This book describes a study on the question of what sort of innate knowledge it is that enables children to acquire a first language. The author, using a computational approach, builds a model, named BUD (Bring Up a Daughter), on the basis of the data linguists and psychologists have collected.BUD is based on the empirists, view of first language acquisition (as opposed to that of the nativists'), that children make a number of rules in acquiring a first language and that over generalizations can be found in the acquisition of every aspect of a language. Thus, BUD has no built-in procedure by which it computes the structures of a language. A detailed description of the BUD model and its workings answers the question on which the study is based.
How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.
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
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.
This book deals with the phenomenon of third language (L3) acquisition. As a research field, L3 acquisition is established as a branch of multilingualism that is concerned with how multilinguals learn additional languages and the role that their multilingual background plays in the process of language learning. The volume points out some current directions in this particular research area with a number of studies that reveal the complexity of multilingual language learning and its typical variation and dynamics. The eight studies gathered in the book represent a wide range of theoretical positions and offer empirical evidence from learners belonging to different age groups, and with varying levels of proficiency in the target language, as well as in other non-native languages belonging to the learner’s repertoire. Diverse linguistic phenomena and language combinations are viewed from a perspective where all previously acquired languages have a potential role to play in the process of learning a new language. In the six empirical studies, contexts of language learning in school or at university level constitute the main outlet for data collection. These studies involve several language backgrounds and language combinations and focus on various linguistic features. The specific target languages in the empirical studies are English, French and Italian. The volume also includes two theoretical chapters. The first one conceptualizes and describes the different types of multilingual language learning investigated in the volume: i) third or additional language learning by learners who are bilinguals from an early age, and ii) third or additional language learning by people who have previous experience of one or more non-native languages learned after the critical period. In particular, issues related to the roles played by age and proficiency in multilingual acquisition are discussed. The other theoretical chapter conceptualizes the grammatical category of aspect, reviewing previous studies on second and third language acquisition of aspect. Different models for L3 learning and their relevance and implications for representations of aspect and for potential differences in the processing of second and third language acquisition are also examined in this chapter. As a whole, the book presents current research into third or additional language learning by young learners or adults, considering some of the most important factors for the complex process of multilingual language learning: the age of onset of the additional language and that of previously acquired languages, social and affective factors, instruction, language proficiency and literacy, the typology of the background languages and the role they play in shaping syntax, lexicon, and other components of a L3. The idea for this book emanates from the symposium Multilingualism, language proficiency and age, organized by Camilla Bardel and Laura Sánchez at Stockholm University, Department of Language Education, in December 2016.
The Wug Test is a picture book for children and adults that uses invented nouns, verbs, and adjectives to illuminate what children know about their own language. This book includes the original delightful Wug Test drawings and test questions created by Professor Jean Berko Gleason in 1958. The Wug Test, first given in research settings, showed that children do not learn language simply by memorizing what they hear. Instead, they learn the rules of their language so that they are able to make plurals, past tenses and other forms when presented with words they have never heard before. This book has pictures and interesting questions to share with children, along with informative notes and commentary for adults. It provides a fascinating insight into what even very young children know about language, as well as a way to understand and observe a child's acquisition of the rules of language over time. Ages 3-7.
The progression from newborn to sophisticated language user in just a few short years is often described as wonderful and miraculous. What are the biological, cognitive, and social underpinnings of this miracle? What major language development milestones occur in infancy? What methodologies do researchers employ in studying this progression? Why do some become adept at multiple languages while others face a lifelong struggle with just one? What accounts for declines in language proficiency, and how might such declines be moderated? Despite an abundance of textbooks, specialized monographs, and a couple of academic handbooks, there has been no encyclopedic reference work in this area--until now. The Encyclopedia of Language Development covers the breadth of theory and research on language development from birth through adulthood, as well as their practical application. Features: This affordable A-to-Z reference includes 200 articles that address such topic areas as theories and research tradition; biological perspectives; cognitive perspectives; family, peer, and social influences; bilingualism; special populations and disorders; and more. All articles (signed and authored by key figures in the field) conclude with cross reference links and suggestions for further reading. Appendices include a Resource Guide with annotated lists of classic books and articles, journals, associations, and web sites; a Glossary of specialized terms; and a Chronology offering an overview and history of the field. A thematic Reader’s Guide groups related articles by broad topic areas as one handy search feature on the e-Reference platform, which includes a comprehensive index of search terms. Available in both print and electronic formats, Encyclopedia of Language Development is a must-have reference for researchers and is ideal for library reference or circulating collections. Key Themes: Categories Effects of language on cognitive development Fundamentals, theories and models of language development Impairments of language development Language development in special populations Literacy and language development Mechanisms of language development Methods in language development research Prelinguistic communicative development Social effects in language acquisition Specific aspects of language development
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.
Provides comprehensive coverage of successful translation of language learning designs utilizing ICT in practical learning contexts. Offers the latest knowledge related to research on computer-enhanced language acquisition and learning.
