A work that reveals the profound links between the evolution, acquisition, and processing of
language, and proposes a new integrative framework for the language sciences. Language …

This unique contribution to the ongoing discussion of language acquisition considers the
Argument from the Poverty of the Stimulus in language learning in the context of the wider …

This interdisciplinary new work explores one of the central theoretical problems in
linguistics: learnability. The authors, from different backgrounds—-linguistics, philosophy …

We describe a method for learning an incremental semantic grammar from data in which
utterances are paired with logical forms representing their meaning. Working in an …

This chapter reviews recent progress in distributional learning in grammatical inference as
applied to learning context-free and multiple context-free grammars. We discuss the basic …

Angluin showed that the class of regular languages could be learned from a Minimally
Adequate Teacher (mat) providing membership and equivalence queries. Clark and Eyraud …

Recent studies on grammatical inference have demonstrated the benefits of “distributional
learning” for learning context-free and context-sensitive languages. Distributional learning …

Abstract The Syntactic Concept Lattice is a residuated lattice based on the distributional
structure of a language; the natural representation based on this is a context sensitive …

The syntactic concept lattice is a residuated lattice associated with a given formal language;
it arises naturally as a generalization of the syntactic monoid in the analysis of the …

We present a polynomial update time algorithm for the inductive inference of a large class of
context-free languages using the paradigm of positive data and a membership oracle. We …