WG2 – R&I on Implicit Crowdsourcing for
Language Learning material production
WG2 aims at developing or adapting implicit crowdsourcing approaches for producing language learning materials and language-related data. An overview of existing materials and workflows for their creation will be devised. Existing implicit crowdsourcing approaches will also be reviewed and strategies to adapt them or develop new approaches will then be researched. For example, this WG will research ways to generate exercise content from language resources (e.g. lexica) and to crowdsource manual validation of automatically generated new entries (e.g neologisms) by cross-matching the learners’ answers regarding exercise content generated from such new entries.
Leader: Lionel Nicolas (mail)
Vice-Leader: Claudia Borg (mail)
WG2 was also previously led by Rodrigo Agerri as Leader, Simon Krek as vice-Leader and Yaakov HaCohen-Kerner as vice-Leader.
Work plan & deliverables
Task 2.2: Review of implicit crowdsourcing approaches (Month 1-12)
Literature reviews of implicit crowdsourcing approaches
D.2.2 – Summary report on implicit crowdsourcing approaches
Task 2.3: Research on producing learning material through implicit crowdsourcing (Month 6-24)
Development and adaptation of approaches; description of a theoretical framework;
D.2.3 – Theoretical framework for producing material through implicit crowdsourcing
Task 2.4: Design, implementation, and testing of prototypes (Month 18-45)
Design, implementation, and evaluation of prototypes
D.2.4 – Design plans, implemented prototypes and related evaluation reports