This paper adopts a construction grammar approach to test the efficiency of data-driven learning (DDL) when applied to constructions. High-intermediate learners of English as a foreign language took part in an experiment consisting, for each construction, in (i) a pre-test, in which the learners had to produce as many sentences as possible illustrating the constructions, (ii) a DDL intervention, which involved various concordance-based activities, and (iii) several post-tests, similar to the pre-test, performed at regular intervals. The analysis looks at the number of (valid and invalid) constructions produced as well as the native-like nature of these constructions, as established through a comparison with native corpus data. The analysis also examines the evolution of these results over the different post-tests. Finally, it considers learners’ attitudes towards the DDL interventions, as evaluated through a questionnaire.

中文翻译：

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使用语料库促进 L2 构建学习：数据驱动的学习实验

本文采用构造语法方法来测试数据驱动学习（DDL）应用于构造时的效率。将英语作为外语的中高级学习者参加了一项实验，该实验包括，对于每个结构，在 (i) 预测试中，学习者必须产生尽可能多的句子来说明这些结构，(ii) DDL 干预，涉及各种基于一致性的活动，以及 (iii) 与前测类似的若干后测，定期执行。该分析着眼于生成的（有效和无效）构造的数量以及这些构造的类本地性质，这是通过与本地语料库数据进行比较而确定的。该分析还检查了这些结果在不同后测试中的演变。最后，