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Data-driven analysis of the development of linguistic features in research articles on optics

机译:光学研究文章中语言特征发展的数据驱动分析

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Researchers must constantly produce academic publications to promote their contributions and findings. The Research Article (RA) genre consists of sub-genres based on the typical IMRAD (Introduction, Method, Result and Discussion) structure that is commonly used for research in science and engineering. Researchers still find difficulties in learning systematically how to write RAs during university education. Although essential for teaching, learning, and applications, the genre-based analysis of the RA genre is still considered to be difficult and complex. In order to assist EST students and researchers in building the structure of their RA and communicating ideas with appropriate linguistic expressions, and as part of a longitudinal research, this study focuses on the analysis of RAs based on rhetorical moves and the comparison with other RAs on the same domain of expertise. This study analyzed 1,384 articles from the Journal of Optics between 2002 and 2004 using an originally developed corpus tool, ULC (Universal Learning Concordancer). Word lists, n-grams, clusters, and words in context are going to be displayed among others. Results are discussed in comparison with previous stages of this longitudinal study.
机译:研究人员必须不断生产学术出版物,以促进其贡献和调查结果。研究文章(RA)流派由基于典型的IMRAD(介绍,方法,结果和讨论)结构的子类型组成,这些结构通常用于科学和工程研究。研究人员仍然发现在大学教育中系统地学习如何写RAS困难。虽然对教学,学习和应用是必不可少的,但对RA流派的基于类型的分析仍被认为是困难和复杂的。为了协助勘探学生和研究人员建立他们的RA和通过适当的语言表达式的沟通思想,并且作为纵向研究的一部分,专注于基于修辞运动的RA分析,与其他RAS相比相同的专业领域。本研究分析了2002年至2004年在2002年至2004年期刊的1,384篇文章中,使用了最初开发的语料库工具,ULC(普遍学习协调官)。 Word列表,n-克,群集和上下文中的单词将在其他情况下显示。结果与该纵向研究的先前阶段相比讨论。

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