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This article is cited in 13 scientific papers (total in 13 papers)
Statistical data as information source for linguistic analysis of Russian connectors
O. Inkova, N. Popkova Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences,
44-2 Vavilov Str., Moscow 119333
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.
Keywords:
annotation of connectors; corpus linguistics; supracorpora databases; parallel texts; statistical data.
Received: 11.07.2017
Citation:
O. Inkova, N. Popkova, “Statistical data as information source for linguistic analysis of Russian connectors”, Inform. Primen., 11:3 (2017), 123–131
Linking options:
https://www.mathnet.ru/eng/ia493 https://www.mathnet.ru/eng/ia/v11/i3/p123
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