EMNLP 2021system demonstrations5 citations
TranslateLocally: Blazing-fast translation running on the local CPU
Nikolay Bogoychev, Jelmer Van der Linde, Kenneth Heafield
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.
BibTeX
@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://aclanthology.org/2021.emnlp-demo.20/",
doi = "10.18653/v1/2021.emnlp-demo.20",
pages = "168--174"
}