Designing a Prototype Architecture for Crowdsourcing Language Resources
Published in Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
We present an architecture for crowdsourcing language resources from language learners and a prototype implementation of it as a vocabulary trainer. The vocabulary trainer relies on lexical resources from the ConceptNet semantic network to generate exercises while using the learners' answers to improve the resources used for the exercise generation.
Cite this work: Christos Rodosthenous, Verena Lyding, Alexander {König}, Jolita Horbacauskiene, Anisia Katinskaia, Umair Hassan, Nicos Isaak, Federico Sangati, Lionel Nicolas, "Designing a Prototype Architecture for Crowdsourcing Language Resources." Proceedings of the Poster Session of the 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019.
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