Opus-MT

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Opus-MT is an Open Source machine translation tool that provides neural machine translation models and web services. It offers pre-trained, downloadable translation models based on Marian-NMT and OPUS data.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Opus-MT?

Opus-MT is an open-source project offering neural machine translation models and web services, built upon Marian-NMT and trained using OPUS data. It features SentencePiece-based segmentation and guided alignment for its models. The platform provides pre-trained, downloadable translation models under a CC-BY 4.0 license, including those from the Tatoeba translation challenge. Users can set up a Tornado-based web application with a UI and API for multiple language pairs, or a simpler websocket service. While it includes scripts for training models, these are currently optimized for the University of Helsinki and CSC computing environments. Opus-MT is ideal for researchers and developers looking to integrate or build upon open translation services.

Best used for

Ideal for researchers and developers who need to implement open translation services, integrate machine translation into custom applications, and experiment with NMT model training. Especially valuable for academic projects and open-source initiatives requiring customizable translation solutions.

Common actions

Translate text

Build translation services

Train NMT models

Integrate translation API

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Capabilities

Key features

Open neural machine translation
Pre-trained models
Web UI and API
Websocket service
Docker support
Model training scripts

Target Audience

professor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of translation models does Opus-MT offer?

Opus-MT provides open neural machine translation models, primarily SentencePiece-based and trained with guided alignment on OPUS data. These include pre-trained, downloadable models, some of which are from the Tatoeba translation challenge, all available under a CC-BY 4.0 license.

Can I train my own models with Opus-MT?

Yes, Opus-MT includes scripts for training new models from OPUS data. However, these scripts are currently heavily customized for the computing environments at the University of Helsinki and CSC, making them less generic for other setups.

How can I deploy Opus-MT for my own use?

You can deploy Opus-MT either manually by installing Marian MT and prerequisites, or by using Docker. Docker offers options for both CPU and CUDA GPU environments, allowing you to launch a web interface via localhost.

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Research & Education › Academic Research Coding & Development › Open Source & Models

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