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컴퓨터 문체 분석법을 활용한 번역가 문체 연구

A computational linguistic analysis of translator’s style.

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참고문헌

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주제분류통역번역학

초록

The paper tackles the question of if translator’s style can be found in translated texts. It applies four exploratory multivariate statistical methods - principal component analysis, multidimensional scaling, ierarchical cluster analysis and consensus tree analysis - to 300 most frequent words from a corpus of 34 English translations of Korean novels, which represents five translators. The tests are generally successful in verifying the presence of traces of translator’s style as the translated works show a strong tendency of clustering around individual translators.

Abstract

The paper tackles the question of if translator’s style can be found in translated texts. It applies four exploratory multivariate statistical methods - principal component analysis, multidimensional scaling, ierarchical cluster analysis and consensus tree analysis - to 300 most frequent words from a corpus of 34 English translations of Korean novels, which represents five translators. The tests are generally successful in verifying the presence of traces of translator’s style as the translated works show a strong tendency of clustering around individual translators.

참고문헌 (33)

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