language cognition and computational models

Download Book Language Cognition And Computational Models in PDF format. You can Read Online Language Cognition And Computational Models here in PDF, EPUB, Mobi or Docx formats.

Language Cognition And Computational Models

Author : Thierry Poibeau
ISBN : 9781107162228
Genre : Computers
File Size : 47. 23 MB
Format : PDF, ePub, Mobi
Download : 912
Read : 964

Download Now

This book uses recent computational models to explore issues related to language and cognition.

Modeling Language Cognition And Action

Author :
ISBN : 9789814480413
Genre :
File Size : 86. 13 MB
Format : PDF, Docs
Download : 109
Read : 1274

Download Now

Anaphora Processing

Author : António Branco
ISBN : 9027247773
Genre : Language Arts & Disciplines
File Size : 28. 2 MB
Format : PDF, ePub, Mobi
Download : 846
Read : 656

Download Now

Anaphora processing is a central topic in the study of natural language and has long been the object of research in a wide range of disciplines. The correct interpretation of anaphora has also become increasingly important for real-world natural language processing applications, including machine translation, automatic abstracting, information extraction and question answering. This volume provides a unique overview of the processing of anaphora from a multi- and inter-disciplinary angle. It will be of interest and practical use to readers from fields as diverse as theoretical linguistics, corpus linguistics, computational linguistics, computer science, natural language processing, artificial intelligence, human language technology, psycholinguistics, cognitive science and translation studies. The readership includes but is not limited to university lecturers, researchers, postgraduate and senior undergraduate students.

Computational Modeling Of Human Language Acquisition

Author : Afra Alishahi
ISBN : 9781608453399
Genre : Computers
File Size : 46. 26 MB
Format : PDF, Kindle
Download : 560
Read : 1153

Download Now

Human language acquisition has been studied for centuries, but using computational modeling for such studies is a relatively recent trend. However, computational approaches to language learning have become increasingly popular, mainly due to advances in developing machine learning techniques, and the availability of vast collections of experimental data on child language learning and child-adult interaction. Many of the existing computational models attempt to study the complex task of learning a language under cognitive plausibility criteria (such as memory and processing limitations that humans face), and to explain the developmental stages observed in children. By simulating the process of child language learning, computational models can show us which linguistic representations are learnable from the input that children have access to, and which mechanisms yield the same patterns of behaviour that children exhibit during this process. In doing so, computational modeling provides insight into the plausible mechanisms involved in human language acquisition, and inspires the development of better language models and techniques. This book provides an overview of the main research questions in the field of human language acquisition. It reviews the most commonly used computational frameworks, methodologies and resources for modeling child language learning, and the evaluation techniques used for assessing these computational models. The book is aimed at cognitive scientists who want to become familiar with the available computational methods for investigating problems related to human language acquisition, as well as computational linguists who are interested in applying their skills to the study of child language acquisition. Different aspects of language learning are discussed in separate chapters, including the acquisition of the individual words, the general regularities which govern word and sentence form, and the associations between form and meaning. For each of these aspects, the challenges of the task are discussed and the relevant empirical findings on children are summarized. Furthermore, the existing computational models that attempt to simulate the task under study are reviewed, and a number of case studies are presented. Table of Contents: Overview / Computational Models of Language Learning / Learning Words / Putting Words Together / Form--Meaning Associations / Final Thoughts

Cognitive Aspects Of Computational Language Acquisition

Author : Aline Villavicencio
ISBN : 9783642318634
Genre : Computers
File Size : 78. 1 MB
Format : PDF, Docs
Download : 400
Read : 649

Download Now

Questions related to language acquisition have been of interest for many centuries, as children seem to acquire a sophisticated capacity for processing language with apparent ease, in the face of ambiguity, noise and uncertainty. However, with recent advances in technology and cognitive-related research it is now possible to conduct large-scale computational investigations of these issues The book discusses some of the latest theoretical and practical developments in the areas involved, including computational models for language tasks, tools and resources that help to approximate the linguistic environment available to children during acquisition, and discussions of challenging aspects of language that children have to master. This is a much-needed collection that provides a cross-section of recent multidisciplinary research on the computational modeling of language acquisition. It is targeted at anyone interested in the relevance of computational techniques for understanding language acquisition. Readers of this book will be introduced to some of the latest approaches to these tasks including: * Models of acquisition of various types of linguistic information (from words to syntax and semantics) and their relevance to research on human language acquisition * Analysis of linguistic and contextual factors that influence acquisition * Resources and tools for investigating these tasks Each chapter is presented in a self-contained manner, providing a detailed description of the relevant aspects related to research on language acquisition, and includes illustrations and tables to complement these in-depth discussions. Though there are no formal prerequisites, some familiarity with the basic concepts of human and computational language acquisition is beneficial.

Language Cognition And Human Nature

Author : Steven Pinker
ISBN : 9780199328758
Genre : Psychology
File Size : 71. 17 MB
Format : PDF, ePub, Mobi
Download : 152
Read : 941

Download Now

Language, Cognition, and Human Nature collects together for the first time much of Steven Pinker's most influential scholarly work on language and cognition. Pinker's seminal research explores the workings of language and its connections to cognition, perception, social relationships, child development, human evolution, and theories of human nature. This eclectic collection spans Pinker's thirty-year career, exploring his favorite themes in greater depth and scientific detail. It includes thirteen of Pinker's classic articles, ranging over topics such as language development in children, mental imagery, the recognition of shapes, the computational architecture of the mind, the meaning and uses of verbs, the evolution of language and cognition, the nature-nurture debate, and the logic of innuendo and euphemism. Each outlines a major theory or takes up an argument with another prominent scholar, such as Stephen Jay Gould, Noam Chomsky, or Richard Dawkins. Featuring a new introduction by Pinker that discusses his books and scholarly work, this collection reflects essential contributions to cognitive science by one of our leading thinkers and public intellectuals.

Computational Models Of Referring

Author : Kees van Deemter
ISBN : 9780262034555
Genre : Computers
File Size : 62. 61 MB
Format : PDF, ePub
Download : 788
Read : 268

Download Now

An argument that computational models can shed light on referring, a fundamental and much-studied aspect of communication.

Language And Cognition

Author : Kuniyoshi L. Sakai
ISBN : 9782889196272
Genre :
File Size : 21. 59 MB
Format : PDF, ePub, Mobi
Download : 550
Read : 158

Download Now

Interaction between language and cognition remains an unsolved scientific problem. What are the differences in neural mechanisms of language and cognition? Why do children acquire language by the age of six, while taking a lifetime to acquire cognition? What is the role of language and cognition in thinking? Is abstract cognition possible without language? Is language just a communication device, or is it fundamental in developing thoughts? Why are there no animals with human thinking but without human language? Combinations even among 100 words and 100 objects (multiple words can represent multiple objects) exceed the number of all the particles in the Universe, and it seems that no amount of experience would suffice to learn these associations. How does human brain overcome this difficulty? Since the 19th century we know about involvement of Broca’s and Wernicke’s areas in language. What new knowledge of language and cognition areas has been found with fMRI and other brain imaging methods? Every year we know more about their anatomical and functional/effective connectivity. What can be inferred about mechanisms of their interaction, and about their functions in language and cognition? Why does the human brain show hemispheric (i.e., left or right) dominance for some specific linguistic and cognitive processes? Is understanding of language and cognition processed in the same brain area, or are there differences in language-semantic and cognitive-semantic brain areas? Is the syntactic process related to the structure of our conceptual world? Chomsky has suggested that language is separable from cognition. On the opposite, cognitive and construction linguistics emphasized a single mechanism of both. Neither has led to a computational theory so far. Evolutionary linguistics has emphasized evolution leading to a mechanism of language acquisition, yet proposed approaches also lead to incomputable complexity. There are some more related issues in linguistics and language education as well. Which brain regions govern phonology, lexicon, semantics, and syntax systems, as well as their acquisitions? What are the differences in acquisition of the first and second languages? Which mechanisms of cognition are involved in reading and writing? Are different writing systems affect relations between language and cognition? Are there differences in language-cognition interactions among different language groups (such as Indo-European, Chinese, Japanese, Semitic) and types (different degrees of analytic-isolating, synthetic-inflected, fused, agglutinative features)? What can be learned from sign languages? Rizzolatti and Arbib have proposed that language evolved on top of earlier mirror-neuron mechanism. Can this proposal answer the unknown questions about language and cognition? Can it explain mechanisms of language-cognition interaction? How does it relate to known brain areas and their interactions identified in brain imaging? Emotional and conceptual contents of voice sounds in animals are fused. Evolution of human language has demanded splitting of emotional and conceptual contents and mechanisms, although language prosody still carries emotional content. Is it a dying-off remnant, or is it fundamental for interaction between language and cognition? If language and cognitive mechanisms differ, unifying these two contents requires motivation, hence emotions. What are these emotions? Can they be measured? Tonal languages use pitch contours for semantic contents, are there differences in language-cognition interaction among tonal and atonal languages? Are emotional differences among cultures exclusively cultural, or also depend on languages? Interaction of language and cognition is thus full of mysteries, and we encourage papers addressing any aspect of this topic.

Theoretical And Computational Models Of Word Learning Trends In Psychology And Artificial Intelligence

Author : Gogate, Lakshmi
ISBN : 9781466629745
Genre : Computers
File Size : 57. 17 MB
Format : PDF, Kindle
Download : 884
Read : 963

Download Now

The process of learning words and languages may seem like an instinctual trait, inherent to nearly all humans from a young age. However, a vast range of complex research and information exists in detailing the complexities of the process of word learning. Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence strives to combine cross-disciplinary research into one comprehensive volume to help readers gain a fuller understanding of the developmental processes and influences that makeup the progression of word learning. Blending together developmental psychology and artificial intelligence, this publication is intended for researchers, practitioners, and educators who are interested in language learning and its development as well as computational models formed from these specific areas of research.

The Handbook Of The Neuropsychology Of Language 2 Volume Set

Author : Miriam Faust
ISBN : 9781444330403
Genre : Psychology
File Size : 32. 93 MB
Format : PDF, Kindle
Download : 503
Read : 1247

Download Now

This handbook provides a comprehensive review of new developments in the study of the relationship between the brain and language, from the perspectives of both basic research and clinical neuroscience. Includes contributions from an international team of leading figures in brain-language research Features a novel emphasis on state-of-the-art methodologies and their application to the central questions in the brain-language relationship Incorporates research on all parts of language, from syntax and semantics to spoken and written language Covers a wide range of issues, including basic level and high level linguistic functions, individual differences, and neurologically intact and different clinical populations

Top Download:

Best Books