Word classification for sign language synthesizer using hidden Markov model
Sign Language Synthesizer is an algorithm developed to provide signing animation from verbal/spoken language. Word classification in Natural Language Processing (NLP) is required to determine grammatically processed sentences for sign language synthesizer. The correct word position of output can pr...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/40305/ http://irep.iium.edu.my/40305/ http://irep.iium.edu.my/40305/ http://irep.iium.edu.my/40305/1/40305.pdf http://irep.iium.edu.my/40305/3/40305-Word%20classification%20for%20sign%20language%20synthesizer%20using%20hidden%20Markov%20model_SCOPUS.pdf |