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Found 12 papers, 1 papers with code
NECTEC’s Participation in WAT-2021
In this paper, we report the experimental results of Machine Translation models conducted by a NECTEC team for the translation tasks of WAT-2021.
Hybrid Statistical Machine Translation for English-Myanmar: UTYCC Submission to WAT-2021
In this paper we describe our submissions to WAT-2021 (Nakazawa et al., 2021) for English-to-Myanmar language (Burmese) task.
Neural Machine Translation between Myanmar (Burmese) and Rakhine (Arakanese)
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.
Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary
Grapheme-to-Phoneme (G2P) conversion is the task of predicting the pronunciation of a word given its graphemic or written form.
Introducing the Asian Language Treebank (ALT)
The project has so far created a corpus for Myanmar and will extend in scope to include other languages in the near future.
Khmer Word Segmentation Using Conditional Random Fields
The trained CRF segmenter was compared empirically to a baseline approach based on maximum matching that used a dictionary extracted from the manually segmented corpus.
