学习者语料库研究:批判性评估和路线图,为语言学习服务(SLA)研究议程做出(更多)贡献

IF 1 2区 文学 0 LANGUAGE & LINGUISTICS
Magali Paquot
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引用次数: 0

摘要

在过去的十年中,学习者语料库作为第二语言习得(SLA)研究中的宝贵数据源已得到认可。这一发展可归功于学习者语料库研究(LCR)的重大进展。然而,仍有大量工作要做。本文强调了保持学习者语料库在 SLA 中的相关性所必须解决的关键问题。尤其是,我着重强调了对更多样化的学习者语料库的需求,强调了详细元数据的重要性,并提倡多因素研究设计。然后,我重温了目前关于母语使用者在 LCR 中的作用的争论,并提出了解决这一棘手问题的切实可行的方案。最后,我还重新讨论了改进定量方法和统计的必要性,并认为强有力的定量分析的重要性怎么强调都不为过。总之,我设想了一个雄心勃勃的学习者语料库编纂项目,该项目将遵循 FAIR 原则,目标是进一步提高 LCR 的研究质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Learner corpus research: a critical appraisal and roadmap for contributing (more) to SLA research agendas
Over the past decade, learner corpora have gained recognition as valuable data sources in Second Language Acquisition (SLA) research. This development can be attributed to significant progress in Learner Corpus Research (LCR). However, there is still substantial work to be done. This article highlights key issues essential for sustaining the relevance of learner corpora in SLA. More particularly, I focus on the need for more diverse types of learner corpora, stress the importance of detailed metadata, and advocate for multifactorial study designs. I then revisit ongoing debates regarding the role of the native speaker in LCR and propose a practical solution to address this thorny issue. Finally, I also readdress the need for improvement in the quantitative methods and statistics, arguing that the importance of robust quantitative analysis cannot be overstated. In conclusion, I envision an ambitious learner corpus compilation project that adheres to the FAIR principles, with the goal of further elevating study quality in LCR.
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来源期刊
CiteScore
4.20
自引率
12.50%
发文量
15
期刊介绍: Corpus Linguistics and Linguistic Theory (CLLT) is a peer-reviewed journal publishing high-quality original corpus-based research focusing on theoretically relevant issues in all core areas of linguistic research, or other recognized topic areas. It provides a forum for researchers from different theoretical backgrounds and different areas of interest that share a commitment to the systematic and exhaustive analysis of naturally occurring language. Contributions from all theoretical frameworks are welcome but they should be addressed at a general audience and thus be explicit about their assumptions and discovery procedures and provide sufficient theoretical background to be accessible to researchers from different frameworks. Topics Corpus Linguistics Quantitative Linguistics Phonology Morphology Semantics Syntax Pragmatics.
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