Grammatical Metaphor Constructions: Acquisition Analysis

Arina I. Galeyeva, Galina N. Gumovskaya
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Abstract

This article studies how L2 Russian speaking learners of English for Academic Purposes acquire the skill of grammatical metaphor phrasal inclusion. The study applies corpus methodology (Lancsbox concordance tools) and statistical analysis tools in order to analyse the interdendency between the level of linguistic expertise of learners and their ability to apply certain patterns with grammatical metaphors in academic writing. Additionally, the instances of intermediate realisations (errors) are investigated. The analysed corpus is a subset of the Russian Error-Annotated Learner English Corpus (REALEC) initiated by the National Research University Higher School of Economics. The subcorpus used in this research included opinion essays written by first year Master’s students in elective courses on arguing in English in the span of three years (2016, 2017, 2018). The corpus comprised the total of 112037 words. The results of the current study suggest that three models of grammatical metaphor inclusion into complex nominal phrases present the most prominent challenge for Russian-speaking L2 learners of English for Academic Purposes from the perspective of grammatical complexity and informational density (adjective + nominalisation, nominalisation + -ing clause, nominalisation + -ed clause). From the viewpoint of language accuracy, the model ‘nominalisation + prepositional phrase’ presents the most significant challenge for students.
语法隐喻结构:习得分析
本文研究了二语俄语学术英语学习者如何习得语法隐喻短语包含技巧。本研究运用语料库方法(Lancsbox一致性工具)和统计分析工具来分析学习者的语言专业水平与他们在学术写作中运用某些语法隐喻模式的能力之间的相互关系。此外,还研究了中间实现(错误)的实例。所分析的语料库是国立研究型大学高等经济学院发起的俄语错误标注学习者英语语料库(REALEC)的一个子集。本研究使用的子语料库包括硕士一年级学生在三年(2016年、2017年、2018年)的英语辩论选修课上写的观点文章。该语料库共包含112037个单词。本研究结果表明,从语法复杂性和信息密度的角度来看,三种语法隐喻包含模式(形容词+名词化、名词化+ -ing从句、名词化+ -ed从句)对俄语学术英语二语学习者来说是最突出的挑战。从语言准确性的角度来看,“名词化+介词短语”模式对学生来说是最大的挑战。
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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