Informatics and Applications
2017, Volume 11, Issue 3, pp 123-131
STATISTICAL DATA AS INFORMATION SOURCE FOR LINGUISTIC ANALYSIS OF RUSSIAN CONNECTORS
Abstract
The aim of this paper is to describe statistical data gathered from the supracorpora database (SCDB) of connectors for further analysis of their formal and functional properties. Until now, these properties have usually been described applying semantic analysis, while corpus data, if used at all, have not been subject to statistical processing. It is automatically generated and verifiable information, collected from texts corpora that can be one of the most reliable tools in the analysis of linguistic units, including connectors. The paper shows what statistics one may obtain from the SCDB and how to use it in the linguistic analysis in case of tol’ko, a polyfunctional linguistic unit that can be a part of multicomponent and two-place connectors.
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[+] About this article
Title
STATISTICAL DATA AS INFORMATION SOURCE FOR LINGUISTIC ANALYSIS OF RUSSIAN CONNECTORS
Journal
Informatics and Applications
2017, Volume 11, Issue 3, pp 123-131
Cover Date
2017-09-30
DOI
10.14357/19922264170314
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
annotation of connectors; corpus linguistics; supracorpora databases; parallel texts; statistical
Authors
O. Inkova  and N. Popkova
Author Affiliations
Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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