Abstract
Nineteen student interpreters who were unbalanced Chinese-English bilinguals were recruited. Their performance in a Chinese-to-English (C-E) consecutive interpreting (CI) task, performance in an English-to-Chinese (E-C) CI task, and performance in two summarization tasks respectively following the two CI tasks were examined. Results showed that (1) no significant difference was found in students’ overall interpreting performance between C-E and E-C CI, but their performance in target language grammaticality and appropriateness was found significantly better in E-C than in C-E CI; (2) students achieved significantly better performance in the summarization following C-E CI than they did in the summarization following E-C CI; (3) in E-C CI (but not in C-E CI), summarization performance was significantly correlated with interpreting performance (both overall performance and performance in target language grammaticality and appropriateness); besides, summarization performance had significant and positive predictive power on interpreting performance in E-C CI. Pedagogical implications are discussed.
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Acknowledgements
The authors are grateful to Prof. Yanping Dong from Bilingual Cognition and Development Lab, Guangdong University of Foreign Studies (GDUFS) for her supervision to the current research. The authors also thank members from Bilingual Cognition and Development Lab, GDUFS for their assistance in data collection. The research was supported by a grant (BCD201702) from Bilingual Cognition and Development Lab, GDUFS, a grant (290-XGS17023) directly from GDUFS, and a grant (GD18YWW02) from Guangdong Planning Office of Philosophy and Social Science.
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Li, Y., Yan, H. (2019). Summarization Exercises and Interpreting Performance in Blended Interpreting Training. In: Cheung, S., Lee, LK., Simonova, I., Kozel, T., Kwok, LF. (eds) Blended Learning: Educational Innovation for Personalized Learning. ICBL 2019. Lecture Notes in Computer Science(), vol 11546. Springer, Cham. https://doi.org/10.1007/978-3-030-21562-0_10
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