Japanese Self-Directed Learning System with YouTube Requires Meta-knowledge of Collocation

DOI

Description

This study proposed a self-directed learning system that extracts subtitle information from YouTube videos and presents it as learning vocabulary. In recent years, Japanese language learners' interests have become more diverse, with easy access to multilingual information through SNS. Thus, it is assumed that there are many potential learners not enrolled in Japanese language institutes or less-than-learners. This study proposes a system for learners to learn Japanese from desired YouTube videos. The basic concept of the system is to extract subtitle information from 10 videos and present high-frequency words. The results of frequency analysis and co-occurrence analysis showed the feasibility of this system. At the same time, it was suggested that the characteristic words of each video should be presented together with their collocations and that meta-knowledge of their usages is required.

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Keywords

Details 詳細情報について

  • CRID
    1390578283211008768
  • DOI
    10.5954/icarob.2023.os28-1
  • ISSN
    21887829
  • Text Lang
    en
  • Data Source
    • JaLC
    • Crossref
  • Abstract License Flag
    Disallowed

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