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Communication Dans Un Congrès Année : 2020

Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning

Lionel Nicolas
Iztok Kosem
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  • PersonId : 1073797
Jaka Cibej
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Špela Arhar Holdt
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Alice Millour
Christos Rodosthenous
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Anisia Katinskaia
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Résumé

We introduce in this paper a generic approach to combine implicit crowdsourcing and language learning in order to mass-produce language resources (LRs) for any language for which a crowd of language learners can be involved. We present the approach by explaining its core paradigm that consists in pairing specific types of LRs with specific exercises, by detailing both its strengths and challenges, and by discussing how much these challenges have been addressed at present. Accordingly, we also report on ongoing proof-of-concept efforts aiming at developing the first prototypical implementation of the approach in order to correct and extend an LR called ConceptNet based on the input crowdsourced from language learners. We then present an international network called the European Network for Combining Language Learning with Crowdsourcing Techniques (enetCollect) that provides the context to accelerate the implementation of the generic approach. Finally, we exemplify how it can be used in several language learning scenarios to produce a multitude of NLP resources and how it can therefore alleviate the long-standing NLP issue of the lack of LRs.
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hal-02879883 , version 1 (24-06-2020)

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  • HAL Id : hal-02879883 , version 1

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Lionel Nicolas, Verena Lyding, Claudia Borg, Corina Forascu, Karën Fort, et al.. Creating Expert Knowledge by Relying on Language Learners: a Generic Approach for Mass-Producing Language Resources by Combining Implicit Crowdsourcing and Language Learning. LREC 2020 - Language Resources and Evaluation Conference, May 2020, Marseille, France. ⟨hal-02879883⟩
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