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 ...

You may have missed the popping of champagne corks and the shower of ticker tape, but in recent months computational linguists have begun to claim that neural machine translation now matches the ...

The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus ...

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 ...