@inproceedings{bogoychev-etal-2021-translatelocally,
    title = "{T}ranslate{L}ocally: Blazing-fast translation running on the local {CPU}",
    author = "Bogoychev, Nikolay  and
      Van der Linde, Jelmer  and
      Heafield, Kenneth",
    editor = "Adel, Heike  and
      Shi, Shuming",
    booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = nov,
    year = "2021",
    address = "Online and Punta Cana, Dominican Republic",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/Author-page-Marten-During-lu/2021.emnlp-demo.20/",
    doi = "10.18653/v1/2021.emnlp-demo.20",
    pages = "168--174",
    abstract = "Every day, millions of people sacrifice their privacy and browsing habits in exchange for online machine translation. Companies and governments with confidentiality requirements often ban online translation or pay a premium to disable logging. To bring control back to the end user and demonstrate speed, we developed translateLocally. Running locally on a desktop or laptop CPU, translateLocally delivers cloud-like translation speed and quality even on 10 year old hardware. The open-source software is based on Marian and runs on Linux, Windows, and macOS."
}