Grapheme to Phoneme Conversion for Standard Malay

This paper presents the use of Joint Source-Channel model (JSC) to carry out grapheme-to-phonetic (G2P) transcription process on Standard Malay (SM) [1]. Previous work on using the JSC for English to Chinese name transliteration indicates good results. Hence it is assumed that similar result can be...

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Main Authors: Teoh, Boon Seong, Tan, Yeow Kee, Li, Haizhou
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Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research_smu/25
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1024&context=lkcsb_research_smu
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spelling sg-smu-ink.lkcsb_research_smu-10242018-07-10T06:07:10Z Grapheme to Phoneme Conversion for Standard Malay Teoh, Boon Seong Tan, Yeow Kee Li, Haizhou This paper presents the use of Joint Source-Channel model (JSC) to carry out grapheme-to-phonetic (G2P) transcription process on Standard Malay (SM) [1]. Previous work on using the JSC for English to Chinese name transliteration indicates good results. Hence it is assumed that similar result can be achieved for the task of transforming SM Grapheme to SM Phoneme, especially out-of-vocabulary (OOV) SM words. This paper will discuss the SM language and the rules for text preprocessing, which are defined by [2] for SM language. A cross validation experiment was carried out and the result shows that the proposed JSC achieves an accuracy of 86.3% for the first best choice in close test and 85.7% in open test. 2004-11-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research_smu/25 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1024&context=lkcsb_research_smu http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business (SMU Access Only) eng Institutional Knowledge at Singapore Management University Technology and Innovation
institution Singapore Management University
building SMU Libraries
country Singapore
collection InK@SMU
language English
topic Technology and Innovation
spellingShingle Technology and Innovation
Teoh, Boon Seong
Tan, Yeow Kee
Li, Haizhou
Grapheme to Phoneme Conversion for Standard Malay
description This paper presents the use of Joint Source-Channel model (JSC) to carry out grapheme-to-phonetic (G2P) transcription process on Standard Malay (SM) [1]. Previous work on using the JSC for English to Chinese name transliteration indicates good results. Hence it is assumed that similar result can be achieved for the task of transforming SM Grapheme to SM Phoneme, especially out-of-vocabulary (OOV) SM words. This paper will discuss the SM language and the rules for text preprocessing, which are defined by [2] for SM language. A cross validation experiment was carried out and the result shows that the proposed JSC achieves an accuracy of 86.3% for the first best choice in close test and 85.7% in open test.
format text
author Teoh, Boon Seong
Tan, Yeow Kee
Li, Haizhou
author_facet Teoh, Boon Seong
Tan, Yeow Kee
Li, Haizhou
author_sort Teoh, Boon Seong
title Grapheme to Phoneme Conversion for Standard Malay
title_short Grapheme to Phoneme Conversion for Standard Malay
title_full Grapheme to Phoneme Conversion for Standard Malay
title_fullStr Grapheme to Phoneme Conversion for Standard Malay
title_full_unstemmed Grapheme to Phoneme Conversion for Standard Malay
title_sort grapheme to phoneme conversion for standard malay
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/lkcsb_research_smu/25
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1024&context=lkcsb_research_smu
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