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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...

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Bibliographic Details
Main Authors: Maarif, Haris Al Qodri, Akmeliawati, Rini, Htike@Muhammad Yusof, Zaw Zaw, Gunawan, Teddy Surya
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2014
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access: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
http://irep.iium.edu.my/40305/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7020617
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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
http://irep.iium.edu.my/40305/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7020617

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