OPUS-MT
No phone app
5.5No. 66 of 154
in Translation Software
in Translation Software
- Recognised40% of the score20
- Phone app26% of the score0
- Documented20% of the score66
- Free plan14% of the score30
- Free plan
- No
- Runs on
- api, Linux, self-hosted, Web
Summary
OPUS-MT is ranked #66 of 154 in translation software on Samsung Mobile US Press. It runs on API, Linux, Self-hosted, Web.
Compared on translation software
- API access
- Yesgithub.com
Facts
- Purpose
- OPUS-MT provides open neural machine translation models and tools for translation services.github.com · 5 Oct 2026
- Model foundation
- The models are based on Marian-NMT and trained on OPUS data using OPUS-MT-train.github.com · 5 Oct 2026
- Model license
- The repository says its downloadable pre-trained translation models are licensed CC-BY 4.0.github.com · 5 Oct 2026
- Web interface and API
- One included setup is a Tornado-based web application with a web UI and API for multiple language pairs.github.com · 5 Oct 2026
- Deployment
- The web application can be installed manually or run with Docker, including a documented CUDA GPU Docker option.github.com · 5 Oct 2026
- Linux service
- The project documents installing a WebSocket translation service on Ubuntu.github.com · 5 Oct 2026
- Translation output
- The WebSocket example returns translated text along with alignment and source and target segments.github.com · 5 Oct 2026
- Language pair configuration
- The web server uses a JSON configuration to specify translation language pairs and model decoder configurations or remote hosts.github.com · 5 Oct 2026
- Translation workflow integration
- The project points to OPUS-CAT as an NMT plugin for Trados Studio that can run OPUS-MT models.github.com · 5 Oct 2026
- Quality limitation
- The maintainers caution that many automatic evaluation scores use simple, short Tatoeba sentences and may be too optimistic for realistic data.github.com · 5 Oct 2026
- Training limitation
- The maintainers say the model training scripts are heavily customized for the University of Helsinki and CSC computing environment.github.com · 5 Oct 2026
- Model limitations
- The maintainers state that current models lack filtering, data augmentation, domain adaptation, and quality control beyond automatic evaluation on selected test sets.github.com · 5 Oct 2026
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Where it ranks on Samsung Mobile US Press
- Best Translation Software in 2026#66 of 154
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Sources
- github.com/Helsinki-NLP/OPUS-MT· checked 5 Oct 2026
- github.com/Helsinki-NLP/OPUS-MT/tree/master/doc/We· checked 5 Oct 2026