The Korean Morphologically Tight-Fitting Tokenizer for Noisy User-Generated Texts

Sangah Lee, Hyopil Shin. The Korean Morphologically Tight-Fitting Tokenizer for Noisy User-Generated Texts. In Wei Xu 0004, Alan Ritter, Tim Baldwin, Afshin Rahimi 0001, editors, Proceedings of the Seventh Workshop on Noisy User-generated Text, W-NUT 2021, Online, November 11, 2021. pages 410-416, Association for Computational Linguistics, 2021. [doi]

@inproceedings{LeeS21-19,
  title = {The Korean Morphologically Tight-Fitting Tokenizer for Noisy User-Generated Texts},
  author = {Sangah Lee and Hyopil Shin},
  year = {2021},
  url = {https://aclanthology.org/2021.wnut-1.45},
  researchr = {https://researchr.org/publication/LeeS21-19},
  cites = {0},
  citedby = {0},
  pages = {410-416},
  booktitle = {Proceedings of the Seventh Workshop on Noisy User-generated Text, W-NUT 2021, Online, November 11, 2021},
  editor = {Wei Xu 0004 and Alan Ritter and Tim Baldwin and Afshin Rahimi 0001},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-954085-90-9},
}