Abstract
In the paper, we argue that it is necessary to collect and analyze casual speech of the speakers from different age groups, both native speakers and those who study a language as a second one, in order to understand the mechanisms of spoken word production and recognition and to improve current automatic systems of natural language processing. We provide a short overview of the corpora of adult, children and adolescent Russian speech we develop and then focus on the methodology and results of a study of phonetic reduction in the speech of 16 Chinese students learning Russian as a foreign language. We found out similar tendencies of phonetic reduction in the speech of the Chinese students and in the speech of native speakers of Russian. At the same time, the speech of Chinese students, unlike the speech of Russian-speaking children aged four to six years, is characterized by a large number of examples with sound changes. The second language learners of Russian usually have different realizations of one and the same word in their speech. The results we obtained can be used for spoken word recognition modeling, as well as for various educational purposes including teaching Russian as a foreign language.
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Acknowledgements
The study is supported by the grant No MK-6776.2018.6 from the President of the Russian Federation. I would like to thank my student Iuliia Telova who helped me to gather and annotate the data.
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Riekhakaynen, E.I. (2021). Comparing Phonetic Reduction in Russian as First and Second Language: From Psycholinguistics to Natural Language Processing. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Fifth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 1184. Springer, Singapore. https://doi.org/10.1007/978-981-15-5859-7_47
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