Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Formal Models In The Study Of Language
Download Formal Models In The Study Of Language full books in PDF, epub, and Kindle. Read online Formal Models In The Study Of Language ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Formal Models in the Study of Language by : Joanna Blochowiak
Download or read book Formal Models in the Study of Language written by Joanna Blochowiak and published by Springer. This book was released on 2017-03-20 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents articles that focus on the application of formal models in the study of language in a variety of innovative ways, and is dedicated to Jacques Moeschler, professor at University of Geneva, to mark the occasion of his 60th birthday. The contributions, by seasoned and budding linguists of all different linguistic backgrounds, reflect Jacques Moeschler’s diverse and visionary research over the years. The book contains three parts. The first part shows how different formal models can be applied to the analysis of such diverse problems as the syntax, semantics and pragmatics of tense, aspect and deictic expressions, syntax and pragmatics of quantifiers and semantics and pragmatics of connectives and negation. The second part presents the application of formal models to the treatment of cognitive issues related to the use of language, and in particular, demonstrating cognitive accounts of different types of human interactions, the context in utterance interpretation (salience, inferential comprehension processes), figurative uses of language (irony pretence), the role of syntax in Theory of Mind in autism and the analysis of the aesthetics of nature. Finally, the third part addresses computational and corpus-based approaches to natural language for investigating language variation, language universals and discourse related issues. This volume will be of great interest to syntacticians, pragmaticians, computer scientists, semanticians and psycholinguists.
Book Synopsis The Formal Complexity of Natural Language by : W.J. Savitch
Download or read book The Formal Complexity of Natural Language written by W.J. Savitch and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ever since Chomsky laid the framework for a mathematically formal theory of syntax, two classes of formal models have held wide appeal. The finite state model offered simplicity. At the opposite extreme numerous very powerful models, most notable transformational grammar, offered generality. As soon as this mathematical framework was laid, devastating arguments were given by Chomsky and others indicating that the finite state model was woefully inadequate for the syntax of natural language. In response, the completely general transformational grammar model was advanced as a suitable vehicle for capturing the description of natural language syntax. While transformational grammar seems likely to be adequate to the task, many researchers have advanced the argument that it is "too adequate. " A now classic result of Peters and Ritchie shows that the model of transformational grammar given in Chomsky's Aspects [IJ is powerful indeed. So powerful as to allow it to describe any recursively enumerable set. In other words it can describe the syntax of any language that is describable by any algorithmic process whatsoever. This situation led many researchers to reasses the claim that natural languages are included in the class of transformational grammar languages. The conclu sion that many reached is that the claim is void of content, since, in their view, it says little more than that natural language syntax is doable algo rithmically and, in the framework of modern linguistics, psychology or neuroscience, that is axiomatic.
Book Synopsis Computational Cognitive Modeling and Linguistic Theory by : Adrian Brasoveanu
Download or read book Computational Cognitive Modeling and Linguistic Theory written by Adrian Brasoveanu and published by Springer Nature. This book was released on 2020-01-01 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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) .
Book Synopsis Bio-Inspired Models for Natural and Formal Languages by : Gemma Bel-Enguix
Download or read book Bio-Inspired Models for Natural and Formal Languages written by Gemma Bel-Enguix and published by Cambridge Scholars Publishing. This book was released on 2011-01-18 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a collection of papers written by several researchers that have in common the use of bio-inspired models to approach formal and natural languages. The main goal of the volume is to promote interdisciplinarity among linguistics, biology and computation. The area of convergence between these three disciplines is giving rise to the emergence of new scientific paradigms that will have an epistemological, social and cultural impact. The book is organized around three thematic areas. Every area relates two of the three main topics: language, computation and biology. This volume stands out from existing publications because of its interdisciplinary nature. There has been a long tradition of interchanging methods among the aforementioned three disciplines, but it is difficult to find a single volume where this interchange of methods is shown. The volume includes chapters that clearly illustrate these interdisciplinary approaches and their benefits. This book will be of value to specialists who work in linguistics, biology or computation, and have interest in using methods from other disciplines that can provide new ideas, new tools and new formalisms to approach their problems, and that can help in the improvement of their theories and models.
Book Synopsis Formal Methods in the Study of Language by : Jeroen A. G. Groenendijk
Download or read book Formal Methods in the Study of Language written by Jeroen A. G. Groenendijk and published by . This book was released on 1981 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Formal Models, Languages and Applications by : K. G. Subramanian
Download or read book Formal Models, Languages and Applications written by K. G. Subramanian and published by World Scientific. This book was released on 2006 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of articles by leading experts in theoretical computer science, this volume commemorates the 75th birthday of Professor Rani Siromoney, one of the pioneers in the field in India. The articles span the vast range of areas that Professor Siromoney has worked in or influenced, including grammar systems, picture languages and new models of computation.
Author :Michael Barlow Publisher :Center for the Study of Language and Information Publications ISBN 13 :9781575862194 Total Pages :384 pages Book Rating :4.8/5 (621 download)
Book Synopsis Usage-Based Models of Language by : Michael Barlow
Download or read book Usage-Based Models of Language written by Michael Barlow and published by Center for the Study of Language and Information Publications. This book was released on 2000-05-18 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together papers by the foremost representatives of a range of theoretical and empirical approaches converging on a common goal: to account for language use, or how speakers actually speak and understand language. Crucial to a usage-based approach are frequency, statistical patterns, and, most generally, linguistic experience. Linguistic competence is not seen as cognitively-encapsulated and divorced from performance, but as a system continually shaped, from inception, by linguistic usage events. The authors represented here were among the first to leave behind rule-based linguistic representations in favour of constraint-based systems whose structural properties actually emerge from usage. Such emergentist systems evince far greater cognitive and neurological plausibility than algorithmic, generative models. Approaches represented here include Cognitive Grammar, the Lexical Network Model, Competition Model, Relational Network Model, and accessibility Theory. The empirical data come from phonological variation, syntactic change, psycholinguistic experiments, discourse, connectionist modelling of language acquisition, and linguistic corpora.
Book Synopsis Surface Syntax of English by : Igor? Aleksandrovi? Mel??uk
Download or read book Surface Syntax of English written by Igor? Aleksandrovi? Mel??uk and published by John Benjamins Publishing. This book was released on 1987 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first attempt to describe the syntax of Contemporary English exclusively in terms of dependencies (most American works on the subject being in terms of phrase structure, or constituency). The three main features of it are: (1) a fully formal presentation, (2) a reasonably complete coverage of English surface syntax, and (3) an exposition oriented towards human readers (rather than computers). The book can be recommended for several categories of readers: specialists in English syntax, linguists interested in general and theoretical syntax, computational linguists, researchers in related fields (including psychology and artificial intelligence) concerned with automatic processing (both synthesis and analysis) of English texts.
Book Synopsis Crosscurrents in Second Language Acquisition and Linguistic Theories by : Thom Huebner
Download or read book Crosscurrents in Second Language Acquisition and Linguistic Theories written by Thom Huebner and published by John Benjamins Publishing. This book was released on 1991-01-01 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term crosscurrent is defined as a current flowing counter to another. This volume represents crosscurrents in second language acquisition and linguistic theory in several respects. First, although the main currents running between linguistics and second language acquisition have traditionally flowed from theory to application, equally important contributions can be made in the other direction as well. Second, although there is a strong tendency in the field of linguistics to see theorists working within formal models of syntax, SLA research can contribute to linguistic theory more broadly defined to include various functional as well as formal models of syntax, theories of phonology, variationist theories of sociolinguists, etc. These assumptions formed the basis for a conference held at Stanford University during the Linguistic Institute there in the summer of 1987. The conference was organized to update the relation between second language acquisition and linguistic theory. This book contains a selection of (mostly revised and updated) papers of this conference and two newly written papers.
Book Synopsis Evidence and Formal Models in the Linguistic Sciences by : Carlos Gray Santana
Download or read book Evidence and Formal Models in the Linguistic Sciences written by Carlos Gray Santana and published by . This book was released on 2016 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation contains a collection of essays centered on the relationship between theoretical model-building and empirical evidence-gathering in linguistics and related language sciences. The first chapter sets the stage by demonstrating that the subject matter of linguistics is manifold, and contending that discussion of relationships between linguistic models, evidence, and language itself depends on the subject matter at hand. The second chapter defends a restrictive account of scientific evidence. I make use of this account in the third chapter, in which I argue that if my account of scientific evidence is correct, then linguistic intuitions do not generally qualify as scientific evidence. Drawing on both extant and original empirical work on linguistic intuitions, I explore the consequences of this conclusion for scientific practice. In the fourth and fifth chapters I examine two distinct ways in which theoretical models relate to the evidence. Chapter four looks at the way in which empirical evidence can support computer simulations in evolutionary linguistics by informing and constraining them. Chapter five, on the other hand, probes the limits of how models are constrained by the data, taking as a case study empirically-suspect but theoretically-useful intentionalist models of meaning.
Book Synopsis Computational Cognitive Modeling and Linguistic Theory by : Adrian Brasoveanu
Download or read book Computational Cognitive Modeling and Linguistic Theory written by Adrian Brasoveanu and published by Springer. This book was released on 2020-06-01 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Origin of Language by : Eric Lawrence Gans
Download or read book The Origin of Language written by Eric Lawrence Gans and published by Univ of California Press. This book was released on 1981-01-01 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algebraic Structures in Natural Language by : Shalom Lappin
Download or read book Algebraic Structures in Natural Language written by Shalom Lappin and published by CRC Press. This book was released on 2022-12-23 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language. Until recently algebraic systems have dominated the study of natural language in formal and computational linguistics, AI, and the psychology of language, with linguistic knowledge seen as encoded in formal grammars, model theories, proof theories and other rule-driven devices. Recent work on deep learning has produced an increasingly powerful set of general learning mechanisms which do not apply rule-based algebraic models of representation. The success of deep learning in NLP has led some researchers to question the role of algebraic models in the study of human language acquisition and linguistic representation. Psychologists and cognitive scientists have also been exploring explanations of language evolution and language acquisition that rely on probabilistic methods, social interaction and information theory, rather than on formal models of grammar induction. This book addresses the learning procedures through which humans acquire natural language, and the way in which they represent its properties. It brings together leading researchers from computational linguistics, psychology, behavioral science and mathematical linguistics to consider the significance of non-algebraic methods for the study of natural language. The text represents a wide spectrum of views, from the claim that algebraic systems are largely irrelevant to the contrary position that non-algebraic learning methods are engineering devices for efficiently identifying the patterns that underlying grammars and semantic models generate for natural language input. There are interesting and important perspectives that fall at intermediate points between these opposing approaches, and they may combine elements of both. It will appeal to researchers and advanced students in each of these fields, as well as to anyone who wants to learn more about the relationship between computational models and natural language.
Book Synopsis From Discourse to Logic by : Hans Kamp
Download or read book From Discourse to Logic written by Hans Kamp and published by Springer Science & Business Media. This book was released on 1993-07-31 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Preface This book is about semantics and logic. More specifically, it is about the semantics and logic of natural language; and, even more specifically than that, it is about a particular way of dealing with those subjects, known as Discourse Representation Theory, or DRT. DRT is an approach towards natural language semantics which, some thirteen years ago, arose out of attempts to deal with two distinct problems. The first of those was the semantic puzzle that had been brought to contempo rary attention by Geach's notorious "donkey sentences" - sentences like If Pedro owns some donkey, he beats it, in which the anaphoric connection we perceive between the indefinite noun phrase some donkey and the pronoun it may seem to conflict with the existential meaning of the word some. The second problem had to do with tense and aspect. Some languages, for instance French and the other Romance languages, have two morphologically distinct past tenses, a simple past (the French Passe Simple) and a continuous past (the French Imparfait). To articulate precisely what the difference between these tenses is has turned out to be surprisingly difficult.
Book Synopsis Supervised Machine Learning for Text Analysis in R by : Emil Hvitfeldt
Download or read book Supervised Machine Learning for Text Analysis in R written by Emil Hvitfeldt and published by CRC Press. This book was released on 2021-10-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.
Book Synopsis Linguistic Nativism and the Poverty of the Stimulus by : Alexander Clark
Download or read book Linguistic Nativism and the Poverty of the Stimulus written by Alexander Clark and published by John Wiley & Sons. This book was released on 2010-12-21 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique contribution to the ongoing discussion of language acquisition considers the Argument from the Poverty of the Stimulus in language learning in the context of the wider debate over cognitive, computational, and linguistic issues. Critically examines the Argument from the Poverty of the Stimulus - the theory that the linguistic input which children receive is insufficient to explain the rich and rapid development of their knowledge of their first language(s) through general learning mechanisms Focuses on formal learnability properties of the class of natural languages, considered from the perspective of several learning theoretic models The only current book length study of arguments for the poverty of the stimulus which focuses on the computational learning theoretic aspects of the problem
Book Synopsis Semantics-Oriented Natural Language Processing by : Vladimir Fomichov A.
Download or read book Semantics-Oriented Natural Language Processing written by Vladimir Fomichov A. and published by Springer Science & Business Media. This book was released on 2009-12-01 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gluecklich, die wissen, dass hinter allen Sprachen das Unsaegliche steht. Those are happy who know that behind all languages there is something unsaid Rainer Maria Rilke This book shows in a new way that a solution to a fundamental problem from one scienti?c ?eld can help to ?nd the solutions to important problems emerged in several other ?elds of science and technology. In modern science, the term “Natural Language” denotes the collection of all such languages that every language is used as a primary means of communication by people belonging to any country or any region. So Natural Language (NL) includes, in particular, the English, Russian, and German languages. The applied computer systems processing natural language printed or written texts (NL-texts) or oral speech with respect to the fact that the words are associated with some meanings are called semantics-oriented natural language processing s- tems (NLPSs). On one hand, this book is a snapshot of the current stage of a research p- gram started many years ago and called Integral Formal Semantics (IFS) of NL. The goal of this program has been to develop the formal models and methods he- ing to overcome the dif?culties of logical character associated with the engineering of semantics-oriented NLPSs. The designers of such systems of arbitrary kinds will ?nd in this book the formal means and algorithms being of great help in their work.
