Word classification for sign language synthesizer using hidden Markov model

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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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/
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
id iium-40305
recordtype eprints
spelling iium-403052017-08-24T07:30:44Z http://irep.iium.edu.my/40305/ Word classification for sign language synthesizer using hidden Markov model Maarif, Haris Al Qodri Akmeliawati, Rini Htike@Muhammad Yusof, Zaw Zaw Gunawan, Teddy Surya TK Electrical engineering. Electronics Nuclear engineering 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 provide understanding to users who use sign language synthesizer tools. In this paper, the Hidden Markov Model is proposed and implemented to process the words and locate their corresponding position correctly. The classification was done for Malay language and has resulted in an average accuracy of 74.67 %. IEEE 2014-11-25 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/40305/1/40305.pdf application/pdf en http://irep.iium.edu.my/40305/3/40305-Word%20classification%20for%20sign%20language%20synthesizer%20using%20hidden%20Markov%20model_SCOPUS.pdf Maarif, Haris Al Qodri and Akmeliawati, Rini and Htike@Muhammad Yusof, Zaw Zaw and Gunawan, Teddy Surya (2014) Word classification for sign language synthesizer using hidden Markov model. In: 5th International Conference on Information & Communication Technology for The Muslim World (ICT4M 2014), 17th--19th November 2014, Kuching, Sarawak. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7020617 10.1109/ICT4M.2014.7020617
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Maarif, Haris Al Qodri
Akmeliawati, Rini
Htike@Muhammad Yusof, Zaw Zaw
Gunawan, Teddy Surya
Word classification for sign language synthesizer using hidden Markov model
description 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 provide understanding to users who use sign language synthesizer tools. In this paper, the Hidden Markov Model is proposed and implemented to process the words and locate their corresponding position correctly. The classification was done for Malay language and has resulted in an average accuracy of 74.67 %.
format Conference or Workshop Item
author Maarif, Haris Al Qodri
Akmeliawati, Rini
Htike@Muhammad Yusof, Zaw Zaw
Gunawan, Teddy Surya
author_facet Maarif, Haris Al Qodri
Akmeliawati, Rini
Htike@Muhammad Yusof, Zaw Zaw
Gunawan, Teddy Surya
author_sort Maarif, Haris Al Qodri
title Word classification for sign language synthesizer using hidden Markov model
title_short Word classification for sign language synthesizer using hidden Markov model
title_full Word classification for sign language synthesizer using hidden Markov model
title_fullStr Word classification for sign language synthesizer using hidden Markov model
title_full_unstemmed Word classification for sign language synthesizer using hidden Markov model
title_sort word classification for sign language synthesizer using hidden markov model
publisher IEEE
publishDate 2014
url 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
first_indexed 2023-09-18T20:57:49Z
last_indexed 2023-09-18T20:57:49Z
_version_ 1777410422085779456

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