Why Korean Is Hard for AI pt.2

This chapter examines the complex relationship between artificial intelligence and the Korean language. The lecture analyzes the linguistic features that make Korean challenging for global AI models, focusing on its unique grammatical structure and morphological richness. It also explores Korea’s efforts to address these challenges through the development of localized AI language models such as KoGPT, Clova, and KorBERT.

What you will learn in this video:

• Structural and scientific features of Hangul
• Handling of Korean honorifics and speech levels
• Concept and key processes of Natural Language Processing (NLP)