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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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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Discover Unbabel’s Research team’s achievements in the Quality Estimation, Metrics, and Chat Translation shared tasks at WMT22, the largest conference on Machine Translation.
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Learn more about QUARTZ, an initiative funded by the ELISE Open Call, developed by Unbabel, and focused on building responsible MT for conversational data.
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Miguel Ferreira, Unbabel’s Summer 2022 Software Development Intern, showcases the Slack chatbot he worked on as part of his experience on the Portal Team.
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We’ve been pioneering advancements in machine learning since 2015, when we initiated Unbabel AI Research. This new R&D series will showcase our recent achievements.
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