Mathematical models of systems of transcription of name-and-surname groups
| Autor: | I. I. Strikovskii, N. G. Rogova, V. K. Logacheva, E. S. Klyshinskii, V. I. Goremychkin, D. I. Zinov'ev, Olesya Vladimirovna Karpik, A. V. Bondarenko, N. Zh. Silaev, A. S. Gudkov, Vladimir Galaktionov, P. D. Ermakov, A. A. Gerasimenko, E. D. Tereshkov |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical model
Computer Networks and Communications Computer science business.industry Applied Mathematics 05 social sciences Mechatronics Intellectual property 050905 science studies computer.software_genre Automation Theoretical Computer Science Transcription (linguistics) Control and Systems Engineering Personal name Computer Vision and Pattern Recognition Artificial intelligence 0509 other social sciences 050904 information & library sciences business computer Software Natural language processing Information Systems |
| Zdroj: | Journal of Computer and Systems Sciences International. 55:570-578 |
| ISSN: | 1555-6530 1064-2307 |
| DOI: | 10.1134/s1064230716040031 |
| Popis: | In processing foreign personal names and surnames, the task of finding how to represent the way they sound in Russian often arises. This is important, for example, for intellectual property and other property paperwork, for translations, and for creating news stories. Information is often not available about the language of representation of the personal name. Therefore, the problem of automated identification of the language by the structure of the name-and-surname group is actual. Another problem is the automation of rule creation processes for the transcription of personal names. This paper proposes an algorithmic approach to solve these problems using the methods of machine learning. |
| Databáze: | OpenAIRE |
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