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Need for data-driven instruction of engineering English

机译：需要数据驱动的工程英语教学

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The author emphasizes the role of data-driven corpus-based methodology that promotes the study of natural language on examples of real life language use in teaching English for Specific Purposes (ESP), such as Engineering English. This approach can improve the way Engineering English is taught and add more creativity in ESP classes. In particular, the author demonstrates how vocabulary teaching in the ESP context can benefit from a corpus-based approach. She addresses the issue of technical and sub-ontechnical vocabulary with characteristic examples from teaching situations in Southeast Asia. It is argued that sub-ontechnical vocabulary should be given more attention in the ESP classrooms than technical vocabulary. Surprisingly, sub-ontechnical words seem to cause more problems for ESP students specializing in technical fields than technical terms. It is also claimed that the availability of specialist language corpora and computerized text analysis (i.e., concordancing) programs can help learners acquire what D. Bolinger (1976) called "the prefabs of language," or formulaic multiword units (collocations), for technical and nontechnical uses.
机译：作者强调了基于数据驱动的基于语料库的方法的作用，该方法促进了自然语言研究在特定目的英语（ESP）的实际语言用法示例中的作用，例如工程英语。这种方法可以改善工程英语的教学方式，并在ESP课程中增加更多创造力。特别是，作者演示了ESP上下文中的词汇教学如何从基于语料库的方法中受益。她用东南亚教学环境中的典型例子来解决技术和非技术/非技术词汇的问题。有人认为，在ESP课堂上应该比技术词汇更关注次/非技术词汇。出乎意料的是，对于专业于技术领域的ESP学生而言，次/非技术词似乎比技术术语引起更多的问题。还据称，专业语言语料库和计算机文本分析（即和声）程序的可用性可以帮助学习者获得D. Bolinger（1976）所谓的“语言预制词”，或用于技术的公式化多词单元（搭配）和非技术用途。

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