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Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB).

Sourcing for large amount of text and translating them are some of the challenges in building an Example-Based Machine Translation (EBMT) system. These big amounts of translated texts are annotated into the S-SSTC format to cover an extensive vocabulary and sentence structures. However, the Bilingua...

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Main Authors: Lim, Huan Ngee, Ye, Hong Hoe, Lim, Chai Kim, Tang, Enya Kong
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
QA75.5-76.95 Electronic computers. Computer science
Online Access:http://eprints.usm.my/9394/1/Adapting_an_Existing_Example-Based_Machine_Translation_%28EBMT%29_System_for_New_Language_Pairs_based_on_an_Optimized_Bilingual_Knowledge_Bank_%28BKB%29.pdf
http://eprints.usm.my/9394/
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spelling my.usm.eprints.9394 http://eprints.usm.my/9394/ Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB). Lim, Huan Ngee Ye, Hong Hoe Lim, Chai Kim Tang, Enya Kong QA75.5-76.95 Electronic computers. Computer science Sourcing for large amount of text and translating them are some of the challenges in building an Example-Based Machine Translation (EBMT) system. These big amounts of translated texts are annotated into the S-SSTC format to cover an extensive vocabulary and sentence structures. However, the Bilingual Knowledge Bank (BKB), which is a collection of the S-SSTCs, will normally contain redundancy. Hence, the idea of an optimized BKB is born. An optimized BKB (redundancy reduced; is smaller in size but is as equally extensive in term of its sentence structure coverage compared to an un-optimized BKB. Therefore, an optimized BKB enhances the performance of the EBMT. In this paper, we introduce the idea of an optimized BKB and propose it to be re-used to effectively construct new BKBs in order to adapt an existing EBMT for new language pairs. 2007-11 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/9394/1/Adapting_an_Existing_Example-Based_Machine_Translation_%28EBMT%29_System_for_New_Language_Pairs_based_on_an_Optimized_Bilingual_Knowledge_Bank_%28BKB%29.pdf Lim, Huan Ngee and Ye, Hong Hoe and Lim, Chai Kim and Tang, Enya Kong (2007) Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB). In: The 11th International Conference on Translation, November 2007, Kuala Lumpur , Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic QA75.5-76.95 Electronic computers. Computer science
spellingShingle QA75.5-76.95 Electronic computers. Computer science
Lim, Huan Ngee
Ye, Hong Hoe
Lim, Chai Kim
Tang, Enya Kong
Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB).
description Sourcing for large amount of text and translating them are some of the challenges in building an Example-Based Machine Translation (EBMT) system. These big amounts of translated texts are annotated into the S-SSTC format to cover an extensive vocabulary and sentence structures. However, the Bilingual Knowledge Bank (BKB), which is a collection of the S-SSTCs, will normally contain redundancy. Hence, the idea of an optimized BKB is born. An optimized BKB (redundancy reduced; is smaller in size but is as equally extensive in term of its sentence structure coverage compared to an un-optimized BKB. Therefore, an optimized BKB enhances the performance of the EBMT. In this paper, we introduce the idea of an optimized BKB and propose it to be re-used to effectively construct new BKBs in order to adapt an existing EBMT for new language pairs.
format Conference or Workshop Item
author Lim, Huan Ngee
Ye, Hong Hoe
Lim, Chai Kim
Tang, Enya Kong
author_facet Lim, Huan Ngee
Ye, Hong Hoe
Lim, Chai Kim
Tang, Enya Kong
author_sort Lim, Huan Ngee
title Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB).
title_short Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB).
title_full Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB).
title_fullStr Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB).
title_full_unstemmed Adapting An Existing Example-Based Machine Translation (EBMT) System For New Language Pairs Based On An Optimized Bilingual Knowledge Bank (BKB).
title_sort adapting an existing example-based machine translation (ebmt) system for new language pairs based on an optimized bilingual knowledge bank (bkb).
publishDate 2007
url http://eprints.usm.my/9394/1/Adapting_an_Existing_Example-Based_Machine_Translation_%28EBMT%29_System_for_New_Language_Pairs_based_on_an_Optimized_Bilingual_Knowledge_Bank_%28BKB%29.pdf
http://eprints.usm.my/9394/
_version_ 1643701257929490432
score 13.211869

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