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Combining Language Learning with Crowdsourcing Techniques (D4COLLECT)

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The DARIAH Working Group Combining Language Learning with Crowdsourcing Techniques (D4COLLECT) is aimed at exploring research and innovation trends in the use of crowdsourcing techniques in the domain of language learning, while at the same time opening paths to crowdsource NLP datasets from language learning activities. This means that on the production side, R&I players who are working on language-related topics and have laborious and complex tasks that can be approached by crowdsourcing are prospective members of D4COLLECT no matter if they are directly interested in language learning or rather in the crowdsourcing workforce it can unleash through its learners and teachers.

D4COLLECT is meant to sustain and move forward the outcomes of the COST Action enetCollect, which was funded from 2017-2021, and to serve as a flexible and dynamic bottom-up institutional framework for knowledge exchange, research coordination and capacity building beyond the end of the COST Action.

D4COLLECT aims to bring together language teachers and experts in linguistics, computational linguistics, educational sciences, software engineering and digital humanities to explore digital workflows, tools, and solutions for deploying implicit and explicit crowdsourcing methods in the creation of language-learning materials and the collection of language datasets.

 

Contacts

  • Lionel Nicolas

    Senior Researcher, Institute for Applied Linguistics of Eurac Research

    Lionel Nicolas is a senior researcher of the Institute for Applied Linguistics of Eurac Research...

    Lionel Nicolas is a senior researcher of the Institute for Applied Linguistics of Eurac Research in Bolzano, Italy. He completed a PhD in Natural Language Processing (NLP) in 2010 at the University of Nice Sophia Antipolis, France.  His research focuses predominantly on NLP but also on Crowdsourcing, Computer-assisted Language Learning and Learner corpora.  More specifically, his research has focused (among other things) on practical guidelines for saving efforts when creating or improving NLP resources, on the automatized transfer of linguistic knowledge between two closely related languages, on the automatized creation and extension of NLP resources and on the combination of language learning and crowdsourcing for the purpose of creating NLP resources. In 2017, his efforts regarding the combination of language learning and crowdsourcing allowed to fund a large European network project, called the European Network For Combining Language Learning with Crowdsourcing Techniques (enetCollect), that allowed to create a new R&I community involving numerous NLP and other language-related stakeholders and in which he's been playing a central role since the project and the community were started. Since then, his efforts focuses on a specific implicit crowdsourcing paradigm that pairs language learning exercises with NLP resources in order to generate exercise content from the linguistic resources while using the aggregated answers to these exercises to improve the NLP resources used to generate the exercise content.  During his career, he also has been involved in the development of methods and tools related to learner corpora and digital infrastructures.

    See more See less lionel.nicolas@eurac.edu
  • Verena Lyding

    Post-doc researcher, Institute for Applied Linguistics at Eurac Research

    Verena Lyding is a computational linguist and post-doc researcher at the Institute for Applied Linguistics...

    Verena Lyding is a computational linguist and post-doc researcher at the Institute for Applied Linguistics at Eurac Research in Bolzano, Italy. Her research interest is centered around the application of computational means to support human-driven empirically based research, analysis and data curation processes. She has concluded her PhD on user-centered needs around corpus analysis tools and has worked with the visualization of linguistic data for several years. More recently, her research focus has shifted towards Crowdsourcing and Citizen Science approaches, both for the creation of NLP resources and for supporting data processing and user involvement in the Digital Humanities. For the past four years, she has been (co-)leading the COST Action European Network for Combining Language Learning with Crowdsourcing Techniques (enetCollect) whose efforts are meant to be continued within the D4COLLECT DARIAH Working Group.

    See more See less Verena.Lyding@eurac.edu

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