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New Index
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Item
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Reordering Model with Recurrent Neural Networks for Myanmar- English Statistical Machine Translation
http://hdl.handle.net/20.500.12678/0000004997
http://hdl.handle.net/20.500.12678/0000004997ebb2c22b-1b2f-4eec-8dcf-e23f3ce494d9
6f84143e-e322-47bc-abac-ce41b31457ba
Name / File | License | Actions |
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Reordering Model with Recurrent Neural Networks for Myanmar- English Statistical Machine Translation | |||||
Language | en | |||||
Publication date | 2017-02-16 | |||||
Authors | ||||||
Nyein, May Kyi | ||||||
Soe, Khin Mar | ||||||
Description | ||||||
Word reordering is a problematic issue forlanguage pairs with significantly different word orders,such as the translation between a subject-verb-object(SVO) language and a subject-object-verb (SOV)language. When translating between language pairswith high disparity in word order, reordering isextremely desirable for translation accuracy. In thispaper, the future research directions of reorderingmodels for Myanmar-English statistical machinetranslation (SMT) are also depicted. In this reorderingmodel, the word order on source-side is arranged intothe target side word order, before SMT system isapplied. We propose the use of recurrent neuralnetworks (RNNs) to model preordering for SMT. | ||||||
Keywords | ||||||
Reordering, English-Myanmar statistical machine translation, recurrent neural networks | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/894 | |||||
Journal articles | ||||||
Fifteenth International Conference on Computer Applications (ICCA 2017) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |