Abstract
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.
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Acknowledgements
This study was supported by the Ministry of Education and Training of Vietnam (project B2016-TNA-27).
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Nguyen, T.B.D., Phung, TN., Vu, TT. (2018). A Rule-Based Method for Text Shortening in Vietnamese Sign Language Translation. In: Bhateja, V., Nguyen, B., Nguyen, N., Satapathy, S., Le, DN. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-10-7512-4_65
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DOI: https://doi.org/10.1007/978-981-10-7512-4_65
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