@inproceedings{ding-etal-2019-akkhara,
title = "{MY}-{AKKHARA}: A {R}omanization-based {B}urmese ({M}yanmar) Input Method",
author = "Ding, Chenchen and
Utiyama, Masao and
Sumita, Eiichiro",
editor = "Pad{\'o}, Sebastian and
Huang, Ruihong",
booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations",
month = nov,
year = "2019",
address = "Hong Kong, China",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/add-emnlp-2024-awards/D19-3027/",
doi = "10.18653/v1/D19-3027",
pages = "157--162",
abstract = "MY-AKKHARA is a method used to input Burmese texts encoded in the Unicode standard, based on commonly accepted Latin transcription. By using this method, arbitrary Burmese strings can be accurately inputted with 26 lowercase Latin letters. Meanwhile, the 26 uppercase Latin letters are designed as shortcuts of lowercase letter sequences. The frequency of Burmese characters is considered in MY-AKKHARA to realize an efficient keystroke distribution on a QWERTY keyboard. Given that the Unicode standard has not been extensively used in digitization of Burmese, we hope that MY-AKKHARA can contribute to the widespread use of Unicode in Myanmar and can provide a platform for smart input methods for Burmese in the future. An implementation of MY-AKKHARA running in Windows is released at \url{http://www2.nict.go.jp/astrec-att/member/ding/my-akkhara.html}"
}
Markdown (Informal)
[MY-AKKHARA: A Romanization-based Burmese (Myanmar) Input Method](https://preview.aclanthology.org/add-emnlp-2024-awards/D19-3027/) (Ding et al., EMNLP-IJCNLP 2019)
ACL
- Chenchen Ding, Masao Utiyama, and Eiichiro Sumita. 2019. MY-AKKHARA: A Romanization-based Burmese (Myanmar) Input Method. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, pages 157–162, Hong Kong, China. Association for Computational Linguistics.