Syllable-Based Thai-English Machine Transliteration
Chai Wutiwiwatchai, Ausdang Thangthai · 2010
This article describes the first trial on bidirectional Thai-English machine transliteration applied on the NEWS 2010 transliteration corpus. The system relies on segmenting sourcelanguage words into syllable-like units, finding unit's pronunciations, consulting a syllable transliteration table to form target-language word hypotheses, and ranking the hypotheses by using syllable n-gram. The approach yields 84.2 % and 70.4 % mean F-scores on Englishto-Thai and Thai-to-English transliteration. Discussion on existing problems and future solutions are addressed. 1