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Data types

What makes translation memories valuable for AI?

By SourceX Editorial · Updated

Short answer

Translation memories are valuable to AI companies because professionally translated pairs are high-quality language data. They are used to build machine translation, localization and multilingual models. Value rises with volume, years of history, consistency and clear rights.

What's inside#

Typically aligned source and target segments with edits.

What AI companies build with them#

Common uses include machine translation, localization and multilingual models.

What affects value#

Linked records (a request connected to its outcome), long consistent histories, unusual domains and clean rights all help. There is no price list. Value depends on buyer demand, volume, years of history, how unusual the records are and how clear your rights are, and it is only known once a buyer engages.

How licensing works#

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

Do translation memories have to be perfect?

No. Preparation fixes a lot, but complete and consistent records are worth more.

Related resources

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