2026-04-17T08:38:13Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4991 2022-03-24T23:16:29Z 1582963302567:1597824273898 user-ucsy

English-to-Myanmar Statistical Machine Translation Using a Language Model on Part-of-Speech in Decoding Aye, Hnin Thu Zar Ding, Chenchen Pa, Win Pa Nwet, Khin Thandar Utiyama, Masao Sumita, Eiichiro In this study, we investigate English-to-Myanmarstatistical machine translation (SMT) by usingpart-of-speech (POS) as linguistic inform-ationwhich is valuable for statistical machine translationsystems to extract translation rules. This paperpresents the POS tagger which is also used assegmenter, how to add POS to the phrase-based SMTand the experiment. The experimental results showedthat the baseline SMT with POS that used POStagged language model could outperform thebaseline system in terms of BLEU and RIBES scores. 2017-02-16 http://hdl.handle.net/20.500.12678/0000004991 https://meral.edu.mm/records/4991