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RUSSIAN COLLOCATIONS DATABASE: LINGUISTIC OBSERVATIONS AND FIRST STEPS
Abstract
Quantitative methods applied to corpus data allow researchers to evaluate the represented results. Statistical association measures are used to evaluate the collocation strength and to produce lists of most plausible collocations. Such information about wordsВ’ collocability supplied with statistical data can be used in many areas of computational and applied linguistics. The paper deals with the description of an integrated Russian collocations database that will contain automatically extracted collocations evaluated against dictionaries and linguistic expertise. Despite the fact there are collocations dictionaries for Russian there is still a need in a comprehensive collocation description. The aim of the tool is to provide information about collocational preferences of frequent lexemes supplied with additional information and examples from general and specialized corpora and other resources. The present tool can be used in natural language processing for parse filtering, word sense disambiguation, in lexicography, machine translation and language learning.
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