This paper formalises the idea of substitutability introduced by Zellig Harris in the 1950s and
makes it the basis for a learning algorithm from positive data only for a subclass of context …

Child language acquisition, one of Nature's most fascinating phenomena, is to a large extent
still a puzzle. Experimental evidence seems to support the view that early language is highly …

I review a number of grammar induction algorithms (ABL, Emile, Adios), and test them on the
Eindhoven corpus, resulting in disappointing results, compared to the usually tested corpora …

We investigate the application of grammar inference to the analysis of facial expressions to
discover underlying sequential regularities characteristic for a specific mental state. The …

Many problems exist whose solutions take the form of patterns that may be expressed using
grammars (eg, speech recognition, text processing, genetic sequencing). Construction of …

In this chapter, application of grammatical inference to facilitate development of domain-
specific languages (DSLs) is presented. Grammatical inference techniques have been …

While grammar inference (or grammar induction) has found extensive application in the
areas of robotics, computational biology, and speech recognition, its application to problems …

We present an application of grammar inference in the domain of facial expression analysis.
Typically, only sets of AUs which occur in a given time frame are used for expression …

The goal of the Alignment-Based Learning (ABL) grammatical inference framework is to
structure plain (natural language) sentences as if they are parsed according to a context-free …

This paper formalises the idea of substitutability introduced by Zellig Harris in the 1950s and
makes it the basis for a learning algorithm from positive data only for a subclass of context …