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Syllable-to-Syllable and Word-to-Word Transducers for Burme..:
, In:
2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
,
Myint Oo, Thazin
;
Tanprasert, Thitipong
;
Kyaw Thu, Ye
. - p. 1-6 , 2022
Link:
https://doi.org/10.1109/iSAI-NLP56921.2022.9960259
RT T1
2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
: T1
Syllable-to-Syllable and Word-to-Word Transducers for Burmese Dialect Translation
UL https://suche.suub.uni-bremen.de/peid=ieee-9960259&Exemplar=1&LAN=DE A1 Myint Oo, Thazin A1 Tanprasert, Thitipong A1 Kyaw Thu, Ye A1 Supnithi, Thepchai YR 2022 SN 2831-4565 K1 Transducers K1 Libraries K1 Machine translation K1 Artificial intelligence K1 WFST K1 Machine Translation K1 Word Alignment K1 Myanmar Dialects K1 Low-resource Lan-guages SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/iSAI-NLP56921.2022.9960259 DO https://doi.org/10.1109/iSAI-NLP56921.2022.9960259 SF ELIB - SuUB Bremen
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