Phoneme-based transliteration of foreign names for OOV problem
A proper noun dictionary is never complete rendering name translation from English to Chinese ineffective. One way to solve this problem is not to rely on a dictionary alone but to adopt automatic translation according to pronunciation similarities, i.e. to map phonemes comprising an English name to...
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Institutional Knowledge at Singapore Management University
2004
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sg-smu-ink.sis_research-56082019-12-26T07:37:20Z Phoneme-based transliteration of foreign names for OOV problem GAO, Wei WONG, Kam-Fai LAM, Wai A proper noun dictionary is never complete rendering name translation from English to Chinese ineffective. One way to solve this problem is not to rely on a dictionary alone but to adopt automatic translation according to pronunciation similarities, i.e. to map phonemes comprising an English name to the phonetic representations of the corresponding Chinese name. This process is called transliteration. We present a statistical transliteration method. An efficient algorithm for aligning phoneme chunks is described. Unlike rule-based approaches, our method is data-driven. Compared to source-channel based statistical approaches, we adopt a direct transliteration model, i.e. the direction of probabilistic estimation conforms to the transliteration direction. We demonstrate comparable performance to source-channel based system. 2004-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/4605 info:doi/10.1007/978-3-540-30211-7_12 https://ink.library.smu.edu.sg/context/sis_research/article/5608/viewcontent/Gao2005_Chapter_Phoneme_BasedTransliterationOf.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems |
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Databases and Information Systems GAO, Wei WONG, Kam-Fai LAM, Wai Phoneme-based transliteration of foreign names for OOV problem |
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A proper noun dictionary is never complete rendering name translation from English to Chinese ineffective. One way to solve this problem is not to rely on a dictionary alone but to adopt automatic translation according to pronunciation similarities, i.e. to map phonemes comprising an English name to the phonetic representations of the corresponding Chinese name. This process is called transliteration. We present a statistical transliteration method. An efficient algorithm for aligning phoneme chunks is described. Unlike rule-based approaches, our method is data-driven. Compared to source-channel based statistical approaches, we adopt a direct transliteration model, i.e. the direction of probabilistic estimation conforms to the transliteration direction. We demonstrate comparable performance to source-channel based system. |
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text |
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GAO, Wei WONG, Kam-Fai LAM, Wai |
author_facet |
GAO, Wei WONG, Kam-Fai LAM, Wai |
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GAO, Wei |
title |
Phoneme-based transliteration of foreign names for OOV problem |
title_short |
Phoneme-based transliteration of foreign names for OOV problem |
title_full |
Phoneme-based transliteration of foreign names for OOV problem |
title_fullStr |
Phoneme-based transliteration of foreign names for OOV problem |
title_full_unstemmed |
Phoneme-based transliteration of foreign names for OOV problem |
title_sort |
phoneme-based transliteration of foreign names for oov problem |
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Institutional Knowledge at Singapore Management University |
publishDate |
2004 |
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https://ink.library.smu.edu.sg/sis_research/4605 https://ink.library.smu.edu.sg/context/sis_research/article/5608/viewcontent/Gao2005_Chapter_Phoneme_BasedTransliterationOf.pdf |
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