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When terminology becomes infrastructure: EcoDrive TermSpace and the semantic layer Europe needs for AI

Europe’s AI problem is also a problem of meaning.

Data spaces cannot create value if the organizations sharing data do not share the same language. AI models cannot reason reliably over specialized domains if the concepts behind the words remain...

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MTQE Is Becoming a Translation Control Layer: From Scores to Adaptive Quality Workflows

A translation can be accurate and still fail the job.

That is the uncomfortable reality behind the next phase of Machine Translation Quality Estimation, or MTQE. A sentence can preserve meaning, read fluently, and obtain a respectable quality score...

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EcoDrive Termspace: Building an Ontological Layer for Automotive AI

Beyond data and language models, automotive AI needs a shared understanding of knowledge and EcoDrive TermSpace explores how ontologies can become the semantic foundation that makes enterprise AI more reliable, interoperable, and scalable.

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