© 2013

Cognitive Aspects of Computational Language Acquisition

  • Aline Villavicencio
  • Thierry Poibeau
  • Anna Korhonen
  • Afra Alishahi

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Thierry Poibeau, Aline Villavicencio, Anna Korhonen, Afra Alishahi
    Pages 1-25
  3. Methods and Tools for Investigating Phonetics and Phonology

    1. Front Matter
      Pages 27-27
    2. Yvan Rose, Gregory J. Hedlund, Rod Byrne, Todd Wareham, Brian MacWhinney
      Pages 29-49
    3. Animesh Mukherjee, Monojit Choudhury, Niloy Ganguly, Anupam Basu
      Pages 51-78
  4. Classifying Words and Mapping Them to Meanings

    1. Front Matter
      Pages 79-79
    2. Fatemeh Torabi Asr, Afsaneh Fazly, Zohreh Azimifar
      Pages 81-103
    3. Alessio Plebe, Vivian M. De la Cruz, Marco Mazzone
      Pages 105-129
  5. Learning Morphology and Syntax

    1. Front Matter
      Pages 131-131
    2. Sandiway Fong, Igor Malioutov, Beracah Yankama, Robert C. Berwick
      Pages 133-172
    3. Christophe Parisse
      Pages 173-195
  6. Linking Syntax to Semantics

    1. Front Matter
      Pages 197-197
    2. Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson
      Pages 235-256
    3. Michael Connor, Cynthia Fisher, Dan Roth
      Pages 257-296
    4. Afra Alishahi, Suzanne Stevenson
      Pages 297-316
  7. Back Matter
    Pages 317-320

About this book


Questions related to language acquisition have been of interest for many centuries, as children seem to acquire a sophisticated capacity for processing language with apparent ease, in the face of ambiguity, noise and uncertainty. However, with recent advances in technology and cognitive-related research it is now possible to conduct large-scale computational investigations of these issues.

The book discusses some of the latest theoretical and practical developments in the areas involved, including computational models for language tasks, tools and resources that help to approximate the linguistic environment available to children during acquisition, and discussions of challenging aspects of language that children have to master.

This is a much-needed collection that provides a cross-section of recent multidisciplinary research on the computational modeling of language acquisition. It is targeted at anyone interested in the relevance of computational techniques for understanding language acquisition. Readers of this book will be introduced to some of the latest approaches to these tasks including:

* Models of acquisition of various types of linguistic information (from words to syntax and semantics) and their relevance to research on human language acquisition

* Analysis of linguistic and contextual factors that influence acquisition

* Resources and tools for investigating these tasks

Each chapter is presented in a self-contained manner, providing a detailed description of the relevant aspects related to research on language acquisition, and includes illustrations and tables to complement these in-depth discussions. Though there are no formal prerequisites, some familiarity with the basic concepts of human and computational language acquisition is beneficial.


68T50, 68T01, 68T05, 68T37, 68T30 Artificial Intelligence Cognitive Science Computational Language Acquisition Natural Language Processing Psycholinguistics

Editors and affiliations

  • Aline Villavicencio
    • 1
  • Thierry Poibeau
    • 2
  • Anna Korhonen
    • 3
  • Afra Alishahi
    • 4
  1. 1.Institute of InformaticsFederal University of Rio Grande do SulPorto AlegreBrazil
  2. 2.Universite Sorbonne Nouvelle, LATTICE-CNRSEcole Normale Superieure andParisFrance
  3. 3.Computer Laboratory, William Gates BuildingUniversity of CambridgeCambridgeUnited Kingdom
  4. 4.and Communication (TiCC), Tilburg UniversityTilburg center for CognitionTilburgNetherlands

Bibliographic information

  • Book Title Cognitive Aspects of Computational Language Acquisition
  • Editors Aline Villavicencio
    Thierry Poibeau
    Anna Korhonen
    Afra Alishahi
  • Series Title Theory and Applications of Natural Language Processing
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-642-31862-7
  • Softcover ISBN 978-3-642-42795-4
  • eBook ISBN 978-3-642-31863-4
  • Series ISSN 2192-032X
  • Series E-ISSN 2192-0338
  • Edition Number 1
  • Number of Pages XIV, 320
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Artificial Intelligence
    Natural Language Processing (NLP)
  • Buy this book on publisher's site