使用自然语言处理对印度手语的语音/文本

D. N, G. N
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引用次数: 0

摘要

手语是一种通过手势帮助人们交换信息的交流方式,听力困难的人通常使用手势。然而,手语并不是通用的,因为来自不同国家的残疾人使用他们相应的手语。使用手语,我们可以与残疾人交流,包括我们的亲人、主流/聋人学校/学院的学生、当地人和公司老板等。研究表明,学习手语可以让一个人更容易地掌握唇读和母语。大多数研究都是在手语翻译/识别方面进行的;不同的手语被翻译成共同的口语。然而,相反的情况较少,这意味着关于将口语转换为手语的研究有限。围绕这一问题,本研究旨在利用自然语言处理的基础将语音/文本翻译成印度手语。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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SPEECH/TEXT TO INDIAN SIGN LANGUAGE USING NATURAL LANGUAGE PROCESSING
Sign language is a way of communication that helps people exchange information by using hand and arm gestures, commonly used by individuals who have difficulty hearing. However, sign language isn’t universal, because impaired individuals from different countries use their corresponding sign languages. Using sign language, it allows us to communicate with impaired individuals including our loved ones, students in mainstream/deaf schools/colleges, locals and company owners, etc. Studies say learning sign language makes it simpler for a person to grasp lip-reading along with their native language. Most research has been done on Sign Language Translation/Recognition; different sign languages are translated into a common spoken language. However, the inverse is less, meaning limited research has been done on converting spoken languages to sign languages. Focusing on this matter, this study aims to translate speech/text into Indian Sign Language using the basics of Natural Language Processing.
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来源期刊
Indian Journal of Computer Science and Engineering
Indian Journal of Computer Science and Engineering Engineering-Engineering (miscellaneous)
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