enetCollect - Large-Scale Information Extraction and Gamification for Crowdsourced Language Learning

Czech title:enetCollect - Rozsáhlá extrakce informací a využití herních principů (gamifikace) pro osvojování nových jazyků na základě „moudrosti davů" (crowdsourcingu)
Research leader:Smrž Pavel
Team leaders:Zemčík Pavel
Team members:Hradiš Michal, Otrusina Lubomír, Škoda Petr
Agency:COST, European Cooperation in Science and Technology - European Cooperation in Science and Technology (COST)
Code:CA 16105
Keywords:extraction, gamification, crowdsourced language learning
The project aims at contributing to the activities of COST Action CA 16105 - enetCollect - in the areas related to large-scale information extraction from the web and gamification of the preparation and the annotation of multimedia content suitable for various language learning activities. We will explore advanced methods for web-scale crawling and semantic enrichment of the collected material as well as modern human-computer interaction technologies engaging users in the process of acquisition of languages in the form of a game.

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