Quality Topic

Introducing Unbabel-COMET v2.0: Improved Models and Metrics for Better Machine Translation Evaluation

Unbabel announces the release of open-source Unbabel-COMET v2.0, with improved models and metrics for better MT evaluation.

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How to Reduce Translation Costs with Machine Learning

Looking for a way to reduce your translation costs? Here’s how machine learning and quality estimation can help.

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about 1 month ago

Transparency and Excellence: The Driving Forces Behind Quality Evaluation in Machine Translation

Almost every translation platform and LSP claims to offer high-quality translations at scale, but how many of them have the ability to prove it? Find out more.

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about 2 months ago

Springer Nature and Unbabel Talk Translation Quality at Scale with Human-Refined MT

At LangOps Universe, Unbabel joined with partner Springer Nature for a talk on delivering high-quality multilingual machine translations at scale.

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2 months ago

Building Trust in Artificial Intelligence: The Pivotal Role of Quality Assessments

Unbabel ensures transparent quality evaluation through an advanced Language QA framework. Try our free demo for a quality assessment of your translations.

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2 months ago

Launching a LangOps Platform Self-Service Trial

Discover Unbabel’s new free trial, granting you self-service access to our LangOps platform and first-hand experience of our high-quality translations at no cost.

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3 months ago

What’s New at Unbabel

Learn more about Unbabel’s latest developments, including the release of new Named Entity Recognition (NER) Models and the expansion of Polyglot’s functionalities.

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almost 7 years ago