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Burmese (Myanmar) Name Romanization: A Sub-syllabic Segmentation Scheme for Statistical Solutions.

, , , and . PACLING, volume 781 of Communications in Computer and Information Science, page 191-202. Springer, (2017)

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Back-Propagation Neural Network Approach to Myanmar Part-of-Speech Tagging., , and . ICGEC, volume 536 of Advances in Intelligent Systems and Computing, page 212-220. (2016)Myanmar Number Normalization for Text-to-Speech., , and . PACLING, volume 781 of Communications in Computer and Information Science, page 263-274. Springer, (2017)Myanmar News Headline Generation with Sequence-to-Sequence model., and . O-COCOSDA, page 117-122. IEEE, (2020)Building Speaker Identification Dataset for Noisy Conditions., and . ICCA, page 1-6. IEEE, (2020)DNN Based Myanmar Speech Synthesis., , and . SLTU, page 142-146. ISCA, (2018)A Large Vocabulary End-to-End Myanmar Automatic Speech Recognition., and . MMAsia (Workshops), page 5:1-5:5. ACM, (2023)Unsupervised Dependency Corpus Annotation for Myanmar Language., , and . O-COCOSDA, page 78-83. IEEE, (2018)A Myanmar large vocabulary continuous speech recognition system., , , , , , and . APSIPA, page 320-327. IEEE, (2015)Burmese (Myanmar) Name Romanization: A Sub-syllabic Segmentation Scheme for Statistical Solutions., , , and . PACLING, volume 781 of Communications in Computer and Information Science, page 191-202. Springer, (2017)A Burmese (Myanmar) Treebank: Guideline and Analysis., , , , , and . ACM Trans. Asian Low Resour. Lang. Inf. Process., 19 (3): 40:1-40:13 (2020)