Korean is often referred to as a low-resource language in the research community. While this claim is partially true, it is also because the availability of resources is inadequately advertised and curated. This work curates and reviews a list of Korean corpora, first describing institution-level resource development, then further iterate through a list of current open datasets for different types of tasks. We then propose a direction on how open-source dataset construction and releases should be done for less-resourced languages to promote research.
@article{arxiv.2012.15621,
title = {Open Korean Corpora: A Practical Report},
author = {Won Ik Cho and Sangwhan Moon and Youngsook Song},
journal= {arXiv preprint arXiv:2012.15621},
year = {2023}
}
Comments
Published in NLP-OSS @EMNLP2020; May 2023 version added with new datasets