Project Details
enetCollect - Large-Scale Information Extraction and Gamification for Crowdsourced Language Learning
Project Period: 1. 9. 2017 - 6. 3. 2021
Project Type: grant
Code: CA 16105
Agency: COST, European Cooperation in Science and Technology
Program: European Cooperation in Science and Technology (COST)
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.
Zemčík Pavel, prof. Dr. Ing. (UPGM FIT VUT) , team leader
Hradiš Michal, Ing., Ph.D. (UPGM FIT VUT)
Otrusina Lubomír, Ing. (UPGM FIT VUT)
Škoda Petr, RNDr. (UPGM FIT VUT)