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Journal Publication
Research Title Vietnamese-Thai Machine Translation using Rule-based 
Date of Distribution 2 February 2017 
Conference
     Title of the Conference The 2017-29th International Conference on Knowledge and Smart Technology (KST) 
     Organiser Falculty of Informatics, Burapha University 
     Conference Place Amari Pattaya 
     Province/State Chon Buri 
     Conference Date 1 February 2017 
     To 4 February 2017 
Proceeding Paper
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     Abstract This paper presents a rule-based Vietnamese-Thai machine translation (VTMT) system. Vietnamese text is input and segmented to a set of sentences through the use of punctuation marks. The output sentence is segmented into a sequence of words using a longest syllable matching algorithm together with named entity recognition (NER) rules. Segmented words will seek corresponding Thai words from the Vietnamese-Thai lexicon. Vietnamese to Thai transcription rules will be used to transcribe unknown words and recognized name entity words. The system will analyze the source sentence structure in order to generate the output Thai sentences. The translation accuracy obtained from the proposed system was 77.15%; which is better than the results achieved through the popular website Google Translate. 
Author
565020159-7 Mr. TUNG NGUYEN BA SON [Main Author]
Science Master's Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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