抄録
This paper details the development of a specialized lecture corpus at the Faculty of Engineering and discusses its applications in Japanese language education. Specifically, the study addresses the following four aspects: (a) compiling a vocabulary list for each subject, annotated with characteristic information for each lecture based on TF-IDF value calculations; (b) sampling kanji frequently used in lectures through character n-grams; (c) investigating common expressions in lectures using word n-grams; and (d) exploring academic word synonyms with word2vec. These findings will facilitate learners’ seamless integration into specialized lectures.