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.
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