Translation Memory (TM) is an organization-wide database of previously translated strings. When a translator or the AI engine works on a new string, Entri searches the TM for similar strings and suggests the approved translations as a starting point. This accelerates translation, reduces cost, and enforces consistency across projects.TM entries are created automatically when AI translations are saved. All projects in the organization share the same TM.The TM search uses fuzzy matching — strings do not need to be identical to be considered a match.
[ { "_id": "tm_abc123", "sourceText": "Welcome to Entri", "targetText": "Bienvenue sur Entri", "sourceLanguage": "en", "targetLanguage": "fr", "similarity": 100, "usageCount": 14 }, { "_id": "tm_def456", "sourceText": "Welcome to the platform", "targetText": "Bienvenue sur la plateforme", "sourceLanguage": "en", "targetLanguage": "fr", "similarity": 76, "usageCount": 3 }]
The similarity score (0–100) indicates how closely the stored source text matches the query. A score of 100 is an exact match.
usageCount tracks how many times the same source text has been added to the TM (e.g. duplicate strings across keys). It does not count how many times the entry has been applied as a suggestion.