10 Best Korean Language Datasets for Machine Learning Lionbridge AI

Diverse AI training data is imperative to building multilingual machine learning models, especially for morphologically complex languages like Korean. Because finding enough relevant data in Korean is difficult, we at Lionbridge have put together a comprehensive list of public Korean datasets for machine learning. National Institute of the Korean Language Corpus: This dataset contains frequency information on Korean, which is spoken by 80 million people. For each item, both the frequency (number of times it occurs in the corpus) and its relative rank to other lemmas is provided. Sentiment Lexicons for 81 Languages: This dataset contains both positive and negative sentiment lexicons for 81 languages, including Korean.