A Rule-Based Method for Text Shortening in Vietnamese Sign Language Translation

被引：6
|
作者：
Thi Bich Diep Nguyen [1 ]
Trung-Nghia Phung [2 ]
Tat-Thang Vu [3 ]
机构：
[1] Grad Univ Sci & Technol, Hanoi, Vietnam
[2] Thai Nguyen Univ Informat & Commun Technol, Thai Nguyen, Vietnam
[3] Inst Informat Technol, Hanoi, Vietnam
来源：
INFORMATION SYSTEMS DESIGN AND INTELLIGENT APPLICATIONS, INDIA 2017 | 2018年 / 672卷
关键词：
D O I：
10.1007/978-981-10-7512-4_65
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Sign languages are natural languages with their own set of gestures and grammars. The grammar of Vietnamese sign language has significantly different features compared with those of Vietnamese spoken/written language, including the shortening, the grammatical ordering, and the emphasis. Natural language processing research on Vietnamese sign language including study on spoken/written Vietnamese text shortening into the forms of Vietnamese sign language is completely new. Therefore, we proposed a rule-based method to shorten the spoken/written Vietnamese sentences by reducing prepositions, conjunctions, and auxiliary words and replacing synonyms. The experimental results confirmed the effectiveness of the proposed method.
引用
收藏
页码：655 / 662
页数：8
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