Earticle

초록

영어

While text difficulty is one of the critical considerations in developing and selecting materials for interpreter training, its assessment is a challenging task due to the complexities involved in analyzing a large number of text characteristics. The recent developments in automated text analysis methods and tools are expected to alleviate the burden of individual teachers and students assessing source text difficulty by aiding their decision making process with the immediate provision of data on the objective and quantifiable text dimensions. This study presents three cases of applying automated assessment of source text difficulty based on the five Text Easability Principal Component Scores provided by Coh-Metrix, a widely-used automated tool for multilevel analyses of text characteristics. For the purpose of the study, source texts used for interpreter training in Korea and China were sampled to conduct text difficulty assessment with Coh-Metrix measures and its visualization tool. The study discusses the potential benefits of automated analysis of multidimensional text difficulty for selecting the appropriate materials for effective interpreter training.

목차

Abstract
I. 들어가는 말
II. 코메트릭스: 텍스트 특성에 대한 다차원적 분석
III. 분석 자료와 분석 방법
1. 분석 자료 및 방법
2. 분석 도구
IV. 코메트릭스를 이용한 원문 난이도 평가 사례 및 논의
1. 통역 교육과정별 원문 텍스트 난이도 평가 및 비교: 한국과 중국
2. 통역 수업별 원문 난이도 평가 및 비교: 순차통역과 동시통역
3. 개별 원문 텍스트의 난이도 평가: 테라를 이용한 시각화
V. 나가는 말
참고문헌

저자

• 최문선 [ Moonsun Choi | 이화여자대학교 ]

참고문헌