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2018 COLING COLING 2018

“Fingers in the Nose”: Evaluating Speakers’ Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform

Abstract

AbstractThis article presents the results we obtained in crowdsourcing French speakers’ intuition concerning multi-work expressions (MWEs). We developed a slightly gamified crowdsourcing platform, part of which is designed to test users’ ability to identify MWEs with no prior training. The participants perform relatively well at the task, with a recall reaching 65% for MWEs that do not behave as function words.

Authors

Karën Fort, Bruno Guillaume, Matthieu Constant, Nicolas Lefebvre, Yann-Alan Pilatte

Topics

Data Science & Analytics > Methods > Data Mining

Keywords

linguistic annotation french language multiword expression identification gamified crowdsourcing speaker intuition
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