Burmese speech corpus, finite-state text normalization and pronunciation grammars with an application to text-to-speech

YM Oo, T Wattanavekin, C Li, P De Silva… - Proceedings of the …, 2020 - aclanthology.org
This paper introduces an open-source crowd-sourced multi-speaker speech corpus along
with the comprehensive set of finite-state transducer (FST) grammars for performing text …

[PDF][PDF] Construct-Extract: An Effective Model for Building Bilingual Corpus to Improve English-Myanmar Machine Translation.

MM Zin, T Racharak, NM Le - ICAART (2), 2021 - academia.edu
When dealing with low resource languages such as Myanmar, using additional pseudo
parallel data for training machine translation systems is often an effective approach. As a …

Disambiguation using joint entropy in part of speech of written Myanmar text

STY Myint, GR Sinha - International Journal of Information Technology, 2019 - Springer
Myanmar language also known as Burmese language is a free order of word language and
syntactic patterns of one word can vary based on the position and the structure in the …

A neural joint model with BERT for Burmese syllable segmentation, word segmentation, and POS tagging

C Mao, Z Man, Z Yu, S Gao, Z Wang… - Transactions on Asian and …, 2021 - dl.acm.org
The smallest semantic unit of the Burmese language is called the syllable. In the present
study, it is intended to propose the first neural joint learning model for Burmese syllable …

[HTML][HTML] 缅甸语分词方法及其实现

马昌娥, 杨鉴 - Computer Science and Application, 2018 - hanspub.org
缅甸语与英语以及其它西方语言不同, 它的词之间没有明显的边界, 开发缅甸语的语音合成系统
时, 分词是其中的一个重要环节. 我们从大约600 M 的原始语料库中选取5000 个完整句子 …

[PDF][PDF] Sentiment Analysis of the Burmese Language Using n-Gram-Based Words

ML Phyu, K Hashimoto - icicel.org
Text analysis has been an important research area. Among text processing, opinion mining
which is deciding the opinions and giving feelings of others is popular. The researchers …

[引用][C] Burmese Segmentation Methods and Its Implementation

JY Chang'e Ma - 2018

[引用][C] Sentiment Analysis of the Burmese Language using the Distributive Representation of n-gram-based Word

ML Phyu, K Hashimoto