Research on Russian Cultural Transliteration Algorithm Based on Hidden Markov Model
Author:
Affiliation:
1. School of International Education, Heilongjiang University of Technology, China
Funder
Outstanding Young Teachers Basic Research Support Program' project for provincially-owned undergraduate universities in Heilongjiang Province
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3662739.3664742
Reference20 articles.
1. Prozorov D, Tatarinova A. Comparison of grapheme-to-phoneme conversions for spoken document retrieval. 2019 IEEE East-West Design & Test Symposium (EWDTS). IEEE, 2019: 1-4.
2. Suntornsawet J. Problematic Phonological Features of Foreign Accented English Pronunciation as Threats to International Intelligibility: Thai EIL Pronunciation Core. Journal of English as an International Language, 2019, 14(2): 72-93..
3. The Image of the Other in the (post-)Covid Period: Analysis of Russian-language Internet Queries
4. Russian-language neurosemantics: Clustering of word meaning and sense from oral narratives
5. Cognitive Nature of Information Search in the Context of Informativeness of Cognition
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