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  1. Myanmar Institute of Information Technology
  1. Myanmar Institute of Information Technology
  2. Faculty of Computer Science

String Similarity Measures for Myanmar Language (Burmese)

http://hdl.handle.net/20.500.12678/0000007687
http://hdl.handle.net/20.500.12678/0000007687
1f7b2119-902c-4e30-8255-1906b68489f1
fa3ccd4e-b876-4c06-9e77-aedda03505a9
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String String Similarity Measures for Myanmar Language (Burmese).pdf (263 KB)
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Publication
Title
Title String Similarity Measures for Myanmar Language (Burmese)
Language en
Publication date 2019-09-17
Authors
Khaing Hsu Wai
Ye Kyaw Thu
Hnin Aye Thant
Swe Zin Moe
Thepchai Supnithi
Description
Measuring string similarity is useful for a broad range of applications. It plays an important role in machine learning, information retrieval, natural language processing, error encoding, and bioinformatics.
Measuring string similarity is a fundamental operation of data science, important for data cleaning and integration. Real-world applications such as spell checking, duplicate finding, searching similar words, and retrieving tasks use string similarity. In this study, string similarity metrics have been calculated for Burmese (Myanmar language). The encoding table for Burmese has been built based on the pronunciation similarity of characters and vowel combination positions with a consonant. According to the table, strings and words are encoded. Similarity distance is measured between the dataset and query words. Previous string similarity approaches are not suitable for fuzzy string matching of tonal-based Burmese. Therefore, three mapping approaches are proposed in this study.
Keywords
Myanmar character, Burmese, String similarity metrics, Phonetic similarity, Fuzzy string matching
Journal articles
https://www.aclweb.org/anthology/2019.nsurl-1.14.pdf
String Similarity Measures for Myanmar Language (Burmese)
Pages 94-102
https://www.aclweb.org/anthology/2019.nsurl-1.14
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