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Modèles Et Modélisation en Linguistique / Models and Modelisation in Linguistics

Modèles Et Modélisation en Linguistique / Models and Modelisation in Linguistics PDF Author: Viviane Arigne
Publisher: P.I.E-Peter Lang S.A., Editions Scientifiques Internationales
ISBN: 9782875745125
Category : Language and languages
Languages : en
Pages : 0

Book Description
L'ouvrage soumet à l'examen certains modèles de la linguistique, cet examen pouvant être la comparaison de cadres théoriques ou encore l'analyse de modélisations, qu'il s'agisse de théorisation implicite ou en construction, cette dernière pouvant prendre la forme d'une activité épilinguistique ou d'une pensée métalinguistique explicite.

Modèles Et Modélisation en Linguistique / Models and Modelisation in Linguistics

Modèles Et Modélisation en Linguistique / Models and Modelisation in Linguistics PDF Author: Viviane Arigne
Publisher: P.I.E-Peter Lang S.A., Editions Scientifiques Internationales
ISBN: 9782875745125
Category : Language and languages
Languages : en
Pages : 0

Book Description
L'ouvrage soumet à l'examen certains modèles de la linguistique, cet examen pouvant être la comparaison de cadres théoriques ou encore l'analyse de modélisations, qu'il s'agisse de théorisation implicite ou en construction, cette dernière pouvant prendre la forme d'une activité épilinguistique ou d'une pensée métalinguistique explicite.

Computational Cognitive Modeling and Linguistic Theory

Computational Cognitive Modeling and Linguistic Theory PDF Author: Adrian Brasoveanu
Publisher: Springer Nature
ISBN: 303031846X
Category : Language and languages
Languages : en
Pages : 299

Book Description
This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson's ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth) .

Modelling Language

Modelling Language PDF Author: Sylviane Cardey
Publisher: John Benjamins Publishing
ISBN: 9027272085
Category : Computers
Languages : en
Pages : 208

Book Description
In response to the need for reliable results from natural language processing, this book presents an original way of decomposing a language(s) in a microscopic manner by means of intra/inter‑language norms and divergences, going progressively from languages as systems to the linguistic, mathematical and computational models, which being based on a constructive approach are inherently traceable. Languages are described with their elements aggregating or repelling each other to form viable interrelated micro‑systems. The abstract model, which contrary to the current state of the art works in intension, is exploitable for all sorts of applications where only the elements which are useful are assembled in the micro‑systems needed to solve the problem in hand. Numerous definitions, schemata and examples involving many languages make the book accessible to students as well as academics and industrial researchers looking for new theories and methodologies for representations and problem solving wherever language and quality meet.

Language Modeling for Information Retrieval

Language Modeling for Information Retrieval PDF Author: W. Bruce Croft
Publisher: Springer Science & Business Media
ISBN: 9401701717
Category : Computers
Languages : en
Pages : 253

Book Description
A statisticallanguage model, or more simply a language model, is a prob abilistic mechanism for generating text. Such adefinition is general enough to include an endless variety of schemes. However, a distinction should be made between generative models, which can in principle be used to synthesize artificial text, and discriminative techniques to classify text into predefined cat egories. The first statisticallanguage modeler was Claude Shannon. In exploring the application of his newly founded theory of information to human language, Shannon considered language as a statistical source, and measured how weH simple n-gram models predicted or, equivalently, compressed natural text. To do this, he estimated the entropy of English through experiments with human subjects, and also estimated the cross-entropy of the n-gram models on natural 1 text. The ability of language models to be quantitatively evaluated in tbis way is one of their important virtues. Of course, estimating the true entropy of language is an elusive goal, aiming at many moving targets, since language is so varied and evolves so quickly. Yet fifty years after Shannon's study, language models remain, by all measures, far from the Shannon entropy liInit in terms of their predictive power. However, tbis has not kept them from being useful for a variety of text processing tasks, and moreover can be viewed as encouragement that there is still great room for improvement in statisticallanguage modeling.

Usage-based Models of Language

Usage-based Models of Language PDF Author: Michael Barlow
Publisher: Stanford Univ Center for the Study
ISBN: 9781575862194
Category : Language Arts & Disciplines
Languages : en
Pages : 356

Book Description
How do humans learn how to speak and understand language? For years, linguists have developed numerous models in attempts to explain humans' ability to communicate through language. Historically, these approaches were rooted and restricted in rule-based linguistic representations. Only recently has the field of linguistics been willing to forego formal representations and models to accommodate the usage-based perspective of studying language. Deviating from traditional methods, the contributions presented in this volume are among the first works to approach linguistic theory by developing and utilizing usage-based models. The contributing authors were among the principal leaders in their fields to leave behind rule-based linguistic representations in favor of constraint-based systems whose structural properties actually emerge from usage. The volume begins with an introductory chapter that defines contributors' interpretations of usage-based models and theories of language. The reason for the shift from formal linguistic theories to the gradual acceptance of usage-based models is also examined. Using methods such as Cognitive Grammar, the Lexical Network Model, Competition Model, Relational Network Theory, and Accessibility Theory, the selected works demonstrate how usage-based models evince far greater cognitive and neurological plausibility than algorithmic, generative models.

Ten Lectures on Cognitive Modeling

Ten Lectures on Cognitive Modeling PDF Author: Francisco José Ruiz de Mendoza Ibáñez
Publisher: Distinguished Lectures in Cogn
ISBN: 9789004439214
Category : Language Arts & Disciplines
Languages : en
Pages : 326

Book Description
"These lectures deal with the role of cognitive modelling in language-based meaning construction. To make meaning people use a small set of principles which they apply to different types of conceptual characterizations. This yields predictable meaning effects, which, when stably associated with specific grammatical patterns, result in constructions or fixed form-meaning parings. This means that constructional meaning can be described on the basis of the same principles that people use to make inferences. This way of looking at pragmatics and grammar through cognition allows us to relate a broad range of pragmatic and grammatical phenomena, among them argument-structure characterizations, implicational, illocutionary, and discourse structure, and such figures of speech as metaphor, metonymy, hyperbole, and irony"--

Computational Cognitive Modeling and Linguistic Theory

Computational Cognitive Modeling and Linguistic Theory PDF Author: Adrian Brasoveanu
Publisher:
ISBN: 9781013278259
Category : Language Arts & Disciplines
Languages : en
Pages : 298

Book Description
This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson's ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth) This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Analogical Modeling of Language

Analogical Modeling of Language PDF Author: R. Skousen
Publisher:
ISBN: 9789400919075
Category :
Languages : en
Pages : 228

Book Description


Modelling with Words

Modelling with Words PDF Author: Jonathan Lawry
Publisher: Springer Science & Business Media
ISBN: 9783540204879
Category : Computers
Languages : en
Pages : 252

Book Description
Modelling with Words is an emerging modelling methodology closely related to the paradigm of Computing with Words introduced by Lotfi Zadeh. This book is an authoritative collection of key contributions to the new concept of Modelling with Words. A wide range of issues in systems modelling and analysis is presented, extending from conceptual graphs and fuzzy quantifiers to humanist computing and self-organizing maps. Among the core issues investigated are - balancing predictive accuracy and high level transparency in learning - scaling linguistic algorithms to high-dimensional data problems - integrating linguistic expert knowledge with knowledge derived from data - identifying sound and useful inference rules - integrating fuzzy and probabilistic uncertainty in data modelling

Mathematical Models in Linguistics

Mathematical Models in Linguistics PDF Author: Maurice Gross
Publisher: Prentice Hall
ISBN:
Category : Language Arts & Disciplines
Languages : en
Pages : 186

Book Description