Examples of Synonym Analysis Using Linguistic Data: In Example of TOKUBETSU, TOKUSHU
대구가톨릭대학교 일어일문학과 조교수, Kyungwan Kang · 비교일본학 · 2022
In this paper, using TOKUBETSU and TOKUSHU as examples, I examined how to analyze the differences in synonyms through close observation of the actual state of usage shown in the corpus, which is large-scale linguistic data. The criteria for distinguishing between TOKUBETSU and TOKUSHU are presented in detail from three perspectives: frequency, context, and genre. First, in terms of frequency ratio, 73% of TOKUBETSU>24% of TOKUSHU(BCCWJ), 70.5% of TOKUBETSU>26.8% of TOKUSHU (NLT), indicating the same trend regardless of data. From this, the superiority of TOKUBETSU in both general usage and the order of introduction in vocabulary education was confirmed. Second, the discriminative criterion was extracted through the semantic tendency of the trailing noun in the context of use. TOKUBETSU indicates that “the speaker's subjective judgment should distinguish it from the ordinary” or “the objective content or intensity itself is not ordinary and therefore distinguished,” while TOKUSHU indicates “something that is different from the average in quality.” Third, in terms of the genre of use, TOKUBETSU is more often used in public documents and scenes such as laws, parliamentary minutes, publicity papers, textbooks, and white papers than TOKUSHU, and is also used more frequently in everyday scenes such as web blogs.