Introducing the European NETwork for COmbining Language LEarning and Crowdsourcing Techniques (enetCollect)

V. Lyding, Lionel Nicolas, Branislav Bédi, Karën Fort
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引用次数: 11

Abstract

We present enetCollect, a large European network project funded as a COST Action, that sets ground for combining crowdsourcing with IT technologies used in areas such as language learning and Natural Language Processing (NLP). This project tackles a major challenge of bringing together interdisciplinary researchers to foster language learning of all European citizens from diverse socio-demographic, cultural, educational and linguistic backgrounds. It aims at unlocking a crowdsourcing potential available for all languages, including less widely spoken languages, in order to create language resources and achieve a coverage of material for teaching the languages. It will meet its research and capacity-building goals by creating an international community of researchers that will work on producing a comprehensive theoretical framework and running prototypical experiments to benefit a wide range of users and languages, while considering ethical, legal and business issues. This article informs about its objectives, expected impact and strategic organisation that contribute to reaching its flexible and sustainable success goals.
介绍欧洲语言学习和众包技术结合网络(enetCollect)
我们介绍enetCollect,这是一个由成本行动资助的大型欧洲网络项目,它为将众包与语言学习和自然语言处理(NLP)等领域使用的IT技术相结合奠定了基础。该项目解决了一个重大挑战,即汇集跨学科研究人员,促进来自不同社会人口、文化、教育和语言背景的所有欧洲公民的语言学习。它旨在释放所有语言(包括不太广泛使用的语言)的众包潜力,以创建语言资源并实现语言教学材料的覆盖。它将通过创建一个由研究人员组成的国际社区来实现其研究和能力建设目标,该社区将致力于产生一个全面的理论框架并运行原型实验,以使广泛的用户和语言受益,同时考虑伦理、法律和商业问题。本文介绍了其目标、预期影响和有助于实现其灵活和可持续成功目标的战略组织。
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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