2026-10-25T01:15:34Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4586 2021-12-13T06:19:13Z 1582963302567:1597824175385 user-ucsy

Statistical Machine Translation between Myanmar and Myeik Oo, Thazin Myint Thu, Ye Kyaw Soe, Khin Mar Supnithi, Thepchai This paper contributes the first evaluation of the quality of machine translation betweenMyanmar and Myeik (also known as Beik) . We also developed a Myanmar-Myeik parallel corpus (around10K sentences) based on the Myanmar language of ASEAN MT corpus. In addition, two types ofsegmentation were studied word and syllable segmentation. The 10 folds cross-validation experiments werecarried out using three different statistical machine translation approaches: phrase-based, hierarchical phrasebased, and the operation sequence model (OSM). The results show that all three statistical machinetranslation approaches give higher and comparable BLEU and RIBES scores for both Myanmar to Myeik andMyeik to Myanmar machine translations. OSM approach achieved the highest BLEU and RIBES scoresamong three approaches. We also found that syllable segmentation is appropriate for translation qualitycomparing with word level segmentation results. 2020-02-28 http://hdl.handle.net/20.500.12678/0000004586 https://meral.edu.mm/records/4586