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.

A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.

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.

An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports, and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other.

In this introduction to computational modelling the authors provide a concise description of computational methods, including dynamic simulation, knowledge-based models and machine learning, as a single broad class of research tools.

"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"--

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.

An overview of the emerging discipline of computational developmental psychology, emphasizing the use of constructivist neural networks. Despite decades of scientific research, the core issues of child development remain too complex to be explained by traditional verbal theories. These issues include structure and transition, representation and processing, innate and experiential determinants of development, stages of development, the purpose and end of development, and the relation between knowledge and learning. In this book Thomas Shultz shows how computational modeling can be used to capture these complex phenomena, and in so doing he lays the foundation for a new subfield of developmental psychology, computational developmental psychology. A principal approach in developmental thinking is the constructivist one. Constructivism is the Piagetian view that the child builds new cognitive structures by using current mental structures to understand new events. In this book Shultz features constructivist models employing networks that grow as well as learn. This allows models to implement synaptogenesis and neurogenesis in a way that allows qualitative changes in processing mechanisms. The book's appendices provide additional background on the mathematical concepts used, and a companion Web site contains easy-to-use computational packages.

This updated second edition provides a comprehensive overview of research into reading, and how this can be applied in practice.

Provides an overview of state-of-the-art research on the science of reading, revised and updated throughout The Science of Reading presents the most recent advances in the study of reading and related skills. Bringing together contributions from a multidisciplinary team of experts, this comprehensive volume reviews theoretical approaches, stage models of reading, cross-linguistic studies of reading, reading instruction, the neurobiology of reading, and more. Divided into six parts, the book explores word recognition processes in skilled reading, learning to read and spell, reading comprehension and its development, reading and writing in different languages, developmental and acquired reading disorders, and the social, biological, and environmental factors of literacy. The second edition of The Science of Reading is extensively revised to reflect contemporary theoretical insights and methodological advances. Two entirely new chapters on co-occurrence and complexity are accompanied by reviews of recent findings and discussion of future trends and research directions. Updated chapters cover the development of reading and language in preschools, the social correlates of reading, experimental research on sentence processing, learning to read in alphabetic orthographies, comorbidities that occur frequently with dyslexia, and other central topics. Demonstrates how different knowledge sources underpin reading processes using a wide range of methodologies Presents critical appraisals of theoretical and computational models of word recognition and evidence-based research on reading intervention Reviews evidence on skilled visual word recognition, the role of phonology, methods for identifying dyslexia, and the molecular genetics of reading and language Highlights the importance of language as a foundation for literacy and as a risk factor for developmental dyslexia and other reading disorders Discusses learning to read in different types of writing systems, with a language impairment, and in variations of the home literacy environment Describes the role of contemporary analytical tools such as dominance analysis and quantile regression in modelling the development of reading and comprehension Part of the acclaimed Wiley Blackwell Handbooks of Developmental Psychology series, the second edition of The Science of Reading: A Handbook remains an invaluable resource for advanced students, researchers, and specialist educators looking for an up-to-date overview of the field.