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

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

Lähdeviite

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

Julkaisun nimi: v-trel: Vocabulary Trainer for Tracing Word Relations : An Implicit Crowdsourcing Approach
Tekijä: Lyding, Verena; Rodosthenous, Christos; Sangati, Federico; Ul Hassan, Umair; Nicolas, Lionel; König, Alexander; Horbacauskiene, Jolita; Katinskaia, Anisia
Muu tekijä: Angelova, Galia
Mitkov, Ruslan
Nikolova, Ivelina
Temnikova, Irina
Tekijän organisaatio: Department of Digital Humanities
Department of Computer Science
Julkaisija: INCOMA
Päiväys: 2019-09
Kieli: eng
Sivumäärä: 10
Kuuluu julkaisusarjaan: RANLP 2019 - Natural Language Processing a Deep Learning World
ISBN: 978-954-452-055-7
978-954-452-056-4
DOI-tunniste: https://doi.org/10.26615/978-954-452-056-4_079
URI: http://hdl.handle.net/10138/309834
Tiivistelmä: 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.
Avainsanat: 113 Computer and information sciences
Vertaisarvioitu: Kyllä
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: publishedVersion


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