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Advances in Knowledge Discovery and Data Mining

Volume 5476 of the series Lecture Notes in Computer Science pp 580-587

Romanization of Thai Proper Names Based on Popularity of Usages

  • Akegapon TangverapongAffiliated withCarnegie Mellon UniversitySpoken Language Systems Research Group, Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University
  • , Atiwong SuchatoAffiliated withCarnegie Mellon UniversitySpoken Language Systems Research Group, Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University
  • , Proadpran PunyabukkanaAffiliated withCarnegie Mellon UniversitySpoken Language Systems Research Group, Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University

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Abstract

The lack of standards for Romanization of Thai proper names makes searching activity a challenging task. This is particularly important when searching for people-related documents based on orthographic representation of their names using either solely Thai or English alphabets. Romanization based directly on the names’ pronunciations often fails to deliver exact English spellings due to the non-1-to-1 mapping from Thai to English spelling and personal preferences. This paper proposes a Romanization approach where popularity of usages is taken into consideration. Thai names are parsed into sequences of grams, units of syllable-sized or larger governed by pronunciation and spelling constraints in both Thai and English writing systems. A Gram lexicon is constructed from a corpus of more than 130,000 names. Statistical models are trained accordingly based on the Gram lexicon. The proposed method significantly outperformed the current Romanization approach. Approximately 46% to 75% of the correct English spellings are covered when the number of proposed hypotheses increases from 1 to 15.

Keywords

Thai Romanization Statistical Language Processing Machine Translation