质疑学术写作中的言外之力指示手段

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2022-07-18 DOI:10.1075/ijcl.20065.cur
Niall Curry
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引用次数: 1

摘要

语料库对学术写作中作为读者参与标记的问题的研究通常侧重于直接问题。这样的问题由问号表示,并且在语料库中相对容易搜索。然而,间接问题可能更难识别,因为它们可以通过一系列形式引入。基于对英语、法语和西班牙语经济学研究文章语料库的对比分析,本文提供了直接和间接问题作为读者参与标记的相关证据。首先,它表明,作为读者参与标记的直接和间接问题是经济学研究文章学术写作的一个修辞和一般特征;其次,它提供了一个全面的间接问题话语外力量指示手段列表,对未来的间接问题研究有价值。在方法论上,本文阐述了一个可复制的功能分析过程,并讨论了将语料库和对比语言学方法相结合的理论价值。
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Question illocutionary force indicating devices in academic writing
Corpus research on questions as reader engagement markers in academic writing typically focuses on direct questions. Such questions are signalled by question marks and are relatively easily searchable in a corpus. However, indirect questions can be more challenging to identify, as they can be introduced by a range of forms. Based on a contrastive analysis of a corpus of English, French, and Spanish economics research articles, this paper provides pertinent evidence on direct and indirect questions as reader engagement markers. Firstly, it shows that direct and indirect questions as reader engagement markers are a rhetorical and generic feature of academic writing in the economics research article and, secondly, it presents a comprehensive list of indirect question illocutionary force indicating devices, valuable for future studies of indirect questions. Methodologically, this paper illustrates a replicable process for functional analysis and discusses the value of theoretically merging corpus and contrastive linguistic approaches.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
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