CADS的协调

IF 1.6 2区 文学 0 LANGUAGE & LINGUISTICS
Mathew Gillings, Gerlinde Mautner
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引用次数: 1

摘要

一致性分析被广泛认为是语料库语言学家工具包中的主要技术之一。然而,尽管越来越多的工作批判性地探索了语料库方法以前毋庸置疑的主流(Mautner,2015;Taylor和Marchi,2018),但这并没有特别关注一致性分析。在本文中,我们的目的是讨论研究人员在解释一致性时可能遇到的问题。我们从第一步开始,粗略检查800条一致性线,以确定潜在的问题。在第二步中,我们在减少的200个样本中评估这些问题的分布。因此,我们确定了八个可解释性问题:语料库中的噪音、不标准的语法、不清楚的指称表达、不清楚引用源归因、技术术语/行话、缩写词/首字母缩写、不具体的共文本以及与研究问题无关的行数。在反思了实际挑战后,我们讨论了不加批判地消除一致性界限的认识论含义,并为未来的工作提出了十条建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Concordancing for CADS
Concordance analysis is widely recognised as one of the main techniques in a corpus linguist’s toolkit. However, despite a growing body of work critically exploring previously unquestioned mainstays of corpus methods (Mautner, 2015; Taylor & Marchi, 2018), this has not focused on concordance analysis specifically. In this paper, we aim to discuss issues that researchers may encounter when interpreting concordances. We begin in Step One with a cursory examination of 800 concordance lines in order to identify potential issues. In Step Two, we assess the distribution of those issues in a reduced sample of 200. As a result, we identify eight interpretability issues: noise in the corpus, non-standard syntax, unclear referring expressions, unclear quotation source attribution, technical terms/jargon, acronyms/initialisms, unspecific co-text, and lines unrelated to the research question. After reflecting on practical challenges, we discuss the epistemological implications of removing concordance lines uncritically and suggest ten recommendations for future work.
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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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