English-to-Myanmar Statistical Machine Translation Using a Language Model on Part-of-Speech in Decoding

dc.contributor.author	Aye, Hnin Thu Zar
dc.contributor.author	Ding, Chenchen
dc.contributor.author	Pa, Win Pa
dc.contributor.author	Nwet, Khin Thandar
dc.contributor.author	Utiyama, Masao
dc.contributor.author	Sumita, Eiichiro
dc.date.accessioned	2019-07-15T03:06:39Z
dc.date.available	2019-07-15T03:06:39Z
dc.date.issued	2017-02-16
dc.identifier.uri	http://onlineresource.ucsy.edu.mm/handle/123456789/889
dc.description.abstract	In this study, we investigate English-to-Myanmar statistical machine translation (SMT) by using part-of-speech (POS) as linguistic inform-ation which is valuable for statistical machine translation systems to extract translation rules. This paper presents the POS tagger which is also used as segmenter, how to add POS to the phrase-based SMT and the experiment. The experimental results showed that the baseline SMT with POS that used POS tagged language model could outperform the baseline system in terms of BLEU and RIBES scores.	en_US
dc.language.iso	en	en_US
dc.publisher	Fifteenth International Conference on Computer Applications(ICCA 2017)	en_US
dc.title	English-to-Myanmar Statistical Machine Translation Using a Language Model on Part-of-Speech in Decoding	en_US
dc.type	Article	en_US