Fitting Machine Translation into Clients

Abstract

The Bergamot project is making neural machine translation efficient enough to run with high quality on a desktop, preserving privacy compared to online services. Doing so requires us to compress the model to fit in reasonable memory and run fast on a wide range of CPUs.

Keywords

• neural machine translation
• efficiency
• privacy preservation
• model compression

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This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825303.

References