TranslateLocally: Blazing-fast translation running on the local CPU (2021.emnlp-demo)
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| Challenge: | Using cloud-based translation providers carries privacy risks, as users lose control of their data once it enters the web. |
| Approach: | They propose a desktop translation application that runs locally on a user's desktop or laptop CPU. translateLocally delivers cloud-like translation speed and quality even on 10 year old hardware. |
| Outcome: | The open-source translation system runs on Linux, Windows and macOS on desktops and laptops. |
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Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, André F. T. Martins, Alexandra Birch
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| Challenge: | State-of-the-art neural machine translation models deliver high-quality translations at the expense of high inference latency and energy consumption. |
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Large-scale Machine Translation for Indian Languages in E-commerce under Low Resource Constraints (2022.emnlp-industry)
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