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

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


Abstract
This 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.
Anthology ID:
W18-4923
Volume:
Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
Month:
August
Year:
2018
Address:
Santa Fe, New Mexico, USA
Venue:
LAW
SIGs:
SIGLEX | SIGANN
Publisher:
Association for Computational Linguistics
Note:
Pages:
207–213
Language:
URL:
https://aclanthology.org/W18-4923
DOI:
Bibkey:
Cite (ACL):
Karën Fort, Bruno Guillaume, Matthieu Constant, Nicolas Lefèbvre, and Yann-Alan Pilatte. 2018. “Fingers in the Nose”: Evaluating Speakers’ Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform. In Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018), pages 207–213, Santa Fe, New Mexico, USA. Association for Computational Linguistics.
Cite (Informal):
“Fingers in the Nose”: Evaluating Speakers’ Identification of Multi-Word Expressions Using a Slightly Gamified Crowdsourcing Platform (Fort et al., LAW 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-4923.pdf