К созданию частотного словаря значений слов
Analyzing several Russian nouns denoting everyday life objects, we explain why a word sense frequency dictionary is necessary. Techniques of calculating the approximate frequencies are proposed, based on the analysis of native speaker surveys and the annotation of the most frequent collocations in a large text corpus (we used the huge RuTenTen11 corpus integrated into the Sketch Engine system). A word sense dictionary could be used in a variety of NLP tasks, in particular for a probabilistic word sense disambiguation without available context, in creating second language learning resources, as well as in academic lexicography. Besides, studies of sense sets of polysemous words and their comparative frequencies are important for the linguistic theory, because they shed light on the evolution of the lexical system.