Abstract
Language is the primary means of communication used by every individual. It is a tool to express greater ideas of ideas and emotions. It shapes thoughts and carries meanings. Indian Sign Language (ISL) used by the Deaf Community in India, does have linguistic constituents and structural properties. The area of computer science and linguistics, dealing with the relationship between computers and human language, is natural language processing. Through lexical analysis, syntax analysis, semantic analysis, processing discourses, pragmatic analysis, it processes the data. In determining the meaning of a sentence, it is critical to analyze the syntactic structure. In this paper, current computer sign language translators are considered and their pros and cons are identified and discussed. The general approaches followed by the systems are discussed. A new approach for construction of sign languages is proposed, thus resulting in increase in the accuracy of the system in translating the input phrases.
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Shah, K., Rathi, S., Shetty, R., Mistry, K. (2022). A Comprehensive Review on Text to Indian Sign Language Translation Systems. In: Zhang, YD., Senjyu, T., So-In, C., Joshi, A. (eds) Smart Trends in Computing and Communications. Lecture Notes in Networks and Systems, vol 286. Springer, Singapore. https://doi.org/10.1007/978-981-16-4016-2_47
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DOI: https://doi.org/10.1007/978-981-16-4016-2_47
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