Shou-ping CHEN

2014-01-01

Value-based medicine is the tendency of modern medicine.This paper elaborated the properties of value-based medicine,analyzed the role of model of value-based medicine in modern medicine,and put forward ideas and related measures with the model of value-based medicine to promote the development of private hospitals, which provided some reference for development of private hospitals. 

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.

REDEFINING THE POTENTIAL ROLE OF CHARISMATIC LANGUAGE TEACHERS IN CREATING SUPPORTIVE ACADEMIC ATMOSPHERE THROUGH STUDENTS’ MOTIVATIONAL AROUSAL

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Adi Suryani

2016-06-01

Full Text Available Charismatic language teachers have considerable potentials to nurture motivations in their students. They have personal magnetism which frequently they exhibit through their characters, communication, and how they develop relationship with their students. Charismatic teachers tend to be energetic, emphatic, warm, express confidence, love challenge, communicate vision, develop warm communication, put concern, trust, be inspiring and motivational. These characters allow them to be role model and inspire their motivation to their students. Their trusting behaviour also can lead to the creation of supportive classroom climate since supportive learning situation needs sense of autonomy. By having this sense of autonomy, students can voice their perspectives, beliefs and finally develop their autonomy self-regulation. By using their personal aura, charismatic language teachers can stimulate their students’ inner motivation.

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.

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

Towards tool support for spreadsheet-based domain-specific languages

DEFF Research Database (Denmark)

Adam, Marian Sorin; Schultz, Ulrik Pagh

2015-01-01

Spreadsheets are commonly used by non-programmers to store data in a structured form, this data can in some cases be considered to be a program in a domain-specific language (DSL). Unlike ordinary text-based domain-specific languages, there is however currently no formalism for expressing...... the syntax of such spreadsheet-based DSLs (SDSLs), and there is no tool support for automatically generating language infrastructure such as parsers and IDE support. In this paper we define a simple notion of two-dimensional grammars for SDSLs, and show how such grammars can be used for automatically...

The road to language learning is iconic: evidence from British Sign Language.

Science.gov (United States)

Thompson, Robin L; Vinson, David P; Woll, Bencie; Vigliocco, Gabriella

2012-12-01

An arbitrary link between linguistic form and meaning is generally considered a universal feature of language. However, iconic (i.e., nonarbitrary) mappings between properties of meaning and features of linguistic form are also widely present across languages, especially signed languages. Although recent research has shown a role for sign iconicity in language processing, research on the role of iconicity in sign-language development has been mixed. In this article, we present clear evidence that iconicity plays a role in sign-language acquisition for both the comprehension and production of signs. Signed languages were taken as a starting point because they tend to encode a higher degree of iconic form-meaning mappings in their lexicons than spoken languages do, but our findings are more broadly applicable: Specifically, we hypothesize that iconicity is fundamental to all languages (signed and spoken) and that it serves to bridge the gap between linguistic form and human experience.

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.

An online english course using a task-based language teaching: the teacher as an agent of choice

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Denise Elaine Emidio

2016-10-01

Full Text Available Since the advent of the new technologies, the language teaching came across to a virtual learning environment. In an attempt to consider the principles of the communicative approach (ALMEIDA FILHO, 2002, 2005, 2012 and the task-based language teaching (TBLT (SKEHAN, 1996; XAVIER 1999, 2007; BARBIRATO 1999, 2005 an online English course was offered in the Moodle platform to students of technical, technological and Undergraduate courses from a Federal institution of technology. The theme chosen for the course was Inventors and Inventions and the thematic units contemplated aspects of Nikola Tesla’s and Leonardo da Vinci’s lives and inventions. The purpose of this article, therefore, is to present and discuss results derived from a doctoral research analyzing the teacher’s role in the preparation of thematic material based on tasks for the online English course in the Moodle. The data analysis pointed out to the very important role of the teacher in the challenges and choices along the process of the material elaboration.

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...

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

Science.gov (United States)

Munoz Fernandez, Michela Miche

2014-01-01

The potential of Model Model Systems Engineering (MBSE) using the Architecture Analysis and Design Language (AADL) applied to space systems will be described. AADL modeling is applicable to real-time embedded systems- the types of systems NASA builds. A case study with the Juno mission to Jupiter showcases how this work would enable future missions to benefit from using these models throughout their life cycle from design to flight operations.

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.

MENTAL STATE LANGUAGE DEVELOPMENT: THE LONGITUDINAL ROLES OF ATTACHMENT AND MATERNAL LANGUAGE.

Science.gov (United States)

Becker Razuri, Erin; Hiles Howard, Amanda R; Purvis, Karyn B; Cross, David R

2017-05-01

Maternal mental state language is thought to influence children's mental state language and sociocognitive understanding (e.g., theory of mind), but the mechanism is unclear. The current study examined the longitudinal development of mental state language in mother-child interactions. The methodology included assessments of the child and/or mother-child dyad at six time points between 12 to 52 months of the child's age. Measures determined child's attachment style and language abilities, and mental state language used by mother and child during a block-building task. Results showed that (a) mental state talk, including belief and desire language, increased over time; (b) there were differences between the type of mental state words used by the mother in insecure versus secure dyads; (c) there were differences in patterns of mental state words used in both mothers and children in insecure versus secure dyads; and (d) attachment appeared to exert a consistent influence over time. © 2017 Michigan Association for Infant Mental Health.

Implementing Task-Based Language Teaching to Integrate Language Skills in an EFL Program at a Colombian University

Science.gov (United States)

Córdoba Zúñiga, Eulices

2016-01-01

This article reports the findings of a qualitative research study conducted with six first semester students of an English as a foreign language program in a public university in Colombia. The aim of the study was to implement task-based language teaching as a way to integrate language skills and help learners to improve their communicative…

Preverbal Infants Infer Third-Party Social Relationships Based on Language

Science.gov (United States)

Liberman, Zoe; Woodward, Amanda L.; Kinzler, Katherine D.

2017-01-01

Language provides rich social information about its speakers. For instance, adults and children make inferences about a speaker's social identity, geographic origins, and group membership based on her language and accent. Although infants prefer speakers of familiar languages (Kinzler, Dupoux, & Spelke, 2007), little is known about the…

Introduction to the role of model of value-based medicine in the development of private hospitals

Directory of Open Access Journals (Sweden)

Shou-ping CHEN

2014-01-01

Full Text Available Value-based medicine is the tendency of modern medicine.This paper elaborated the properties of value-based medicine,analyzed the role of model of value-based medicine in modern medicine,and put forward ideas and related measures with the model of value-based medicine to promote the development of private hospitals, which provided some reference for development of private hospitals. 

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

Writing through Two Languages: First Language Expertise in a Language Minority Classroom

Science.gov (United States)

Kibler, Amanda

2010-01-01

Language minority students' writing is often measured solely in terms of its distance from native speaker norms, yet doing so may ignore the process through which these texts are realized and the role that the first language plays in their creation. This study analyzes oral interactions among adolescent second language writers during an extended…

Tibetan Language at Home in the Diaspora: The Mother Tongue-Based Bilingual Schooling of Tibetans in India

Science.gov (United States)

Phuntsog, Nawang

2018-01-01

This conceptual paper reports the rare and unprecedented mother tongue based schooling of Tibetan children in exile in India as a success story that can serve as a model for displaced and indigenous peoples. A brief historical development of Tibetan language is offered to highlight the circuitous journey of Tibetan language from the indigenous to…