Link Grammar Parser for Turkic languages and algorithms for estimation the relevance of documents

Batura Tatiana Victorovna, Tazhibayeva Saule Zhaksylykbayevna, Murzin Feodor Alexandrovich, Yerimbetova Aigerim Sembekovna, Sagnayeva Saule Kairolliyevna, Bakiyeva Aigerim Muratovna

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)

Abstract

The main problem considered in this paper is creating algorithms for estimation the relevance of documents to the search query on the basis of sentences structure analysis. To decide this problem, we use the relations between words constructed by the program system Link Grammar Parser, based on the so-called link grammar. There were suggested the natural system of links for Turkic languages, created prototypes of Link Grammar Parser for Kazakh and Turkish. In addition, we considered some generalization of the summarization algorithm of Niraj Kumar. Results of research are planned to use in different information retrieval systems.

Original languageEnglish
Title of host publicationApplication of Information and Communication Technologies, AICT 2016 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509018406
DOIs
Publication statusPublished - 25 Jul 2016
Event10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016 - Baku, Azerbaijan
Duration: 12 Oct 201614 Oct 2016

Conference

Conference10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016
CountryAzerbaijan
CityBaku
Period12.10.201614.10.2016

Keywords

  • Link Grammar Parser
  • Natural language processing
  • relevance
  • syntactic analysis
  • Turkic languages

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