Russian Predicatives and Frequency Metrics

Циммерлинг, А.В.

Автор: Циммерлинг А.В.
Журнал: Компьютерная лингвистика и интеллектуальные технологии (Computational Linguistics and Intellectual Technologies)
Том: 21
Год издания: 2023
Издательство: Редколлегия сборника «Компьютерная лингвистика и интеллектуальные технологии»
Местоположение издательства: Москва
Первая страница: 579
Последняя страница: 589
DOI: 10.28995/2075-7182-2023-22-579-589
Аннотация: This paper introduces five metrics for measuring the frequencies of dative predicatives in Russian.А dative predicative is a word or multiword expression licensing the dative-predicative-structure, where the semantic subject of the non-agreeing non-verbal predicate is marked by the dative case. I measure the frequencies of the predicatives in the contact position <-1;1> with the same-clause dative subject pronouns in 1Sg (m-metrics) and 3Sg (e-metrics). The m-metrics is applied for retrieving a list of dative predicatives from a corpus. I argue that for each large text collection there is a minimal m-value confirming that an item belongs to the core of the dative-predicative structure. The m/e score makes up the third metrics that shows whether an element is oriented towards the use in the 1st person or not. Basing on the m-metrics, I retrieved 3 lists of predicatives in the subcorpus of 2000–2021 texts included in the Russian National Corpus. The A list includes 87 items with m  10, the B list includes 44 items with m  50, the C list includes 24 items with m  100. 72-79% of items in each list have an m/e value 1,25. A linguistic interpretation of this result is that for each list of dative predicatives it is true that the majority of its elements are autoreferential expressions oriented towards the use in the 1st person present indicative tense in the direct speech. The fourth metrics shows the total number of occurrences of a word or multiword expression in the corpus (N). I argue that the N score must be measured before POS tagging, and lemmatization. The fifth and the last metrics is the m/N score. The RNC data suggest an inverse correlation between the score of an item in the context specific for dative-predicative structures (m) and its overall frequency in the corpus (N). This effect is explained by the regular homonymy of high frequent predicatives with high frequent adverbials and parenthetical expressions. SCOPUS eiD s2.0-85184334064
Добавил в систему: Циммерлинг Антон Владимирович

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