Claudia H. Sánchez-Gutiérrez , Sophia Minnillo , Paloma Fernández Mira , Andrea Hernández
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引用次数: 0
摘要
一般的第一语言语料库由各种自然来源(如网站、书籍)的样本组成,而大多数书面学习者语料库(LC)中的语言样本则是根据提示制作的文本。在这种情况下,语料库用户需要清楚地认识到特定提示的能力和局限性,以及对这些提示的反应会如何影响他们对预期研究对象的调查。本文通过对西班牙文 LC(COWS-L2H;Yamada et al.基于这些证据,我们提醒大家不要仅仅根据 LC 写作提示的表面措辞就对文本内容做出快速推断。相反,我们建议 LC 用户在对这些数据运行统计模型之前,对学习者针对每条提示所写的样本进行深入的定量和定性分析。
Prompt response variation in learner corpus research: Implications for data interpretation
While general first language corpora are composed of samples from various naturalistic sources (e.g., websites, books), language samples in most written learner corpora (LC) are texts produced in response to prompts. In this context, LC users need to develop a clear awareness of the affordances and limitations of specific prompts and how responses to said prompts may affect the investigation of their intended object(s) of study. Through an analysis of the presence/absence of specific Spanish verb tenses in texts written in response to two supposedly narrative prompts in a Spanish LC (COWS-L2H; Yamada et al., 2020), this article illustrates the impact of inter- and intra-prompt response variation on LC data interpretation. Based on this evidence, we caution against rapid assumptions about text content based solely on the superficial phrasing of LC writing prompts. Instead, we recommend that LC users perform in-depth quantitative and qualitative analyses of learners’ samples written in response to each prompt they aim to include in their study prior to running statistical models on those data.