NECTEC’s Participation in WAT-2021

no code implementations • ACL (WAT) 2021 • Zar Zar Hlaing, Ye Kyaw Thu, Thazin Myint Oo, Mya Ei San, Sasiporn Usanavasin, Ponrudee Netisopakul, Thepchai Supnithi

In this paper, we report the experimental results of Machine Translation models conducted by a NECTEC team for the translation tasks of WAT-2021.

Decoder Machine Translation +3

Hybrid Statistical Machine Translation for English-Myanmar: UTYCC Submission to WAT-2021

no code implementations • ACL (WAT) 2021 • Ye Kyaw Thu, Thazin Myint Oo, Hlaing Myat Nwe, Khaing Zar Mon, Nang Aeindray Kyaw, Naing Linn Phyo, Nann Hwan Khun, Hnin Aye Thant

In this paper we describe our submissions to WAT-2021 (Nakazawa et al., 2021) for English-to-Myanmar language (Burmese) task.

Decoder Translation +1

Statistical Machine Translation between Myanmar (Burmese) and Dawei (Tavoyan)

no code implementations • NSURL 2019 • Thazin Myint Oo, Ye Kyaw Thu, Khin Mar Soe, Thepchai Supnithi

Machine Translation Translation

UCSYNLP-Lab Machine Translation Systems for WAT 2018

no code implementations • PACLIC 2018 • Yi Mon Shwe Sin, Thazin Myint Oo, Hsu Myat Mo, Win Pa Pa, Khim Mar Soe, Ye Kyaw Thu

Machine Translation Translation

Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)

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.

Machine Translation NMT +3