Exploring the Role of Statistical Learning in Language Acquisition PDF Download

Author: Reut Vardi
Publisher:
ISBN:
Category : Language acquisition
Languages : en
Pages : 80

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Author: Patrick Rebuschat
Publisher:
ISBN: 9781934078969
Category : Psychology
Languages : en
Pages : 511

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Book Description
Statistical Learning and Language Acquisition

Author: Jessica Horst
Publisher: Routledge
ISBN: 1351616617
Category : Psychology
Languages : en
Pages : 763

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Book Description
How do children acquire language? How does real life language acquisition differ from results found in controlled environments? And how is modern life challenging established theories? Going far beyond laboratory experiments, the International Handbook of Language Acquisition examines a wide range of topics surrounding language development to shed light on how children acquire language in the real world. The foremost experts in the field cover a variety of issues, from the underlying cognitive processes and role of language input to development of key language dimensions as well as both typical and atypical language development. Horst and Torkildsen balance a theoretical foundation with data acquired from applied settings to offer a truly comprehensive reference book with an international outlook. The International Handbook of Language Acquisition is essential reading for graduate students and researchers in language acquisition across developmental psychology, developmental neuropsychology, linguistics, early childhood education, and communication disorders.

Author: Patrick Rebuschat
Publisher: Walter de Gruyter
ISBN: 1934078247
Category : Psychology
Languages : en
Pages : 524

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Book Description
Open publication This volume brings together contributors from cognitive psychology, theoretical and applied linguistics, as well as computer science, in order to assess the progress made in statistical learning research and to determine future directions. An important objective is to critically examine the role of statistical learning in language acquisition. While most contributors agree that statistical learning plays a central role in language acquisition, they have differing views. This book will promote the development of the field by fostering discussion and collaborations across disciplinary boundaries.

Author: Jeffrey Lidz
Publisher: Oxford University Press
ISBN: 0199601267
Category : Computers
Languages : en
Pages : 1041

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Book Description
In this handbook, renowned scholars from a range of backgrounds provide a state of the art review of key developmental findings in language acquisition. The book places language acquisition phenomena in a richly linguistic and comparative context, highlighting the link between linguistic theory, language development, and theories of learning. The book is divided into six parts. Parts I and II examine the acquisition of phonology and morphology respectively, with chapters covering topics such as phonotactics and syllable structure, prosodic phenomena, compound word formation, and processing continuous speech. Part III moves on to the acquisition of syntax, including argument structure, questions, mood alternations, and possessives. In Part IV, chapters consider semantic aspects of language acquisition, including the expression of genericity, quantification, and scalar implicature. Finally, Parts V and VI look at theories of learning and aspects of atypical language development respectively.

Author: Gareth James
Publisher: Springer Nature
ISBN: 3031387473
Category : Mathematics
Languages : en
Pages : 617

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Book Description
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

Author: Caroline F. Rowland
Publisher: John Benjamins Publishing Company
ISBN: 9027261008
Category : Language Arts & Disciplines
Languages : en
Pages : 342

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Book Description
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.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Word learning abilities are important for academic and social development. As such, it is necessary to understand the mechanistic underpinnings of word learning in children with typical and atypical development. This study examined word learning mechanisms in children with typical development, autism spectrum disorder (ASD), and specific language impairment (SLI) who were matched on chronological age and nonverbal cognition. Specifically, abilities in statistical learning and fast mapping were examined. This study was the first to examine whether the output of statistical learning enhanced word learning abilities in school age children with typical and atypical language development. It was found that children with SLI have deficits in statistical learning and fast mapping abilities, relative to children with ASD and typical development. In addition, exploratory analyses revealed that statistical learning and fast mapping abilities in children with ASD who have concomitant language impairments are relatively intact, but slightly depressed. Lastly, when examining the role of statistical learning in word learning, it was found that exposure to an artificial language that contains some of the words presented in a subsequent word learning task enhanced learning in children with SLI. However, the word learning appeared to have been facilitated by the exposure to the sounds in the artificial language instead of the statistical structure. Implications to theory are discussed.

Author: M. Gareth Gaskell
Publisher: Oxford University Press, USA
ISBN: 0198568975
Category : Language Arts & Disciplines
Languages : en
Pages : 880

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Book Description
The ability to communicate through spoken and written language is one of the defining characteristics of the human race, yet it remains a deeply mysterious process. The young science of psycholinguistics attempts to uncover the mechanisms and representations underlying human language. This interdisciplinary field has seen massive developments over the past decade, with a broad expansion of the research base, and the incorporation of new experimental techniques such as brain imaging and computational modelling. The result is that real progress is being made in the understanding of the key components of language in the mind. The Oxford Handbook of Psycholinguistics brings together the views of 75 leading researchers in psycholinguistics to provide a comprehensive and authoritative review of the current state of the art in psycholinguistics. With almost 50 chapters written by experts in the field, the range and depth of coverage is unequalled. The contributors are eminent in a wide range of fields, including psychology, linguistics, human memory, cognitive neuroscience, bilingualism, genetics, development and neuropsychology. Their contributions are organised into six themed sections, covering word recognition, the mental lexicon, comprehension and discourse, language production, language development, and perspectives on psycholinguistics. The breadth of coverage, coupled with the accessibility of the short chapter format should make the handbook essential reading for both students and researchers in the fields of psychology, linguistics and neuroscience.

Author: Erin Suzan Isbilen
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
Understanding the computations involved in language acquisition is a central topic in cognitive science. This dissertation presents four empirical papers that investigate the role of domain general cognitive processes in the learning of linguistic structure. The first paper describes the contribution of chunking-a basic memory process-to the phenomenon known as statistical learning, which describes learners' ability to leverage the regularities present in the environment to form concrete representations of the input, such as finding the words in speech. The second paper extends these findings by showing how chunking can also account for the statistical learning and generalization of non-adjacent dependencies, a key feature of many linguistic systems. The third paper demonstrates that individual differences in statistically-based chunking of artificial language statistics significantly predicts sensitivity to comparable statistical structures in natural language. The final paper presents a meta-analysis of nearly 500 peer-reviewed studies on statistical learning in infants, children, and adults, tests its utility across different language properties, and proposes several methodological considerations that may benefit future experimentation. Together, these studies highlight the fundamental contribution of basic, domain general computations to language-and how they may even shape the evolution of linguistic structure over time.