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

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.