AMesure: A Web Platform to Assist the Clear Writing of Administrative Texts

Thomas François, Adeline Müller, Eva Rolin, Magali Norré


Abstract
This article presents the AMesure platform, which aims to assist writers of French administrative texts in simplifying their writing. This platform includes a readability formula specialized for administrative texts and it also uses various natural language processing (NLP) tools to analyze texts and highlight a number of linguistic phenomena considered difficult to read. Finally, based on the difficulties identified, it offers pieces of advice coming from official plain language guides to users. This paper describes the different components of the system and reports an evaluation of these components.
Anthology ID:
2020.aacl-demo.1
Volume:
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations
Month:
December
Year:
2020
Address:
Suzhou, China
Editors:
Derek Wong, Douwe Kiela
Venue:
AACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–7
Language:
URL:
https://aclanthology.org/2020.aacl-demo.1
DOI:
Bibkey:
Cite (ACL):
Thomas François, Adeline Müller, Eva Rolin, and Magali Norré. 2020. AMesure: A Web Platform to Assist the Clear Writing of Administrative Texts. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations, pages 1–7, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
AMesure: A Web Platform to Assist the Clear Writing of Administrative Texts (François et al., AACL 2020)
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PDF:
https://aclanthology.org/2020.aacl-demo.1.pdf