Human language acquisition has been studied for centuries, but using
computational modeling for such studies is a relatively recent trend. However,
computational approaches to language learning have become increasingly
popular, mainly due to advances in developing machine learning techniques,
and the availability of vast collections of experimental data on child language
learning and child-adult interaction. Many of the existing computational
models attempt to study the complex task of learning a language under
cognitive plausibility criteria (such as memory and processing limitations that
humans face), and to explain the developmental stages observed in children.
By simulating the process of child language learning, computational models
can show us which linguistic representations are learnable from the input that
children have access to, and which mechanisms yield the same patterns of
behaviour that children exhibit during this process. In doing so, computational
modeling provides insight into the plausible mechanisms involved in human
language acquisition, and inspires the development of better language models
and techniques. This book provides an overview of the main research
questions in the field of human language acquisition. It reviews the most
commonly used computational frameworks, methodologies and resources for
modeling child language learning, and the evaluation techniques used for
assessing these computational models. The book is aimed at cognitive
scientists who want to become familiar with the available computational
methods for investigating problems related to human language acquisition, as
well as computational linguists who are interested in applying their skills to
the study of child language acquisition.
Different aspects of language learning are discussed in separate chapters,
including the acquisition of the individual words, the general regularities which
govern word and sentence form, and the associations between form and
meaning. For each of these aspects, the challenges of the task are
discussed and the relevant empirical findings on children are summarized.
Furthermore, the existing computational models that attempt to simulate the
task under study are reviewed, and a number of case studies are presented.
Table of Contents: Overview / Computational Models of Language Learning /
Learning Words / Putting Words Together / Form--Meaning Associations /