Writing scientific articles with the support of key lexical bundles: a corpus-driven study in the area of health sciences

ABSTRACT English is the lingua franca in academic settings. Publishing in this language enhances the spread of scientific knowledge and citations. Hence, we intend to contribute to increase the impact of Brazilian scientific production by proposing pedagogical resources based on linguistic patterns obtained with a corpus-driven approach. Through an empirical analysis of a corpus of academic articles published in indexed journals, and using Corpus Linguistics principles, we aim to identify key lexical bundles from the introduction section of articles in the area of health sciences, classify these bundles according to their communicative function and suggest pedagogical applications for the collected data aimed at writing academic articles. The data, collected with a textual analysis tool (Sketch Engine), show that (i) key lexical bundles concentrate in certain movements and steps of the section under study; and (ii) units can be grouped according to the communicative functions identified in the same step and, hence, a lexical frame is built to be used in the construction of pedagogical resources.

摘要：英语作为学术领域的通用语，其出版能够有效促进科学知识的传播与引用。鉴于此，本研究旨在通过提出基于语料库驱动方法获得的语用模式的教学资源，以提升巴西科学研究成果的影响力。通过对收录于索引期刊的学术论文语料库进行实证分析，并运用语料库语言学原理，本研究旨在识别健康科学领域学术论文引言部分的关键词汇组，按照其交际功能对这些词汇组进行分类，并针对收集到的数据提出教学应用建议。使用文本分析工具（Sketch Engine）收集的数据表明：(i) 关键词汇组集中在所研究章节的特定阶段和步骤中；(ii) 可以根据在相同步骤中识别的交际功能将单元进行分组，从而构建一个用于构建教学资源的词汇框架。