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
Over the last two decades statistical learning (SL) has evolved into a key explanatory mechanism und...
In recent years, statistical learning (SL) research has seen a growing interest in tracking individu...
The purpose of this study wns to test a model for predicting the performance of psychology students ...
Acquiring language is notoriously complex, yet for the majority of children this feat is accomplishe...
The statistical account of language acquisition asserts that language is learned through computation...
With a particular focus on the morphosyntactic features of second language, this book discusses the ...
Recent computational research on natural language corpora has revealed that relatively simple statis...
Humans’ high sensitivity to the structure in their environment is explained as statistical learning....
Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken a...
Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken a...
Mastery of language can be a struggle for some children. Amongst those that succeed in achieving thi...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
Acquisition and processing of written and spoken language is an impressive cognitive accomplishment ...
The use of statistics in second language acquisition (SLA) research has increased over the past 30-4...
Statistical learning-the process of extracting patterns from distributional properties of the input-...
Over the last two decades statistical learning (SL) has evolved into a key explanatory mechanism und...
In recent years, statistical learning (SL) research has seen a growing interest in tracking individu...
The purpose of this study wns to test a model for predicting the performance of psychology students ...
Acquiring language is notoriously complex, yet for the majority of children this feat is accomplishe...
The statistical account of language acquisition asserts that language is learned through computation...
With a particular focus on the morphosyntactic features of second language, this book discusses the ...
Recent computational research on natural language corpora has revealed that relatively simple statis...
Humans’ high sensitivity to the structure in their environment is explained as statistical learning....
Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken a...
Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken a...
Mastery of language can be a struggle for some children. Amongst those that succeed in achieving thi...
245 pagesUnderstanding the computations involved in language acquisition is a central topic in cogni...
Acquisition and processing of written and spoken language is an impressive cognitive accomplishment ...
The use of statistics in second language acquisition (SLA) research has increased over the past 30-4...
Statistical learning-the process of extracting patterns from distributional properties of the input-...
Over the last two decades statistical learning (SL) has evolved into a key explanatory mechanism und...
In recent years, statistical learning (SL) research has seen a growing interest in tracking individu...
The purpose of this study wns to test a model for predicting the performance of psychology students ...