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Theoretical And Computational Models Of Word Learning
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Book Synopsis Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence by : Gogate, Lakshmi
Download or read book Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence written by Gogate, Lakshmi and published by IGI Global. This book was released on 2013-02-28 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Theoretical and Computational Models of Word Learning by : Lakshmi Gogate
Download or read book Theoretical and Computational Models of Word Learning written by Lakshmi Gogate and published by . This book was released on 2013 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Modeling of Human Language Acquisition by : Afra Alishahi
Download or read book Computational Modeling of Human Language Acquisition written by Afra Alishahi and published by Springer Nature. This book was released on 2022-06-01 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Understanding Language Understanding by : Ashwin Ram
Download or read book Understanding Language Understanding written by Ashwin Ram and published by MIT Press. This book was released on 1999 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge research relevant to the building of a computational model of reading comprehension, as in the processing and understanding of a natural language text or story. The book takes an interdisciplinary approach to the study of reading, with contributions from computer science, psychology, and philosophy. Contributors cover the theoretical and psychological foundations of the research in discussions of what it means to understand a text, how one builds a computational model, and related issues in knowledge representation and reasoning. The book also addresses some of the broader issues that a natural language system must deal with, such as reading in context, linguistic novelty, and information extraction.
Book Synopsis Cognitive Aspects of Computational Language Acquisition by : Aline Villavicencio
Download or read book Cognitive Aspects of Computational Language Acquisition written by Aline Villavicencio and published by Springer Science & Business Media. This book was released on 2013-01-11 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Early Word Learning by : Gert Westermann
Download or read book Early Word Learning written by Gert Westermann and published by Routledge. This book was released on 2017-11-10 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early Word Learning explores the processes leading to a young child learning words and their meanings. Word learning is here understood as the outcome of overlapping and interacting processes, starting with an infant’s learning of native speech sounds to segmenting proto-words from fluent speech, mapping individual words to meanings in the face of natural variability and uncertainty, and developing a structured mental lexicon. Experts in the field review the development of early lexical acquisition from empirical, computational and theoretical perspectives to examine the development of skilled word learning as the outcome of a process that begins even before birth and spans the first two years of life. Drawing on cutting-edge research in infant eye-tracking, neuroimaging techniques and computational modelling, this book surveys the field covering both established results and the most recent advances in word learning research. Featuring chapters from international experts whose research approaches the topic from these diverse perspectives using different methodologies, this book provides a comprehensive yet coherent and unified representation of early word learning. It will be invaluable for both undergraduate and postgraduate courses in early language development as well as being of interest to researchers interested in lexical development.
Book Synopsis Neurocomputational Models of Cognitive Development and Processing by : Katherine Twomey
Download or read book Neurocomputational Models of Cognitive Development and Processing written by Katherine Twomey and published by World Scientific. This book was released on 2016-09-29 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents peer-reviewed versions of papers presented at the 14th Neural Computation and Psychology Workshop (NCPW14), which took place in July 2014 at Lancaster University, UK. The workshop draws international attendees from the cutting edge of interdisciplinary research in psychology, computational modeling, artificial intelligence and psychology, and aims to drive forward our understanding of the mechanisms underlying a range of cognitive processes.
Book Synopsis The Cambridge Handbook of Psycholinguistics by : Michael Spivey
Download or read book The Cambridge Handbook of Psycholinguistics written by Michael Spivey and published by Cambridge University Press. This book was released on 2012-08-20 with total page 1297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our ability to speak, write, understand speech and read is critical to our ability to function in today's society. As such, psycholinguistics, or the study of how humans learn and use language, is a central topic in cognitive science. This comprehensive handbook is a collection of chapters written not by practitioners in the field, who can summarize the work going on around them, but by trailblazers from a wide array of subfields, who have been shaping the field of psycholinguistics over the last decade. Some topics discussed include how children learn language, how average adults understand and produce language, how language is represented in the brain, how brain-damaged individuals perform in terms of their language abilities and computer-based models of language and meaning. This is required reading for advanced researchers, graduate students and upper-level undergraduates who are interested in the recent developments and the future of psycholinguistics.
Book Synopsis Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies by : Sarfraz, Muhammad
Download or read book Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies written by Sarfraz, Muhammad and published by IGI Global. This book was released on 2014-04-30 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.
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 Computational Models of Reading by : Erik D. Reichle
Download or read book Computational Models of Reading written by Erik D. Reichle and published by Oxford University Press. This book was released on 2021 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book describes computational models of reading, or models that simulate and explain the mental processes that support the reading of text. The book provides introductory chapters on both reading research and computer models. The central chapters of the book then review what has been learned about reading from empirical research on four core reading processes: word identification, sentence processing, discourse representation, and how these three processes are coordinated with visual processing, attention, and eye-movement control. These central chapters also review an influential sample of computer models that have been developed to explain these key empirical findings, as well as comparative analyses of those models. The final chapter attempts to integrate this empirical and theoretical work be both describing a new comprehensive model of reading, Über-Reader, and reporting several simulations to illustrate how the model accounts for many of the basic phenomena related to reading"--
Book Synopsis Current Perspectives on Child Language Acquisition by : Caroline F. Rowland
Download or read book Current Perspectives on Child Language Acquisition written by Caroline F. Rowland and published by John Benjamins Publishing Company. This book was released on 2020-09-15 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years the field has seen an increasing realisation that the full complexity of language acquisition demands theories that (a) explain how children integrate information from multiple sources in the environment, (b) build linguistic representations at a number of different levels, and (c) learn how to combine these representations in order to communicate effectively. These new findings have stimulated new theoretical perspectives that are more centered on explaining learning as a complex dynamic interaction between the child and her environment. This book is the first attempt to bring some of these new perspectives together in one place. It is a collection of essays written by a group of researchers who all take an approach centered on child-environment interaction, and all of whom have been influenced by the work of Elena Lieven, to whom this collection is dedicated.
Book Synopsis Implications of Psycho-computational Modelling for Morphological Theory by : Vito Pirrelli
Download or read book Implications of Psycho-computational Modelling for Morphological Theory written by Vito Pirrelli and published by Frontiers Media SA. This book was released on 2022-07-12 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deconstructing Stigma in Mental Health by : Canfield, Brittany A.
Download or read book Deconstructing Stigma in Mental Health written by Canfield, Brittany A. and published by IGI Global. This book was released on 2018-05-11 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stigma continues to play an integral role in the multifaceted issues facing mental health. While identifying a clear operational definition of stigma has been a challenge in the field, the issues related to stigma grossly affect not only the mental health population but society as a whole. Deconstructing Stigma in Mental Health provides emerging research on issues related to stigma as a whole including ignorance, prejudice, and discrimination. While highlighting issues such as stigma and its role in mental health and how stigma is perpetuated in society, this publication explores the historical context of stigma, current issues and resolutions through intersectional collaboration, and the deconstruction of mental health stigmas. This book is a valuable resource for mental health administrators and clinicians, researchers, educators, policy makers, and psychology professionals seeking information on current mental health stigma trends.
Book Synopsis The Cambridge Handbook of Computational Psychology by : Ron Sun
Download or read book The Cambridge Handbook of Computational Psychology written by Ron Sun and published by Cambridge University Press. This book was released on 2008-04-28 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
Book Synopsis Dynamic Thinking by : Gregor Schöner
Download or read book Dynamic Thinking written by Gregor Schöner and published by Oxford University Press. This book was released on 2015-11-12 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dynamic Thinking: A Primer on Dynamic Field Theory introduces the reader to a new approach to understanding cognitive and neural dynamics using the concepts of Dynamic Field Theory (DFT). Dynamic Neural Fields are formalizations of how neural populations represent the continuous dimensions of perceptual features, movements, and cognitive decisions. The concepts of DFT establish links between brain and behavior, revealing ways in which models of brain function can be tested with both neural and behavioral measures. Thus, DFT bridges the gap between brain and behavior, between neuroscience and the behavioral sciences. The book provides systematic tutorials on the central concepts of DFT and their grounding in both dynamical systems theory and neurophysiology. The concrete mathematical implementation of these concepts is laid out, supported by hands-on exercises that make use of interactive simulators in MATLAB. The book also contains a large set of exemplary case studies in which the concepts and associated models are used to understand how elementary forms of embodied cognition emerge and develop.
Author :Hinrich Schütze Publisher :Center for the Study of Language and Information Publications ISBN 13 :9781575860749 Total Pages :230 pages Book Rating :4.8/5 (67 download)
Book Synopsis Ambiguity Resolution in Language Learning by : Hinrich Schütze
Download or read book Ambiguity Resolution in Language Learning written by Hinrich Schütze and published by Center for the Study of Language and Information Publications. This book was released on 1997-05-13 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is concerned with how ambiguity and ambiguity resolution are learned, that is, with the acquisition of the different representations of ambiguous linguistic forms and the knowledge necessary for selecting among them in context. Schütze concentrates on how the acquisition of ambiguity is possible in principle and demonstrates that particular types of algorithms and learning architectures (such as unsupervised clustering and neural networks) can succeed at the task. Three types of lexical ambiguity are treated: ambiguity in syntactic categorisation, semantic categorisation, and verbal subcategorisation. The volume presents three different models of ambiguity acquisition: Tag Space, Word Space, and Subcat Learner, and addresses the importance of ambiguity in linguistic representation and its relevance for linguistic innateness.
