Constructing subject-specific lists of multiword combinations for EAP: A case study

Pub Date : 2020-11-25 DOI:10.1515/phras-2020-0003
A. Khamkhien, S. Wharton
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引用次数: 1

Abstract

Abstract This study combines a corpus-based approach and intuition-based judgements to develop a set of multiword combinations for research publications in academic journals. To obtain a representative sample, a corpus of four internal sections of 120 Applied Linguistics research articles indexed in the TCI (Thai Citation Index) database was systematically compiled and investigated. To identify n-grams which occur frequently in the corpus, a corpus-based approach was used. First, a list of 49 content-based strings, likely to be the most useful for pedagogic purposes, was derived. Based on their grammatical and semantic relationships, 3-grams were further investigated. For multiword sequences to occur frequently in the corpus, some pragmatic functionality is required which contributes to pedagogical use. Five EAP instructors were therefore invited to select the useful multiword combinations from the list of identified n-grams. A list of 289 phraseological patterns was finally created successfully. The list can provide additional evidence-based and corpus-informed instructional resources which support English teachers with the planning of lessons as well as materials design and development, particularly for advanced language courses which target scholarly writing.
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为EAP构建特定主题的多词组合列表:一个案例研究
摘要本研究将基于语料库的方法和基于直觉的判断相结合,开发了一套用于学术期刊研究出版物的多词组合。为了获得具有代表性的样本,系统地汇编和调查了TCI(泰国引文索引)数据库中120篇应用语言学研究文章的四个内部部分的语料库。为了识别语料库中频繁出现的n-gram,使用了基于语料库的方法。首先,导出了一个包含49个基于内容的字符串的列表,这些字符串可能对教学目的最有用。根据它们的语法和语义关系,进一步研究了3-gram。为了使多词序列在语料库中频繁出现,需要一些有助于教学使用的语用功能。五名EAP教师因此被邀请从已识别的n-gram列表中选择有用的多词组合。最终成功创建了289个短语模式的列表。该列表可以提供额外的基于证据和语料库的教学资源,以支持英语教师规划课程以及材料设计和开发,特别是针对学术写作的高级语言课程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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