MaTOS: Machine Translation for Open Science
Overview & Synopsis
This paper is a short presentation of MaTOS (Machine Translation for Open Science), a project focusing on the automatic translation of scholarly documents. Its main aims are (a) to develop resources (term lists and corpora) for high-quality machine translation, (b) to study methods for translating complete, structured documents in a cohesive and consistent manner, (c) to propose novel metrics to evaluate machine translation in technical domains. Publications and resources are available on the project web site: https://anr-matos.fr.
Indexed from repository: HAL Open Science
(
hal.science)
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Document Information
| Document Title | MaTOS: Machine Translation for Open Science |
|---|---|
| Author / Organization | Rachel Bawden, Maud Bénard, Eric Villemonte de La Clergerie, José Cornejo Cárcamo, Nicolas Dahan, Manon Delorme, Mathilde Huguin, Natalie Kübler, Paul Lerner, Alexandra Mestivier, Joachim Minder, Jean-François Nominé, Ziqian Peng, Laurent Romary, Panagiotis Tsolakis, Lichao Zhu, François Yvon |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2025 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-207308 |
| Original Source Link | Visit Source Page on hal.science » |