Factored Machine Translation for Myanmar to English, Japanese and Vice Versa

dc.contributor.author	Finch, Andrew
dc.contributor.author	Thu, Ye Kyaw
dc.contributor.author	Tamura, kihiro
dc.contributor.author	Sumita, Eiichiro
dc.contributor.author	Sagisaka, Yoshinori
dc.date.accessioned	2019-07-03T02:57:57Z
dc.date.available	2019-07-03T02:57:57Z
dc.date.issued	2014-02-17
dc.identifier.uri	http://onlineresource.ucsy.edu.mm/handle/123456789/113
dc.description	We would like to thank University of Computer Studies, Yangon (UCSY) for sharing their POS tagged Myanmar data for this experiment.	en_US
dc.description.abstract	Factored machine translation models extend traditionalPhrase Based Statistical Machine Translation (PB-SMT) by taking into account notonly the surface form of the words, but also linguistic knowledge such as the dictionary form (lemma), partof- speech (POS) and morphological tags. In this paper, we used POS tagsas a factor and built factored machine translation models with various translation configurations for Myanmar to English, Japanese translation and vice versa.The experimental results show an improvement in translation quality for Myanmar to English and Myanmar to Japanese language pairs.	en_US
dc.language.iso	en	en_US
dc.publisher	Twelfth International Conference On Computer Applications (ICCA 2014)	en_US
dc.title	Factored Machine Translation for Myanmar to English, Japanese and Vice Versa	en_US
dc.type	Article	en_US