Thai to Isarn dialect Machine Translation using Rule-based and Example-based

被引：0

作者：

Unlee, Paweena ^{[1
]}

Seresangtakul, Pusadee ^{[1
]}

机构：

[1] Khon Kaen Univ, Dept Comp Sci, Nat Language & Speech Proc Lab, Khon Kaen 40002, Thailand

来源：

2016 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE) | 2016年

关键词：

Thai; Isarn dialect; Machine Translation; RBMT; EBMT;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presented a Thai to Isarn dialect machine translation, named ThaiIsarn -MT, using rule-based and example based. To develop the system, a Thai - Isarn dialect dictionary and linguistics rules database were constructed. The dictionary contained 8,050 Thai words. Moreover, an example bilingual corpus was constructed. Since Thai is non-segmented language, input sentence was segmented to sequence of word using longest matching algorithm. The Thai word was looked for the corresponding Isarn word from the dictionary. For word that may has several meanings, we used the rule based and example based to select the most suitable meaning. In order to evaluate the performance of the purposed system, 854 Thai sentences were translated by the system. The result shows that the translation accuracy is 82.44%.

引用

页码：314 / 318

页数：5

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