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

Visa fullständig post



Permalänk

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

Citation

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

Titel: v-trel: Vocabulary Trainer for Tracing Word Relations : An Implicit Crowdsourcing Approach
Författare: Lyding, Verena; Rodosthenous, Christos; Sangati, Federico; Ul Hassan, Umair; Nicolas, Lionel; König, Alexander; Horbacauskiene, Jolita; Katinskaia, Anisia
Medarbetare: Angelova, Galia
Mitkov, Ruslan
Nikolova, Ivelina
Temnikova, Irina
Upphovmannens organisation: Department of Digital Humanities
Department of Computer Science
Utgivare: INCOMA
Datum: 2019-09
Språk: eng
Sidantal: 10
Tillhör serie: RANLP 2019 - Natural Language Processing a Deep Learning World
ISBN: 978-954-452-055-7
978-954-452-056-4
DOI: https://doi.org/10.26615/978-954-452-056-4_079
Permanenta länken (URI): http://hdl.handle.net/10138/309834
Abstrakt: 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
Referentgranskad: Ja
Användningsbegränsning: openAccess
Parallelpublicerad version: publishedVersion


Filer under denna titel

Totalt antal nerladdningar: Laddar...

Filer Storlek Format Granska
v_trel.pdf 890.5Kb PDF Granska/Öppna

Detta dokument registreras i samling:

Visa fullständig post