EMNLP 2022main2 citations

Break it Down into BTS: Basic, Tiniest Subword Units for Korean

Nayeon Kim, Jun-Hyung Park, Joon-Young Choi, Eojin Jeon, Youjin Kang, SangKeun Lee

Abstract

We introduce Basic, Tiniest Subword (BTS) units for the Korean language, which are inspired by the invention principle of Hangeul, the Korean writing system. Instead of relying on 51 Korean consonant and vowel letters, we form the letters from BTS units by adding strokes or combining them. To examine the impact of BTS units on Korean language processing, we develop a novel BTS-based word embedding framework that is readily applicable to various models. Our experiments reveal that BTS units significantly improve the performance of Korean word embedding on all intrinsic and extrinsic tasks in our evaluation. In particular, BTS-based word embedding outperforms the state-of-theart Korean word embedding by 11.8% in word analogy. We further investigate the unique advantages provided by BTS units through indepth analysis.

BibTeX
@inproceedings{kim-etal-2022-break,
    title = "Break it Down into {BTS}: Basic, Tiniest Subword Units for {K}orean",
    author = "Kim, Nayeon  and
      Park, Jun-Hyung  and
      Choi, Joon-Young  and
      Jeon, Eojin  and
      Kang, Youjin  and
      Lee, SangKeun",
    editor = "Goldberg, Yoav  and
      Kozareva, Zornitsa  and
      Zhang, Yue",
    booktitle = "Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.emnlp-main.472/",
    doi = "10.18653/v1/2022.emnlp-main.472",
    pages = "7007--7024"
}