Software of the Bergamot Project
- Our recipe for training efficient translation systems
- A machine translation server for Marian with a REST API and more features than the default server.
- Ptakopět: a system for quality estimation and outbound translation
- intgemm: a library for 8-bit and 16-bit matrix multiplication on x86_64 CPUs
Partner Software Relevant for the Bergamot Project
University of Edinburgh
- Marian: Fast Neural Machine Translation in C++, Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, Andre ́ F. T. Martins, and Alexandra Birch.
Charles University
- Neural Monkey: An Open-source Tool for Sequence Learning, Jindřich Helcl, Jindřich Libovický. In The Prague Bulletin of Mathematical Linguistics, 2017.
University of Sheffield
- Multi-level Translation Quality Prediction with QuEst++, Lucia Specia, Gustavo Henrique Paetzold and Carolina Scarton. In the Proceedings of ACL-IJCNLP 2015 System Demonstrations, Beijing, China, pp. 110-120. 2015.
Mozilla
- Firefox, popular web browser.
- Deep Speech: Deep Leaning STT Engine, localizable speech-to-text engine that uses deep learning techniques to transcribe speech to text. It has more than 9,400 stars, and over 1,600 forks on GitHub repository.
- TTS: Deep Leaning TTS Engine, Localizable text-to-speech engine that uses deep learning techniques to speak written text.
University of Edinburgh
- Marian: Fast Neural Machine Translation in C++, Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, Hieu Hoang, Kenneth Heafield, Tom Neckermann, Frank Seide, Ulrich Germann, Alham Fikri Aji, Nikolay Bogoychev, Andre ́ F. T. Martins, and Alexandra Birch.
Charles University
- Neural Monkey: An Open-source Tool for Sequence Learning, Jindřich Helcl, Jindřich Libovický. In The Prague Bulletin of Mathematical Linguistics, 2017.
University of Sheffield
- Multi-level Translation Quality Prediction with QuEst++, Lucia Specia, Gustavo Henrique Paetzold and Carolina Scarton. In the Proceedings of ACL-IJCNLP 2015 System Demonstrations, Beijing, China, pp. 110-120. 2015.
Mozilla
- Firefox, popular web browser.
- Deep Speech: Deep Leaning STT Engine, localizable speech-to-text engine that uses deep learning techniques to transcribe speech to text. It has more than 9,400 stars, and over 1,600 forks on GitHub repository.
- TTS: Deep Leaning TTS Engine, Localizable text-to-speech engine that uses deep learning techniques to speak written text.