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

Tatiana Viktorovna Batura, Saule Zhaksylykbaevna Tazhibayeva, Murzin Feodor Alexandrovich, Aigerim Yerimbetova, S.K. Sagnayeva, Aigerim Bakiyeva

2016

Closed access Metadata (CSL-JSON)

DOI 10.1109/icaict.2016.7991663

Data confidence 70 medium

How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

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.