Government & Public SectorNatural Language Processing

Basque Government's EJIE builds high-speed AI translation tool on Red Hat OpenShift

EJIE (Basque Government)· SpainRed Hat OpenShift · Red Hat Enterprise Linux · Red Hat Ansible Automation Platform

EJIE, the Basque Government's IT management arm, built the Itzuli neural translator to translate between Spanish, French, English and Basque, replacing an older grammar-rule-based tool that struggled with long texts. Using Red Hat OpenShift to run GPU-backed containers for the neural translation models, with support from Red Hat Consulting and a Technical Account Manager, EJIE launched general and specialist legal/administrative versions of the tool. Usage grew 300% in three years: from about 2 million quarterly translation requests in early 2020 to over 6.7 million per quarter by August 2023, with peaks over 260,000 queries in a single day and over 30,000 daily users; official-service translation requests fell 40% over the same period as citizens used the self-service tool directly.

Overview

EJIE, the Basque Government's IT management arm, built the Itzuli neural translator to translate between Spanish, French, English and Basque, replacing an older grammar-rule-based tool that struggled with long texts. Using Red Hat OpenShift to run GPU-backed containers for the neural translation models, with support from Red Hat Consulting and a Technical Account Manager, EJIE launched general and specialist legal/administrative versions of the tool. Usage grew 300% in three years: from about 2 million quarterly translation requests in early 2020 to over 6.7 million per quarter by August 2023, with peaks over 260,000 queries in a single day and over 30,000 daily users; official-service translation requests fell 40% over the same period as citizens used the self-service tool directly.

The challenge

EJIE's earlier automatic translation tool, developed in 2014, used grammar-rule-based technology; it worked well with short sentences but made mistakes in long texts. EJIE needed a high-quality, automated tool supported by modern AI capabilities to translate Spanish, French and English into Basque and vice versa, and had to build new technical capabilities in GPUs and Kubernetes containers to do so.

The solution

EJIE built the Itzuli neural translator using Red Hat OpenShift to run GPU-backed containers for the neural translation models, aided by the GPU operator that simplified GPU integration in OpenShift, with Red Hat Consulting and a Red Hat Technical Account Manager supporting the project. EJIE launched a general version of the tool for colloquial language plus a more specialized version for legal and administrative tasks.

Natural Language Processing

Reported business value

Usage grew 300% in three years: from about 2 million quarterly translation requests in early 2020 (with peaks of 90,000 in a single day) to over 6.7 million per quarter by August 2023 (peaking at over 260,000 queries in a single day). Over 30,000 people now use the translator daily, and over 60,000 people have installed the app on a mobile device. Official-service translation requests fell 40% over the same period as citizens used the self-service tool directly.

Sources

Open any source and check the claim yourself — that is the point of the register.

This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)

Related entries

Other government & public sector entries in the register.

All entries
Government & Public SectorIntelligent AutomationPublic Cloud

GovTech unlocks data insights to improve nationwide services with Databricks

Singapore's Government Technology Agency (GovTech) migrated from an on-premises dashboarding system to the Databricks Data + AI Platform on AWS with Unity Catalog and Delta Lake, cutting dashboard creation time from 90 to 30 days, democratizing data across 50% of corporate divisions in the first year, and saving 8,000 labor hours annually.

96/100HighPrimary source
GovTech· SingaporeDelta Lake · Lakeflow Connect · Lakeflow Jobs +1
Government & Public SectorConversational AIPublic Cloud

Estonia rolls out Bürokratt, an AI-guided virtual assistant network for public services

Bürokratt is a network of chatbots deployed on Estonian public sector institutions' websites, letting people obtain information from institutions and use public and information services via virtual assistants. It is a state-created, AI-based digital assistant that helps institutions deliver modern, efficient, around-the-clock customer service using large language models.

96/100HighPrimary source
Estonian Government (RIA - State Information System Authority)· EstoniaLarge Language Models (LLM) · Retrieval-Augmented Generation (RAG)
Government & Public SectorGenerative AIPublic Cloud

VA Advances Healthcare Insights With AI

The U.S. Department of Veterans Affairs leverages Databricks Data Intelligence to modernize healthcare analytics for millions of veterans, unifying massive distributed datasets into a single secure environment and streaming petabytes of health data in real time, reducing processes that once took hours to seconds. Databricks enables AI and large language models to detect risk early and enhance governance.

96/100HighPrimary source
U.S. Department of Veterans AffairsDatabricks
Government & Public SectorNatural Language ProcessingUnknown

Austrian Academy of Sciences unlocks Ancient Greek with Mistral

The Austrian Academy of Sciences (OeAW), together with its Austrian Archaeological Institute, partnered with Mistral and services partner Reply to build Apollo, described as the first advanced large language model for Ancient Greek. Apollo is trained on a specialized corpus of 600 million words of historical Greek text plus tens of thousands of published inscriptions and papyri, helping researchers reconstruct damaged texts and identify thematic connections across collections. The OeAW reports Apollo turns work that once took years into hours, addressing over one million unread Greek papyri worldwide, with future phases planned for semantic search and handwritten inscription decipherment.

92/100HighPrimary source
Austrian Academy of Sciences· AustriaMistral

Was this helpful?

Your feedback helps us improve our use case database