Towards crowdsourcing and cooperation in linguistic resources
This work is incremental, offering recommendations to improve crowdsourcing for linguistic annotation by incorporating cooperation from video games.
The paper addresses the lack of cooperation in current crowdsourcing taxonomies for linguistic resources, proposing its integration to enhance annotator engagement, and demonstrates its effectiveness using a Russian linguistic resource as an example.
Linguistic resources can be populated with data through the use of such approaches as crowdsourcing and gamification when motivated people are involved. However, current crowdsourcing genre taxonomies lack the concept of cooperation, which is the principal element of modern video games and may potentially drive the annotators' interest. This survey on crowdsourcing taxonomies and cooperation in linguistic resources provides recommendations on using cooperation in existent genres of crowdsourcing and an evidence of the efficiency of cooperation using a popular Russian linguistic resource created through crowdsourcing as an example.