Open Korean Corpora: A Practical Report
Cho, Won Ik, Moon, Sangwhan, Song, Youngsook
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
May-16-2023
- Country:
- North America > United States
- Oregon (0.04)
- Washington > King County
- Seattle (0.04)
- California > San Diego County
- San Diego (0.04)
- Europe
- Asia
- North Korea (0.04)
- South Korea
- Seoul > Seoul (0.05)
- Gyeongsangnam-do > Changwon (0.04)
- Middle East > UAE
- Abu Dhabi Emirate > Abu Dhabi (0.04)
- Japan > Honshū
- Kantō > Tokyo Metropolis Prefecture > Tokyo (0.14)
- North America > United States
- Genre:
- Research Report (0.40)
- Technology:
- Information Technology
- Communications > Social Media (1.00)
- Artificial Intelligence
- Speech (1.00)
- Machine Learning (0.93)
- Natural Language
- Text Processing (0.94)
- Large Language Model (0.93)
- Grammars & Parsing (0.69)
- Information Technology