文章基本信息

标题：Candidate sentence selection for language learning exercises : from a comprehensive framework to an empirical evaluation
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作者：Ildikó Pilán ; Elena Volodina Lars Borin
期刊名称：Traitement Automatique des Langues
印刷版ISSN：1248-9433
电子版ISSN：1965-0906
出版年度：2016
卷号：57
期号：3
页码：1-25
语种：French
出版社：ATALA - Assoc Traitement Automatique Langues
其他摘要：We present a framework and its implementation relying on Natural Language Processing methods, which aims at the identification of exercise item candidates from corpora. The hybrid system combining heuristics and machine learning methods includes a number of relevant selection criteria. We focus on two fundamental aspects : linguistic complexity and the dependence of the extracted sentences on their original context. Previous work on exercise generation addressed these two criteria only to a limited extent, and a refined overall candidate sentence selection framework appears also to be lacking. In addition to a detailed description of the system, we present the results of an empirical evaluation conducted with language teachers and learners which indicate the usefulness of the system for educational purposes. We have integrated our system into a freely available online learning platform.