no code implementations • LREC 2020 • Aye Myat Mon, Chenchen Ding, Hour Kaing, Khin Mar Soe, Masao Utiyama, Eiichiro Sumita
For the Myanmar (Burmese) language, robust automatic transliteration for borrowed English words is a challenging task because of the complex Myanmar writing system and the lack of data.
no code implementations • WS 2019 • Thazin Myint Oo, Ye Kyaw Thu, Khin Mar Soe
If we focus on NMT, we find that the transformer with Word-BPE segmentation outperforms CNN and RNN for both Myanmar-Rakhine and Rakhine-Myanmar translation.
no code implementations • 12 Mar 2019 • Hsu Myat Mo, Khin Mar Soe
In this work, NER for Myanmar language is treated as a sequence tagging problem and the effectiveness of deep neural networks on NER for Myanmar language has been investigated.