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Journal of Information Science
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Word segmentation for the Myanmar language

Tun Thura Thet

Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore 637718

Jin-Cheon Na

Division of Information Studies, School of Communication and Information, Nanyang Technological University, Singapore 637718, tjcna{at}ntu.edu.sg

Wunna Ko Ko

Myanmar NLP Research Center, Hlaing, Yangon, Myanmar

This study reports the development of a Myanmar word segmentation method using Unicode standard encoding. Word segmentation is an essential step prior to natural language processing in the Myanmar language, because a Myanmar text is a string of characters without explicit word boundary delimiters. The proposed method has two phases: syllable segmentation and syllable merging. A rule-based heuristic approach was adopted for syllable segmentation, and a dictionary-based statistical approach for syllable merging. Evaluation of test results showed that the method is very effective for the Myanmar language.

Key Words: Myanmar language • word segmentation • natural language processing • syllable segmentation • syllable merging • collocation strength • mutual information

This version was published on October 1, 2008

Journal of Information Science, Vol. 34, No. 5, 688-704 (2008)
DOI: 10.1177/0165551507086258
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