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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Unbabel announces the release of open-source Unbabel-COMET v2.0, with improved models and metrics for better MT evaluation.
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Looking for a way to reduce your translation costs? Here’s how machine learning and quality estimation can help.
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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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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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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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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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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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