Cognitive Aspects of Computational Language Acquisition

✍ Scribed by Thierry Poibeau, Aline Villavicencio (auth.), Aline Villavicencio, Thierry Poibeau, Anna Korhonen, Afra Alishahi (eds.)

• Publisher: Springer-Verlag Berlin Heidelberg
• Year: 2013
• Tongue: English
• Leaves: 325
• Series: Theory and Applications of Natural Language Processing
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xiv
Computational Modeling as a Methodology for Studying Human Language Learning....Pages 1-25
Front Matter....Pages 27-27
Phon: A Computational Basis for Phonological Database Building and Model Testing....Pages 29-49
Language Dynamics in the Framework of Complex Networks: A Case Study on Self-Organization of the Consonant Inventories....Pages 51-78
Front Matter....Pages 79-79
From Cues to Categories: A Computational Study of Children’s Early Word Categorization....Pages 81-103
In Learning Nouns and Adjectives Remembering Matters: A Cortical Model....Pages 105-129
Front Matter....Pages 131-131
Treebank Parsing and Knowledge of Language....Pages 133-172
Rethinking the Syntactic Burst in Young Children....Pages 173-195
Front Matter....Pages 197-197
Learning to Interpret Novel Noun-Noun Compounds: Evidence from Category Learning Experiments....Pages 199-234
Child Acquisition of Multiword Verbs: A Computational Investigation....Pages 235-256
Starting from Scratch in Semantic Role Labeling: Early Indirect Supervision....Pages 257-296
Gradual Acquisition of Verb Selectional Preferences in a Bayesian Model....Pages 297-316
Back Matter....Pages 317-320

✦ Subjects

Artificial Intelligence (incl. Robotics); Language Translation and Linguistics; Psycholinguistics