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Collocation extraction is a prominent task in natural language processing, its results are important in various areas of applied linguistics. The research focuses on a comparison between seven statistical measures based on the large Russian ruTenTen corpus. The paper examines the bigrams with a number of Russian high-frequency nouns that were extracted by the given measures. The analysis is organized in two ways. First, we ranked the lists of bigrams obtained by each measure and evaluated the results against the R...

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 evalu...