The identification of crime-related information in the Kazakh-language text corpora

Abstract

The Kazakh language, part of the Kipchak branch of the Turkic group within the Altai language family, is spoken by approximately 12 million people worldwide, predominantly in Kazakhstan. Kazakh possesses distinct characteristics that facilitate its formalization and automatic processing. This chapter explores the unique features of Kazakh, particularly its strict word order, which follows a subject-object-predicate structure. As an agglutinative language, Kazakh words typically consist of a stem followed by multiple morphemes, each carrying specific meanings. A comprehensive analysis of Kazakh verb formation contributes to understanding its grammatical structure and enhances the potential for the automatic processing of Kazakh language texts. This chapter discusses the adaptation of the developed model for fact extraction from semi-structured texts to the Kazakh language, introducing a clearly defined irreducible set of ten grammatical and semantic features that affect the semantic roles of the participants in a Kazakh sentence. Most of these features are morphological or semantic characteristics expressed through affixes. Additionally, this chapter provides examples of the implementation of the logical-linguistic model of fact extraction for Kazakh sentences.

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