Quality estimation

Quality estimation › Integrations

Quality estimation integrations

Quality estimation — AI to score AI translations — is a key internal component of AI systems to check and fix AI translations, and trigger human intervention where needed.

These AI systems are available via integrations with translation management systems.

• Quality estimation in Crowdin
• Quality estimation in GlobalLink
• Quality estimation in GroupShare
• Quality estimation in Lokalise
• Quality estimation in memoQ
• Quality estimation in Phrase
• Quality estimation in Plunet
• Quality estimation in Smartling
• Quality estimation in Trados Enterprise
• Quality estimation in Transifex
• Quality estimation in translate5
• Quality estimation in Wordbee
• Quality estimation in WorldServer
• Quality estimation in XTM
• Quality estimation in XTRF

← Learn more about quality estimation

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Supported by the team at ModelFront — AI to check and fix AI translations, and trigger human intervention where needed