LANGUAGE IDENTIFICATION OF INFORMATION BLOCKS BASED ON LEXICO-GRAMMATIC MARKERS

DOI: https://doi.org/10.25559/SITITO.2017.4.492

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.

Author Biography

Сергей Николаевич Калегин, Moscow research institute of television (CJSC MNITI)

aspirant (applicant), chief of section

References

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Published
2017-12-03
How to Cite
КАЛЕГИН, Сергей Николаевич. LANGUAGE IDENTIFICATION OF INFORMATION BLOCKS BASED ON LEXICO-GRAMMATIC MARKERS. Modern Information Technologies and IT-Education, [S.l.], v. 13, n. 4, p. 225-231, dec. 2017. ISSN 2411-1473. Available at: <http://sitito.cs.msu.ru/index.php/SITITO/article/view/326>. Date accessed: 11 oct. 2025. doi: https://doi.org/10.25559/SITITO.2017.4.492.
Citation Formats
Issue
Vol 13 No 4 (2017): Modern Information Technology and IT-education
Section
Research and development in the field of new IT and their applications
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