Translate your Own: a Post-Editing Experiment in the NLP domain

« The improvements in neural machine translation make translation and post- editing pipelines ever more effective for a wider range of applications. In this paper, we evaluate the effectiveness of such a pipeline for the translation of scientific documents (limited here to article abstracts). (…) »

source > hal.science, Rachel Bawden, Ziqian Peng, Maud Bénard, Eric Villemonte de La Clergerie, Raphaël Esamotunu, et al.. Translate your Own: a Post-Editing Experiment in the NLP domain. The 25th Annual Conference of the European Association for Machine Translation, European Association for Machine Translation, Jun 2024, Sheffield, United Kingdom. ⟨hal-04573922⟩

• Mots-clés : 
• Machine translation