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Artificial Intelligence Technology in Intelligent Health Informatics Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Phonetic String Matching for Languages with Cyrillic Alphabet

Authors : Viacheslav Paramonov, Alexey Shigarov, Gennady Ruzhnikov, Evgeny Cherkashin

Published in: Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018

Publisher: Springer International Publishing

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Abstract

The usage of phonetic similarity in comparison of textual strings and elimination of misprints is one of significant issues in philology. It is widely used in automatic text checking. Nowadays most of phonetic algorithms are designed for English language words processing. The quality of comparison may be decreased for non-English languages especially for languages, which have rich morphology and use non-Latin alphabet symbols, e.g. East Slavic languages with Cyrillic letters. We propose an approach to phonetic comparison of Russian language words. It is based on detection letters and letter sequences that have similar pronunciation according to rules of the language. The resultant phonetic representation of the words are coded by prime numbers. The efficiency of the reviewed algorithm is considered in the paper. The algorithm was adopted for Mongolian language phonetic processing.

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Metadata
Title
Phonetic String Matching for Languages with Cyrillic Alphabet
Authors
Viacheslav Paramonov
Alexey Shigarov
Gennady Ruzhnikov
Evgeny Cherkashin
Copyright Year
2019
Book
Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018

Print ISBN: 978-3-319-99980-7

Electronic ISBN: 978-3-319-99981-4

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-99981-4_28

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