v-trel: Vocabulary Trainer for Tracing Word Relations : An Implicit Crowdsourcing Approach

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http://hdl.handle.net/10138/309834

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Lyding , V , Rodosthenous , C , Sangati , F , Ul Hassan , U , Nicolas , L , König , A , Horbacauskiene , J & Katinskaia , A 2019 , v-trel: Vocabulary Trainer for Tracing Word Relations : An Implicit Crowdsourcing Approach . in G Angelova , R Mitkov , I Nikolova & I Temnikova (eds) , RANLP 2019 - Natural Language Processing a Deep Learning World : Proceedings . INCOMA , Shoumen , pp. 675-684 , Recent Advances in Natural Language Processing , Varna , Bulgaria , 02/09/2019 . https://doi.org/10.26615/978-954-452-056-4_079

Title: v-trel: Vocabulary Trainer for Tracing Word Relations : An Implicit Crowdsourcing Approach
Author: Lyding, Verena; Rodosthenous, Christos; Sangati, Federico; Ul Hassan, Umair; Nicolas, Lionel; König, Alexander; Horbacauskiene, Jolita; Katinskaia, Anisia
Editor: Angelova, Galia; Mitkov, Ruslan; Nikolova, Ivelina; Temnikova, Irina
Contributor: University of Helsinki, Department of Digital Humanities
Publisher: INCOMA
Date: 2019-09
Language: eng
Number of pages: 10
Belongs to series: RANLP 2019 - Natural Language Processing a Deep Learning World Proceedings
ISBN: 978-954-452-055-7
978-954-452-056-4
URI: http://hdl.handle.net/10138/309834
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.
Subject: 113 Computer and information sciences
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