ML techniques and text analysis

Abstract

In this paper text analysis is presented as a special subdiscipline of automated language learning, which in itself is a subdiscipline of machine learning. A formal classification scheme for analysis of language learning algorithms in terms of abstract learners and speaker/authors is introduced. The inductive inference approach of Gold and successors is rejected as being of little practical value. The perspectives of this newly emerging field are discussed in the light of a number of exemplifying research projects.