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What AI companies build with translation and localization agencies data
By SourceX Editorial · Updated
Short answer
AI companies use translation and localization agencies data to build machine translation, localization agents and quality estimation. The most useful records are translation memories, glossaries and style guides, reviewer edits and QA scores, because they show how real work in the field gets done.
Machine translation#
Models for machine translation learn from real examples of the work, such as translation memories and glossaries and style guides, prepared with personal details removed.
Localization agents#
Models for localization agents learn from real examples of the work, such as translation memories and glossaries and style guides, prepared with personal details removed.
Quality estimation#
Models for quality estimation learn from real examples of the work, such as translation memories and glossaries and style guides, prepared with personal details removed.
How your records get there#
SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.
Frequently asked questions
Will AI built from our data compete with us?
Licenses can limit uses and buyers. Raise it during the rights review.
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See if your company qualifies
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