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Lexicalized Reordering Models for English-Myanmar Phrase-based Statistical Machine Translation
http://hdl.handle.net/20.500.12678/0000003449
http://hdl.handle.net/20.500.12678/0000003449b91675f9-7268-46ca-9dcd-54e038b69b4f
4f23163a-fb0c-4d96-885a-8367d4368517
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ICCA 2019 Proceedings Book-pages-158-164.pdf (778 Kb)
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Lexicalized Reordering Models for English-Myanmar Phrase-based Statistical Machine Translation | |||||
Language | en | |||||
Publication date | 2019-02-27 | |||||
Authors | ||||||
Nyein, May Kyi | ||||||
Soe, Khin Mar | ||||||
Description | ||||||
Reordering is extremely desirable fortranslation accuracy when translating between highdisparity language pairs in word order. The aim ofthis paper is the comparative study of lexicalizedreordering models (LRM) by Moses to investigate thetranslation performance for English-Myanmarstatistical machine translation (SMT) system. Thestudied methods are word-based, phrase-based andhierarchical phrase-based LRM by using variousorientations and distortion limits. This reorderingmodel calculates reordering probability conditionedon the word of each phrase pair. We applied Mosesphrase-based SMT (PBSMT) system to makeexperiments for the variants of LRM and evaluatedthe BLEU and RIBES scores to measure theperformance of machine translation. According to thisexperiments, hierarchical phrase-based reorderingmodel in MSD orientation gives the highest scores inEnglish-Myanmar SMT system. | ||||||
Keywords | ||||||
statistical machine translation (SMT), Lexicalized reordering model (LRM), orientations, reordering probabilities, Moses | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/1198 | |||||
Journal articles | ||||||
Seventeenth International Conference on Computer Applications(ICCA 2019) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |