Prototypes
This page provides the list of known prototypes that are being developed in the context of enetCollect.
v-trel: the implicit crowdsourcing vocabulary trainer.
V-trel is a vocabulary trainer that uses exercises generated from language resources such as ConceptNet and crowdsources the responses of the learners to enrich the language resource. So far, we performed an empirical evaluation of our approach with 60 non-native speakers over two days, which shows that new entries to expand ConceptNet can efficiently be gathered through vocabulary exercises on word relations.
External links to the project
Gitlab repository
Related publications
Lyding, V., Rodosthenous, C. T., Sangati, F., ul Hassan, U., Nicolas, L., König, A., … Katinskaia, A. (2019). v-trel: Vocabulary Trainer for Tracing Word Relations - An Implicit Crowdsourcing Approach. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2019. Varna, Bulgaria. Retrieved from http://lml.bas.bg/ranlp2019/proceedings-ranlp-2019.pdf
Rodosthenous, C., Lyding, V., König, A., Horbacauskiene, J., Katinskaia, A., ul Hassan, U., … Nicolas, L. (2019). Designing a Prototype Architecture for Crowdsourcing Language Resources. In Poster Session of the 2nd Conference on Language, Data and Knowledge 2019. Retrieved from http://ceur-ws.org/Vol-2402/paper4.pdf
Contact persons in enetCollect: Verena Lyding and Christos Rodosthenous