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Good practice Imported

24-Language Live AI Transcription — The European Parliament's Competitively Tendered Speech Translation Service

Belgium · Brussels · See the Belgium profile · See the Brussels profile

Evidence: Descriptive / self-reported Top 46% 60/100 · Ask Evidence Copilot about this practice

After an 18-month EU tender, the European Parliament deployed an AI system (RWS/CEDAT85/Bertin IT) that live-transcribes and translates plenary debates in all 24 official languages, aiding deaf and hard-of-hearing members — though no usage or accuracy stats are public.

24 languages
Official EU languages covered by live transcription/translation
18 months
Duration of the competitive tender evaluation

Details

Maturity
Established
Promoter
European Parliament (contracted to RWS / CEDAT85 / Bertin IT consortium)
Period
2020-2021 (ongoing)
Region (NUTS)
BE10
Keywords
parliamentary transparency, accessibility, machine translation, multilingual communication, public procurement

Context

The European Parliament conducts its plenary debates in 24 official EU languages, historically relying on human interpretation and same-day transcript production.

Objectives

Speed up multilingual access to plenary debate and improve accessibility for deaf and hard-of-hearing members and citizens.

Activities

Parliament ran an 18-month competitive tender for an AI-based live transcription and translation system, testing prototypes from three rival teams — Microsoft, Translated, and a consortium of RWS, CEDAT85 and Bertin IT. In November 2021 Parliament confirmed the RWS/CEDAT85/Bertin IT consortium's Language Weaver-based platform as the winner, having "ranked first throughout" the evaluation.

Results

The deployed system automatically transcribes and translates spoken floor debate in real time across all 24 languages, displaying on-screen subtitles for members — including those with hearing impairments — while accelerating release of official multilingual transcripts to the public.

Conclusions

Neither Parliament nor the winning consortium has published usage statistics, translation-accuracy figures, or citizen-reach numbers for the live service; the public record documents the tender process, technical design and selection outcome, not a post-deployment performance evaluation.

Implementation

Indicative cost
High (€500k–€5M)
Time to results
Medium (1–3 years)
Staffing & skills
European Parliament procurement and technical evaluation team, contracted vendor consortium: RWS, CEDAT85, Bertin IT

Conditions for success

  • a rigorous multi-vendor competitive evaluation with prototypes tested head-to-head
  • existing machine-translation infrastructure (Language Weaver) to build on
  • institutional scale that justifies the investment

Common failure modes

  • no public accuracy or usage reporting limits post-deployment accountability
  • solution scaled for one very large multilingual institution, not shown to transfer to smaller bodies

Where it fits

Governance type
EU institution, formal public-procurement process
Scale
EU-wide — all 24 official languages
Income level
high-income

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Data sources

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