The Predict4All open-source word prediction and word correction engine in French language: a feasibility study
Our study has shed light on the potential of the Predict4All engine with successful results, as the system performed effectively without technical or methodological obstacles. Furthermore, the engine has been adopted in clinical practice at both centers by both healthcare professionals and users.
Authors
- Emmanuelle López
- Marion Crochetet
- Samuel Pouplin (ORCID: https://orcid.org/0000-0003-2036-3063)
- Willy Allègre (ORCID: https://orcid.org/0009-0003-0110-8750)
- Céline Arbizu
- Jean-Yves Antoine (ORCID: https://orcid.org/0000-0002-6028-1663)
- Mathieu Thebaud (ORCID: https://orcid.org/0009-0007-9663-433X)
- Isabelle Bossard
- Véronique Tsimba
Institutions
- Université de Tours (FR)
- Inserm (FR)
- Université de Bretagne Occidentale (FR)
- Université de Versailles Saint-Quentin-en-Yvelines (FR)
- Université Paris-Saclay (FR)
- Université de Bretagne Sud (FR)
- Rehabilitation Research and Development Service (US)
- Assistance Publique – Hôpitaux de Paris (FR)
- Laboratoire des Sciences et Techniques de l’Information de la Communication et de la Connaissance (FR)
- Hôpital Raymond-Poincaré (FR)
- Laboratoire d'Informatique Fondamentale et Appliquée de Tours (FR)
- Hip Innovation Technology (United States) (US)
- Plateforme Technologique d'Innovation Biomédicale (FR)
Publication Details
- Journal
- Disability and Rehabilitation Assistive Technology
- Published
- 2024-12-24
- DOI
- https://doi.org/10.1080/17483107.2024.2445009
- Citations
- 1
- Primary Topic
- Gaze Tracking and Assistive Technology
- Type
- article
- Field-Weighted Citation Impact
- 0.37