Comparison binary search and linear algorithm for German-Indonesian sign language using Markov model
Research in the area of sign language gives significant results in the decade of years. A lot of research has been done focusing on the signer-independent schemas that contain sign language and video. This paper contributes the statistical translation words from German-Indonesia sign language and vi...
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Online Access: | http://eprints.utm.my/id/eprint/59191/1/TonyAnwar2014_ComparisonBinarySearchandLinear.pdf http://eprints.utm.my/id/eprint/59191/ http://www.dx.doi.org/10.1109/EECCIS.2014.7003729 |
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my.utm.591912021-09-08T05:11:44Z http://eprints.utm.my/id/eprint/59191/ Comparison binary search and linear algorithm for German-Indonesian sign language using Markov model Mandita, F. Anwar, T. Abdullah, H. M. TK Electrical engineering. Electronics Nuclear engineering Research in the area of sign language gives significant results in the decade of years. A lot of research has been done focusing on the signer-independent schemas that contain sign language and video. This paper contributes the statistical translation words from German-Indonesia sign language and vice versa. The process of translation used Markov model and parsing tree to translate words. A binary search and linear algorithms in collaboration with Markov model are used to implement the translation process. The execution time between 2 models of algorithms has been analyzed. A binary search and Markov model have given a better execution than sequential algorithm and Markov model when translates words. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/59191/1/TonyAnwar2014_ComparisonBinarySearchandLinear.pdf Mandita, F. and Anwar, T. and Abdullah, H. M. (2015) Comparison binary search and linear algorithm for German-Indonesian sign language using Markov model. In: 2014 Electrical Power, Electronics, Communications, Control and Informatics Seminar, EECCIS 2014, 27-28 Aug 2014, Malang, Indonesia. http://www.dx.doi.org/10.1109/EECCIS.2014.7003729 |
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TK Electrical engineering. Electronics Nuclear engineering Mandita, F. Anwar, T. Abdullah, H. M. Comparison binary search and linear algorithm for German-Indonesian sign language using Markov model |
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Research in the area of sign language gives significant results in the decade of years. A lot of research has been done focusing on the signer-independent schemas that contain sign language and video. This paper contributes the statistical translation words from German-Indonesia sign language and vice versa. The process of translation used Markov model and parsing tree to translate words. A binary search and linear algorithms in collaboration with Markov model are used to implement the translation process. The execution time between 2 models of algorithms has been analyzed. A binary search and Markov model have given a better execution than sequential algorithm and Markov model when translates words. |
format |
Conference or Workshop Item |
author |
Mandita, F. Anwar, T. Abdullah, H. M. |
author_facet |
Mandita, F. Anwar, T. Abdullah, H. M. |
author_sort |
Mandita, F. |
title |
Comparison binary search and linear algorithm for German-Indonesian sign language using Markov model |
title_short |
Comparison binary search and linear algorithm for German-Indonesian sign language using Markov model |
title_full |
Comparison binary search and linear algorithm for German-Indonesian sign language using Markov model |
title_fullStr |
Comparison binary search and linear algorithm for German-Indonesian sign language using Markov model |
title_full_unstemmed |
Comparison binary search and linear algorithm for German-Indonesian sign language using Markov model |
title_sort |
comparison binary search and linear algorithm for german-indonesian sign language using markov model |
publishDate |
2015 |
url |
http://eprints.utm.my/id/eprint/59191/1/TonyAnwar2014_ComparisonBinarySearchandLinear.pdf http://eprints.utm.my/id/eprint/59191/ http://www.dx.doi.org/10.1109/EECCIS.2014.7003729 |
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1712285050854178816 |
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13.222552 |