v-trel: Vocabulary Trainer for Tracing Word Relations - An Implicit Crowdsourcing Approach
Ul Hassan U
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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 ConceptNet 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.
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Lyding V; Rodosthenous C; Sangati F; Ul Hassan U; Nicolas L; König A; Horbacauskiene J; Katinskaia A (2019)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. ...
Lyding V; König A; Nicolas L; Nikos I; Katinskaia A; Matheou G; Rodosthenous C; Sangati F; Ul Hassan U; Horbacauskiene J (2019)Presentation at the 3rd Annual Action Meeting of enetCollect ; Lisbon ; 14.3.2019 - 15.3.2019
Introducing the European NETwork for COmbining Language LEarning and Crowdsourcing Techniques (enetCollect) Lyding V; Nicolas L; Bédi B; Fort K (Research-publishing.net, 2018)We present enetCollect, a large European network project funded as a COST Action that sets ground for combining crowdsourcing with IT technologies used in areas such as language learning and Natural Language Processing ...