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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

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. in 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, Azerbaijan, 12.10.2016. https://doi.org/10.1109/ICAICT.2016.7991663

APA

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. In 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

Vancouver

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. In Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7991663 doi: 10.1109/ICAICT.2016.7991663

Author

Victorovna, Batura Tatiana ; Zhaksylykbayevna, Tazhibayeva Saule ; Alexandrovich, Murzin Feodor et al. / Link Grammar Parser for Turkic languages and algorithms for estimation the relevance of documents. Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016.

BibTeX

@inproceedings{ae92c748237b41349fd7e3c9386cef25,
title = "Link Grammar Parser for Turkic languages and algorithms for estimation the relevance of documents",
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}",
year = "2016",
month = jul,
day = "25",
doi = "10.1109/ICAICT.2016.7991663",
language = "English",
booktitle = "Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016 ; Conference date: 12-10-2016 Through 14-10-2016",

}

RIS

TY - GEN

T1 - Link Grammar Parser for Turkic languages and algorithms for estimation the relevance of documents

AU - Victorovna, Batura Tatiana

AU - Zhaksylykbayevna, Tazhibayeva Saule

AU - Alexandrovich, Murzin Feodor

AU - Sembekovna, Yerimbetova Aigerim

AU - Kairolliyevna, Sagnayeva Saule

AU - Muratovna, Bakiyeva Aigerim

PY - 2016/7/25

Y1 - 2016/7/25

N2 - 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.

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.

KW - Link Grammar Parser

KW - Natural language processing

KW - relevance

KW - syntactic analysis

KW - Turkic languages

UR - http://www.scopus.com/inward/record.url?scp=85034274091&partnerID=8YFLogxK

U2 - 10.1109/ICAICT.2016.7991663

DO - 10.1109/ICAICT.2016.7991663

M3 - Conference contribution

AN - SCOPUS:85034274091

BT - Application of Information and Communication Technologies, AICT 2016 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016

Y2 - 12 October 2016 through 14 October 2016

ER -

ID: 9979490