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Regular version of the site

Book chapter

Визуализация данных для каталога русских лексических конструкций (на материале НКРЯ)

С. 465-477.
Митрофанова О. А., Паничева П.

Our research aims at automatic identification of constructions associated with particular lexical items and its subsequent use in building the catalogue of Russian lexical constructions. The study is based on the data extracted from the Russian National Corpus (RNC, http://ruscorpora.ru). The main accent is made on extensive use of morphological and lexico-semantic data drawn from the multi-level corpus annotation. Lexical constructions are regarded as the most frequent combinations of a target word and corpus tags which regularly occur within a certain left and/or right context and mark a given meaning of a target word. We focus on nominal constructions with target lexemes that refer to speech acts, emotions, and instruments. The toolkit that processes corpus samples and learns up the constructions is described. We provide analysis for the structure and content of extracted constructions (e.g. r:ord der:num t:ord r:qual|pervyj ‘first’ + LJUBOV’ ‘love’; LJUBOV’ ‘love’ + PR|s ‘from’ + ANUM m sg gen|pervyj ‘first’  + S f inan sg gen|vzgljad ‘sight’ = love at first sight). As regards their structure, constructions may be considered as n-grams (n is 2 to 5). The representation of constructions is bipartite as they may combine either morphological and lemma tags or lexical-semantic and lemma tags. We discuss the use of visualization module PATTERN.GRAPH that represents the inner structure of extracted constructions.