The book explores the interplay between language learning and evolution in the context of linguistic systems. Learning is the mechanism by which language is transferred from one generation of speakers to another. If linguistic knowledge is characterized in computational terms as a formal grammar and the mapping procedure is algorithmic, this conceptualization admits computational and mathematical modes of inquiry into language learning.

In this book Partha Niyogi introduces a framework for analyzing the precise nature of the relationship between learning by the individual and evolution of the population. We can observe the learning of language by children and marvel at the phenomenon of language acquisition; the evolution of a language, however, is not so directly experienced. In language evolution, one studies how linguistics evolved.

Intended mainly for students of Linguistics (Computational linguistics), the book will also prove useful as a reference for researchers in the field and those pursuing courses in AI/Theoretical Computer Science.