Abstract
This study delves into Japanese for Specific Purposes (JSP) in Japanese language education, adapting to the evolving landscape of language learners’ preferences. I propose a self-learning system that leverages YouTube videos, catering to individual interests. Unlike traditional approaches, our system enables autonomous learning by allowing learners to select preferred Japanese YouTube videos, emphasizing necessary vocabulary and grammar. Using cooking-related videos as a case study, I analyze vocabulary usage through corpus-based methods. The analysis revealed that while a general vocabulary presentation showing a bilingual translation is sufficient for high-frequency words that commonly appear in multiple videos, it is required to present the characteristic words of each video along with meta-knowledge such as collocations of words, clichés, and technical terms. This study underscores the potential of digital resources for personalized language education, aiming to democratize access to language learning.
https://ror.org/03tgsfw79 
