Post-editing Machine Translation in MateCat: a classroom experiment
[EN] Advances in machine translation resulted in an increase of both volume and quality of machine-translated texts. However, machine translation still requires humans to post-edit the translation. This paper proposes a product-based approach of a post-editing (PE) experiment that was carried out wi...
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/172666 |
| Acceso en línea: | https://riunet.upv.es/handle/10251/172666 |
| Access Level: | acceso abierto |
| Palabra clave: | Higher Education Learning Educational systems Teaching Machine translation Post-editing MateCat Translation technology classes |
| Sumario: | [EN] Advances in machine translation resulted in an increase of both volume and quality of machine-translated texts. However, machine translation still requires humans to post-edit the translation. This paper proposes a product-based approach of a post-editing (PE) experiment that was carried out with a total of 10 MA translation students. The goal of this study comprised both the analysis of the post-editing results performed by student translators involving a machine-translated text in MateCat and the subsequent error markup. By comparing the quality reports obtained at the end of the post-editing process, we analysed the linguistic quality results and observed a heterogeneous error distribution, considerable divergence in severity level ratings and a huge span of TTE (time to edit). This study aims at making a contribution to the integration of post-editing activities into the translation technology classroom for students without prior experience in PE. |
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