Lyding, Verena and T. Rodosthenous, Christos and Sangati, Federico and ul Hassan, Umair and Nicolas, Lionel and König, Alexander and Horbacauskiene, Jolita and Katinskaia, Anisia (2019) v-trel: Vocabulary Trainer for TracingWord Relations - An Implicit Crowdsourcing Approach. In: RANLP 2019, International Conference on Recent Advances in Natural Language Processing, September 2019, Varna, Bulgaria.

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Abstract

In this paper, we present our work on developing 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. We performed an empirical evaluation of our approach with 60 non-native speakers over two days, which shows that new entries to expand Concept-Net can efficiently be gathered through vocabulary exercises on word relations. We also report on the feedback gathered from the users and an expert from language teaching, and discuss the potential of the vocabulary trainer application from the user and language learner perspective. The feedback suggests that v-trel has educational potential, while in its current state some shortcomings could be identified.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	v-trel; Vocabulary Trainer; Tracing Word Relations; Implicit; Crowdsourcing; Approach;
Academic Unit:	Faculty of Social Sciences > School of Business
Item ID:	16008
Identification Number:	https://doi.org/10.26615/978-954-452-056-4_079
Depositing User:	Souleiman Hasan
Date Deposited:	25 May 2022 11:53
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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