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

doi:10.1109/ICAICT.2016.7991663

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

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

1 Цитирования (Scopus)

Аннотация

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.

Язык оригинала	английский
Название основной публикации	Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings
Издатель	Institute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)	9781509018406
DOI	https://doi.org/10.1109/ICAICT.2016.7991663
Состояние	Опубликовано - 25 июл. 2016
Событие	10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016 - Baku, Азербайджан Продолжительность: 12 окт. 2016 → 14 окт. 2016

Конференция

Конференция	10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016
Страна/Tерритория	Азербайджан
Город	Baku
Период	12.10.2016 → 14.10.2016

Доступ к документу

10.1109/ICAICT.2016.7991663

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Цитировать

Victorovna, B. T., Zhaksylykbayevna, T. S., Alexandrovich, M. F., Sembekovna, Y. A., Kairolliyevna, S. S., & Muratovna, B. A. (2016). Link Grammar Parser for Turkic languages and algorithms for estimation the relevance of documents. В Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings [7991663] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAICT.2016.7991663

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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.",

keywords = "Link Grammar Parser, Natural language processing, relevance, syntactic analysis, Turkic languages",

author = "Victorovna, {Batura Tatiana} and Zhaksylykbayevna, {Tazhibayeva Saule} and Alexandrovich, {Murzin Feodor} and Sembekovna, {Yerimbetova Aigerim} and Kairolliyevna, {Sagnayeva Saule} and Muratovna, {Bakiyeva Aigerim}",

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Victorovna, BT, Zhaksylykbayevna, TS, Alexandrovich, MF, Sembekovna, YA, Kairolliyevna, SS & Muratovna, BA 2016, Link Grammar Parser for Turkic languages and algorithms for estimation the relevance of documents. в Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings., 7991663, Institute of Electrical and Electronics Engineers Inc., 10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016, Baku, Азербайджан, 12.10.2016. https://doi.org/10.1109/ICAICT.2016.7991663

Link Grammar Parser for Turkic languages and algorithms for estimation the relevance of documents. / Victorovna, Batura Tatiana; Zhaksylykbayevna, Tazhibayeva Saule; Alexandrovich, Murzin Feodor и др.

Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7991663.

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

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AB - 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.

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Victorovna BT, Zhaksylykbayevna TS, Alexandrovich MF, Sembekovna YA, Kairolliyevna SS, Muratovna BA. Link Grammar Parser for Turkic languages and algorithms for estimation the relevance of documents. В Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7991663 https://doi.org/10.1109/ICAICT.2016.7991663