ModernMT

ModernMT uses instance-based adaptation — when you post-edit a translation in your CAT tool, the correction is immediately available as context for the next segment without retraining the underlying model. Traditional MT engines require periodic full retraining to absorb corrections, which can take days or weeks. ModernMT's approach means if you correct gadget to widget in segment 1, segment 2 of the same document will already know your preference. This is particularly valuable for long documents with consistent terminology.

For single-sentence quality on European languages, DeepL still wins in most blind evaluations. But for full-document workflows where the translator is post-editing at scale, ModernMT often produces higher end-of-day productivity because each correction reduces downstream editing. LSPs that have benchmarked both tend to use DeepL as a fallback and ModernMT as the primary engine inside CAT tools.

Not a free public web translator. ModernMT offers a free API trial with a limited character quota so developers and agencies can evaluate the engine, but there is no ongoing free consumer product. If you want a free web translator, Google Translate or the free tier of DeepL are the right choices. ModernMT is priced as a professional and enterprise product.

ModernMT supports 60+ languages and around 3,600 language pairs, including all major European languages, Chinese, Japanese, Korean, Arabic, Hindi, and several low-resource pairs. Coverage is smaller than Google Translate's 133+ but broader than DeepL's 33. For enterprise customers, Translated can train custom language pairs or domain models against your own corpus.

Yes. On-premise deployment is a core enterprise offering — ModernMT ships a Docker-based installer that runs on Linux servers with GPU acceleration. This is the typical deployment for law firms, pharma, and financial services who cannot send content to any external API. Pricing is custom and usually includes setup, custom corpus training, and a dedicated support contract.

Both target enterprise MT, but they differ in philosophy. SYSTRAN offers broader language coverage and a longer track record in government and defense. ModernMT focuses on adaptive quality inside professional CAT workflows. For a localization agency, ModernMT often feels more productive. For a government agency translating rare language pairs, SYSTRAN is usually the safer pick.

Yes, direct integrations exist for Phrase (formerly Memsource), memoQ, Trados Studio, Matecat, and Across. Setup typically involves pasting an API key into the CAT tool's MT plugin settings. Once connected, ModernMT appears as a machine translation provider alongside DeepL, Google, and Microsoft, and post-edits feed back into the adaptive engine automatically.