| Title |
Using crowdsourced exercises for vocabulary training to expand conceptnet / |
| Authors |
Rodosthenous, Christos ; Lyding, Verena ; Sangati, Federico ; König, Alexander ; ul Hassan, Umair ; Nicolas, Lionel ; Horbačauskienė, Jolita ; Katinskaia, Anisia ; Aparaschivei, Lavinia |
| ISBN |
9791095546344 |
| Full Text |
|
| Is Part of |
Proceedings of the 12th conference on language resources and evaluation (LREC 2020), 11-16 May, 2020, Marseille, France: conference proceedings / editor: N. Calzolari (conference chair).. Paris : European language resources association (ELRA), 2020. p. 307-316.. ISBN 9791095546344 |
| Keywords [eng] |
vocabulary trainer ; commonsense knowledge ; language learning |
| Abstract [eng] |
In this work, we report on a crowdsourcing experiment conducted using the V-TREL vocabulary trainer which is accessed via a Telegram chatbot interface to gather knowledge on word relations suitable for expanding ConceptNet. V-TREL is built on top of a generic architecture implementing the implicit crowdsourding paradigm in order to offer vocabulary training exercises generated from the commonsense knowledge-base ConceptNet and – in the background – to collect and evaluate the learners’ answers to extend ConceptNet with new words. In the experiment about 90 university students learning English at C1 level, based on the Common European Framework of Reference for Languages (CEFR), trained their vocabulary with V-TREL over a period of 16 calendar days. The experiment allowed to gather more than 12,000 answers from learners on different question types. In this paper, we present in detail the experimental setup and the outcome of the experiment, which indicates the potential of our approach for both crowdsourcing data as well as fostering vocabulary skills. |
| Published |
Paris : European language resources association (ELRA), 2020 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2020 |
| CC license |
|
