Abstract
The article considers sound prolongations as one of the most typical hesitation phenomena of spontaneous spoken speech in any language. The material for the analysis was 40 monologues-descriptions, partly taken from the corpus of Russian monologue speech “Balanced Annotated Text Library”, and partly recorded specifically for this study. The monologues were recorded from 4 groups of speakers: 10 Russians and 30 Chinese, of whom 10 described the comic strip in Russian and Chinese, and another 10 only in Chinese. The analysis showed that the appearance of prolongations correlates with the language factor: bilinguals use them more often than monolinguals. More prolongations were found in full-fledged words (not pragmatic markers), but most of them are function words and pronouns. In Russian speech, the percentage of prolongations is also high in pragmatic markers, especially in the word vot, which appears in spoken discourse most often as a hesitative boundary marker. Thus, it turned out that even language proficiency does not make the Russian colloquial speech of the Chinese as natural as one of the native speakers. Prolongations predominate in vowels and sonorants; they are frequent at the end of a word and in single-letter words. Often prolongations become a component of an extended hesitation chain that includes other hesitative units (physical hesitation pauses, breaks, repetitions, vocalizations, etc.). The data obtained can be useful in all aspects of applied linguistics: from linguodidactics and linguistic expertise to automatic speech processing systems and the creation of artificial intelligence.
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The research was conducted was partially supported by St. Petersburg State University, project #94033528 “Modeling of Russian Megalopolis Citizens’ Communicative Behavior in Social, Speech and Pragmatic Aspects Using Artificial Intelligence Methods”.
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Bogdanova-Beglarian, N., Zaides, K., Stoika, D., Sun, X. (2023). Prolongations as Hesitation Phenomena in Spoken Speech in First and Second Language. In: Karpov, A., Samudravijaya, K., Deepak, K.T., Hegde, R.M., Agrawal, S.S., Prasanna, S.R.M. (eds) Speech and Computer. SPECOM 2023. Lecture Notes in Computer Science(), vol 14338. Springer, Cham. https://doi.org/10.1007/978-3-031-48309-7_27
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