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Pharmacophore Modeling and Docking Studies of SNCA Receptor with Some Active Phytocompounds from Selected Ayurvedic Medicinal Plants Known for their CNS Activity Read chapter Read first chapter

2018 | OriginalPaper | Chapter

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

Authors : Thi Bich Diep Nguyen, Trung-Nghia Phung, Tat-Thang Vu

Published in: Information Systems Design and Intelligent Applications

Publisher: Springer Singapore

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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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Metadata
Title
A Rule-Based Method for Text Shortening in Vietnamese Sign Language Translation
Authors
Thi Bich Diep Nguyen
Trung-Nghia Phung
Tat-Thang Vu
Copyright Year
2018
Publisher
Springer Singapore
Book
Information Systems Design and Intelligent Applications

Print ISBN: 978-981-10-7511-7

Electronic ISBN: 978-981-10-7512-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7512-4_65

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