Vietnamese-Thai Machine Translation using Rule-based

被引：0
|
作者：
Tung Nguyen Ba Son [1 ]
Seresangtakul, Pusadee [1 ]
机构：
[1] Khon Kaen Univ, Dept Comp Sci, Khon Kaen 40002, Thailand
来源：
2017 9TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SMART TECHNOLOGY (KST) | 2017年
关键词：
Thai-Vietnamese; machine translation; rule-based;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a rule-based Vietnamese-Thai machine translation (VT MT) 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.
引用
收藏
页码：187 / 192
页数：6
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