Autor:	Cho, Won Ik, Moon, Sangwhan, Song, Youngsook
Rok vydání:	2020
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
DOI:	10.18653/v1/2020.nlposs-1.12
Popis:	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. Comment: Published in NLP-OSS @EMNLP2020; May 2023 version added with new datasets
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2012.15621 Zobrazit plný text záznamu View this record from Arxiv