Statistical Language Learning
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Statistical Language Learning
This text introduces statistical language processing techniques--word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic word classes, word-sense disambiguation--along with the underlying mathematics and chapter exercises.
Statistical Learning and Language Acquisition
Author: Patrick Rebuschat
language: en
Publisher: Walter de Gruyter
Release Date: 2012-10-01
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.
A Mind for Language
Author: Harry van der Hulst
language: en
Publisher: Cambridge University Press
Release Date: 2023-09-21
How does human language arise in the mind? To what extent is it innate, or something that is learned? How do these factors interact? The questions surrounding how we acquire language are some of the most fundamental about what it means to be human and have long been at the heart of linguistic theory. This book provides a comprehensive introduction to this fascinating debate, unravelling the arguments for the roles of nature and nurture in the knowledge that allows humans to learn and use language. An interdisciplinary approach is used throughout, allowing the debate to be examined from philosophical and cognitive perspectives. It is illustrated with real-life examples and the theory is explained in a clear, easy-to-read way, making it accessible for students, and other readers, without a background in linguistics. An accompanying website contains a glossary, questions for reflection, discussion themes and project suggestions, to further deepen students understanding of the material.