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数据驱动学习在大学英语翻译教学中的应用 被引量:2

A Further Study on the Application of DDL in College English Translation Teaching
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摘要 数据驱动学习(DDL)利用语料库语言学方法,引导学习者通过观察大量真实语料发现和归纳语言现象,对改革传统外语教学模式起到开创性作用。如何使用该方法改革大学英语翻译实践是亟待解决的问题。将DDL方法应用于自建的本地学习者小型英汉双语语料库和权威双语平行语料库让学生可以从英汉对比的角度直观、全面地了解其各自典型差异,能够激发学生兴趣,对改革当前的大学英语翻译教学可以起到潜移默化的作用。 Data-driven learning developed from corpus linguistics plays a pioneering role in the evolution of EFL teaching, allowing the learners to indentify and induce language rules by observing numerous real corpora concordances. It becomes urgent to take advantage of this method and apply it to college transla- tion teaching. Applying DDL to our small-sized local learner translation corpora and two authoritative par- allel corpora allows the learners to appreciate the typical linguistic features in English and Chinese lan- guage and arouses their interests. As demonstrated, DDL proves a subtle effect to the revolution of college English translation teaching.
作者 刘小燕 张伟
出处 《西南科技大学学报(哲学社会科学版)》 2011年第6期55-59,共5页 Journal of Southwest University of Science and Technology:Philosophy and Social Science Edition
基金 江苏省社科联2010年度人文江苏外语类研究立项课题(RWJSW10-13)
关键词 数据驱动学习 大学英语翻译教学 本地学习者语料库 双语平行语料库 Data-driven learning College English translation teaching Local learner corpus Parallel corpora
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