“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:
- 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)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/W18-4923.pdf