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 ...

We benchmarked how translation and transcription models perform when faced with genuine news content, exacting journalists and real newsroom needs. Which transcription or translation model is best for ...

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 ...

Google has announced a neural machine translation (NMT) system that it says will reduce translation errors across its Google Translate service by between 55 percent and 85 percent, calling the ...

Which transcription or translation model is best for my language or for my needs? Can I trust the machine to do this well? The BBC is one of countless organisations in the media and beyond to explore ...