LINGUISTIC ANALYZER: AUTOMATIC TRANSFORMATION OF NATURAL LANGUAGE TEXTS INTO INFORMATION DATA STRUCTURE

Abstract

The book offers a novel approach for analyzing natural language texts and representing relevant information in a metalinguistic database structure. Methodological principles underlying the processing techniques are the same at all stages. They draw on an empirically-based theory providing for the well-groundedness and consistency of the rules and preventing any possible subjectivity. The ultimate goal of the processing is a conceptual structure made up of elements referring to extralinguistic objects and situations. The elements are assigned ontological properties and linked together by conceptual relations. This makes it possible to extract “pure” information from the text, its reliability being dependent solely on the author.