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

Myanmar (Burmese) String Similarity Measures based on Phoneme Similarity

http://hdl.handle.net/20.500.12678/0000007690
http://hdl.handle.net/20.500.12678/0000007690
5dcc34ec-fe54-4b17-9809-6dedef63de4e
af860008-6a6d-4adb-98de-5f40d4a1a73c
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Myanmar Myanmar (Burmese) String Similarity Measures based on Phoneme Similarity.pdf (1.2 MB)
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Publication type
Journal article
Upload type
Publication
Title
Title Myanmar (Burmese) String Similarity Measures based on Phoneme Similarity
Language en
Publication date 2020-04-07
Authors
Khaing Hsu Wai
Ye Kyaw Thu
Swe Zin Moe
Hnin Aye Thant
Thepchai Supnithi
Description
String similarity measurement is useful for a wide range of applications. It performs an important role in machine learning, information retrieval, natural language processing, error encoding,
and bioinformatics. Measuring string similarity is also a basic and fundamental operation of data science, important for data cleaning and integration. Applications such as spell checking, duplicate finding, searching similar words, and retrieving tasks use string similarity. Moreover, Grapheme-to-Phoneme (G2P) conversion is the necessary task of predicting the pronunciation of a word given its graphemic or written form. In this study, string similarity metrics have been calculated for Burmese (Myanmar language) based on phoneme similarity and phonetic similarity. Similarity distance is measured between the datasets and query words, both of which are converted with G2P model and with the phonetic encoding mapping tables. As previous string similarity approaches are not suitable for fuzzy string
matching of tonal-based Burmese, measuring string similarity based on phoneme similarity and phonetic mapping approaches are proposed in this study.
Keywords
Myanmar character, Burmese, String similarity metrics, Phonetic Similarity, Grapheme-to-Phoneme (G2P), Ripple Down Rules-Based (RDR)
Journal articles
Issue 1
Myanmar (Burmese) String Similarity Measures based on Phoneme Similarity
Pages 27-34
Volume 4
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