The Korean language is used by more than 80M people and is increasingly gaining popularity due to K-dramas, K-pop, variety shows, and games. However, despite its popularity, it is a minor lanuage in natural lanyage processing research as most research is carried out in English.
During her graduate
studies at Seoul National University, Lucy learned that many open source
packages for the Korean language were often difficult to access. So in 2014, she developed and released KoNLPy, an open-source
Python package for Korean natural language processing, focusing on easy access, usability, and scalability. The
package garnered many users in Korea and is still widely used for production
and educational purposes. She furthured her passion for the Korean language
while working on Papago, South Korea's tech giant Naver's machine translation application. She built an honorific-sensitive machine
translation application of Naver in 2017, which gained popularity for many people learning
the Korean language. In 2020 Lucy co-founded Upstage, where she keeps
developing AI models to make AI beneficial to many people.
Upstage is an AI solution
company working on computer vision, recommender systems, and natural language
processing. One of the efforts they recently made for Korean language
processing is to lead the initiative for KLUE, a Korean language understanding
evaluation benchmark. This is a big deal since the released dataset is one of
the first and most extensive Korean datasets free from copyright license issues.
Lucy participated in creating data for the machine reading comprehension task.
Upstage has earned 8.8 billion won in revenue in just eight months
since its founding by providing AI solutions. They will be releasing reusable
AI packs in the near future.