@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",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T TranslateLocally: Blazing-fast translation running on the local CPU
%A Bogoychev, Nikolay
%A Van der Linde, Jelmer
%A Heafield, Kenneth
%Y Adel, Heike
%Y Shi, Shuming
%S Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online and Punta Cana, Dominican Republic
%F bogoychev-etal-2021-translatelocally
%X 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.
%R 10.18653/v1/2021.emnlp-demo.20
%U https://aclanthology.org/2021.emnlp-demo.20
%U https://doi.org/10.18653/v1/2021.emnlp-demo.20
%P 168-174
Markdown (Informal)
[TranslateLocally: Blazing-fast translation running on the local CPU](https://aclanthology.org/2021.emnlp-demo.20) (Bogoychev et al., EMNLP 2021)
ACL
- Nikolay Bogoychev, Jelmer Van der Linde, and Kenneth Heafield. 2021. TranslateLocally: Blazing-fast translation running on the local CPU. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 168–174, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.