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ModernMT is built around adaptive, context-aware translation for professional workflows. It learns in real time from translation memories and post-edits, considers document-level context rather than single sentences, and integrates natively with CAT tools. Google and DeepL deliver strong generic quality but do not adapt instantly to user corrections or a specific project's terminology without separate custom-model training.
ModernMT supports more than 200 languages and over 40,000 language pairs, including many low-resource pairs. Coverage includes all major business languages plus regional variants such as Latin American Spanish, Brazilian Portuguese, and traditional and simplified Chinese.
Human-in-the-Loop combines ModernMT's adaptive engine with professional post-editing by Translated's network of vetted linguists. The engine produces the first draft, human translators refine it, and every correction feeds back into the adaptive layer to improve quality for that account on future jobs.
Yes. Customer data is not shared across accounts, adaptation is isolated per user or organization, and ModernMT offers an on-premises deployment option for enterprises with strict data residency or confidentiality requirements such as government, legal, or healthcare.
Yes. ModernMT exposes a REST API with SDKs and sample code, supports streaming adaptation by sending reference translations or memories on each request, and offers plugins for common CAT tools. Pricing for API usage is based on characters translated per month, starting at $15 per million characters.
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