Improving English-to-Myanmar Statistical Machine Translation by using Recurrent Neural Network Language Model and Hierarchical Reordering

Zin, May Myo; Soe, Khin Mar

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Improving English-to-Myanmar Statistical Machine Translation by using Recurrent Neural Network Language Model and Hierarchical Reordering

http://hdl.handle.net/20.500.12678/0000004996

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Publication type
		Article
Upload type
		Publication
Title
	Title	Improving English-to-Myanmar Statistical Machine Translation by using Recurrent Neural Network Language Model and Hierarchical Reordering
	Language	en
Publication date		2017-02-16
Authors
		Zin, May Myo
		Soe, Khin Mar
Description
		In this paper, a comparison between neuralbased network that adopts Recurrent Neural Network(RNN) language model and statistical based one withN-gram language model is conducted for English-to-Myanmar phrase-based statistical machine translation(PBSMT). In this comparison, lexicalized reorderingmodels such as word-based, phrase-based andhierarchical orientation models are used as anadditional reordering model to investigate the overallperformance of PBSMT. The perplexity valueevaluation of both language models showed that theuse of RNN obtains a more excellent result. Accordingto the obtained BLEU and RIBES scores andadditional human visual inspection, the English-to-Myanmar PBSMT with RNN language model andhierarchical reordering model is the best one in termsof improving adequacy and fluency.
Keywords
		Phrase-based SMT, RNN, Hierarchical Reordering
Identifier		http://onlineresource.ucsy.edu.mm/handle/123456789/893
Journal articles
		Fifteenth International Conference on Computer Applications(ICCA 2017)
Conference papers
Books/reports/chapters
Thesis/dissertations