This article defines a Framework for Machine Translation Evaluation (Femti) which relates the quality model used to evaluate a machine translation system to the purpose and context of the system. Our ...
The world’s first dataset aimed at improving the quality of English-to-Malayalam machine translation – a long-overlooked language spoken by more than 38 million people in India – has been developed by ...
Through the progress made in a sentence-level neural machine translation (NMT), a context-aware NMT has rapidly been developed to exploit previous sentences as context. Recent work on the ...