Classification of non-analyzable word types in web documents to implement an effective Korean e-learning system 事件

Classification of non-analyzable word types in web documents to implement an effective Korean e-learning system arXiv:2605.29638v1 Announce Type: new Abstract: E-learning systems should deliver contents that reflect various phenomena of the language as it is used. In addition to formal Korean, e-learning systems that would include real-world Korean expressions such as those in web documents, mobile text messages, or twitter posts, would be useful to high-level learners. We construct two types o