Data-driven learning for languages other than English: the cases of French, German, Italian, and Spanish

Reka R. Jablonkai, Luciana Forti, Magdalena Abad Castelló, Isabelle Salengros Iguenane, Eva Schaeffer-Lacroix, Nina Vyatkina
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Abstract

This paper summarises the contributions to EuroCALL’s CorpusCALL SIG Symposium for the year 2020. In line with this year’s EuroCALL conference theme, ‘CALL for widening participation’, the Symposium centred around the theme of Data-driven learning for languages other than English. This paper gives a brief overview of developments and challenges when using Data-Driven Learning (DDL) to teach French, German, Italian, and Spanish. As research suggests, a DDL approach has been effectively utilised to teach these languages. However, there are differences in available DDL resources and corpora for the respective languages that are appropriate for language teaching. The main challenges for future developments are also discussed.
非英语语言的数据驱动学习:法语、德语、意大利语和西班牙语
本文总结了2020年EuroCALL语料库SIG研讨会的贡献。为配合今年EuroCALL会议的主题“呼吁扩大参与”,研讨会的主题是“以数据为导向的非英语语言学习”。本文简要概述了使用数据驱动学习(DDL)教授法语、德语、意大利语和西班牙语时的发展和挑战。研究表明,DDL方法已被有效地用于教授这些语言。然而,适用于语言教学的不同语言的可用DDL资源和语料库存在差异。还讨论了未来发展的主要挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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