LANGUAGE IDENTIFICATION OF INFORMATION BLOCKS BASED ON LEXICO-GRAMMATIC MARKERS
Journal Title: Современные информационные технологии и ИТ-образование - Year 2017, Vol 13, Issue 4
Abstract
This article is a continuation of the author's series of publications on the subjects of language identification of texts. In the article is being considered the creation of a technological basis for language identification systems of unstructured information blocks based on lexico-grammatical markers, in which are used the forms of verbs, verbal formations or functionally analogous constructions, are described method and algorithm for its software implementation. These developments will significantly reduce the resource intensity and improve the quality of such systems, which will give a significant economic effect and the possibility of creating fundamentally new technologies for determining the linguistic affiliation of information in a multilingual environment. Consequently, the study is of interest for computer linguists and developers of automatic word processing systems, such as: global monitoring systems, multilingual knowledge bases, automatic translation systems, information retrieval systems, document summarizing systems, literature catalogers, etc.
Authors and Affiliations
Sergey Kalegin
Keywords
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- EP ID EP266381
- DOI 10.25559/SITITO.2017.4.492
- Views 93
- Downloads 0
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