의미범주 태깅을 활용한 유의어 entire와 whole에 대한 연구 (A Study on Near-Synonyms entire and whole through Semantic Category Tagging)

서지정보

· 발행기관 : 한국중앙영어영문학회
· 수록지 정보 : 영어영문학연구 / 58권 / 3호 / 357 ~ 377페이지
· 저자명 : 하명호

초록

English is widely considered to be rich in near-synonyms of Germanic and Latin-Romance origins. It implies that EFL learners may find it very challenging to recognize the subtle nuances of the synonymous words. This study aims to explore the similarities and differences in meaning and usage of two near-synonyms, entire and whole, for EFL learners to avoid potential sources of errors. To get this goal, this study 1) surveys 82 Korean college students to examine the recognition of the two adjectives; 2) shows the stylistic and diachronic variation through BNC and COHA respectively; 3) summarizes the dictionary definitions retrieved from three online dictionaries and applies them to the extracted instances from BNC; 4) extracts 200 noun collocates (MI>3) from BNC and analyzes them using Wmatrix program to sort their semantic categories. The findings of this study clearly illustrate remarkable differences in meaning and usage of two near-synonyms. They indicate that utilizing the semantic categories extracted from Wmatrix program is very useful to clarify the subtle meaning differences between two near-synonyms and enhance the learning of lexicon.

영어초록

English is widely considered to be rich in near-synonyms of Germanic and Latin-Romance origins. It implies that EFL learners may find it very challenging to recognize the subtle nuances of the synonymous words. This study aims to explore the similarities and differences in meaning and usage of two near-synonyms, entire and whole, for EFL learners to avoid potential sources of errors. To get this goal, this study 1) surveys 82 Korean college students to examine the recognition of the two adjectives; 2) shows the stylistic and diachronic variation through BNC and COHA respectively; 3) summarizes the dictionary definitions retrieved from three online dictionaries and applies them to the extracted instances from BNC; 4) extracts 200 noun collocates (MI>3) from BNC and analyzes them using Wmatrix program to sort their semantic categories. The findings of this study clearly illustrate remarkable differences in meaning and usage of two near-synonyms. They indicate that utilizing the semantic categories extracted from Wmatrix program is very useful to clarify the subtle meaning differences between two near-synonyms and enhance the learning of lexicon.

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