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 конференцийстатья в сборнике материалов конференциинаучнаярецензирование

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 оригиналаанглийский
Название основной публикацииApplication of Information and Communication Technologies, AICT 2016 - Conference Proceedings
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781509018406
DOI
СостояниеОпубликовано - 25 июл 2016
Событие10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016 - Baku, Азербайджан
Продолжительность: 12 окт 201614 окт 2016

Конференция

Конференция10th IEEE International Conference on Application of Information and Communication Technologies, AICT 2016
СтранаАзербайджан
ГородBaku
Период12.10.201614.10.2016

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