Phonetic String Matching for Languages with Cyrillic Alphabet
Autor: | Viacheslav Paramonov, Alexey O. Shigarov, Evgeny A. Cherkashin, Gennady Ruzhnikov |
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Rok vydání: | 2018 |
Předmět: |
Morphology (linguistics)
business.industry Computer science Phonetic similarity 020206 networking & telecommunications 02 engineering and technology String searching algorithm Pronunciation computer.software_genre Phonetic representation 030507 speech-language pathology & audiology 03 medical and health sciences Philology ComputingMethodologies_DOCUMENTANDTEXTPROCESSING 0202 electrical engineering electronic engineering information engineering Slavic languages Artificial intelligence Alphabet 0305 other medical science business computer Natural language processing |
Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783319999807 |
Popis: | 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. |
Databáze: | OpenAIRE |
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