STATISTICAL CHARACTERISTICS OF SPEECH FORMULAS OF POLITE EXCUSE IN THE ENGLISH LANGUAGE
Bochkarev Arsentii Igorevich, Pepelyaeva Mariya Alekseevna, Skvortsova Elena Borisovna
Novosibirsk State Technical University
Abstract. The article examines an algorithm for analyzing speech formulas of polite excuses and identifying their statistical characteristics. Such an approach allows determining most exactly the meaning of lexical units, and the applied tools minimize the influence of the sub¬jective factor. The analysis singled out 11 basic speech formulas and revealed the use of auxiliary statement components.
Key words and phrases: пятишаговый алгоритм анализа, компонентный анализ, предобработка текстов, статистический анализ текстовой выборки, лемматизация, алгоритм поиска ассоциативных правил Apriori, five-step algorithm for analysis, component analysis, pre-processing of texts, statistical analysis of textual sampling, lemmatization, algorithm to find associative laws Apriori
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