With just 300 speakers, manual translation couldn't keep pace. AI now drafts text for linguists to refine, doubling daily output.
One of the largest Native American tribes in the US, governing nearly 11,000 square miles in Oklahoma while relying on just 300 remaining native speakers to maintain its culture.
Manual translation workflows could not keep pace with community demand or effectively process complex historical documents like 19th-century...
“Oracle AI was the best solution for this project because it gave us the choice of model, GPUs, and the technical support we needed to fine-tune the model.”
Tribal government providing social services, healthcare, and economic development.
Enterprise database software and cloud infrastructure services.
Choctaw Nation of Oklahoma's Language translation is part of this use case:
Related implementations across industries and use cases
Language barriers and slow workflows delayed city services. AI now translates 80 languages on the 311 app and automates permit reviews.
General AI failed to parse 6,000 complex budget codes. A custom model now maps every line to green goals, cutting manual work by 30%.
Complex math and chemical structures bottlenecked transcriptions. A fine-tuned OCR model now structures this data into ST36 XML.
Language barriers and slow workflows delayed city services. AI now translates 80 languages on the 311 app and automates permit reviews.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
Scattered histories forced citizens to retell their story at each contact. Júlia now handles intake 24/7; AI preps cases for defenders.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Multilingual expansion meant days-long vendor queues and manual file conversions. DeepL solved both, cutting turnaround by more than half.
With just 300 speakers, manual translation couldn't keep pace. AI now drafts text for linguists to refine, doubling daily output.
One of the largest Native American tribes in the US, governing nearly 11,000 square miles in Oklahoma while relying on just 300 remaining native speakers to maintain its culture.
Manual translation workflows could not keep pace with community demand or effectively process complex historical documents like 19th-century...
“Oracle AI was the best solution for this project because it gave us the choice of model, GPUs, and the technical support we needed to fine-tune the model.”
Tribal government providing social services, healthcare, and economic development.
Enterprise database software and cloud infrastructure services.
Choctaw Nation of Oklahoma's Language translation is part of this use case:
Related implementations across industries and use cases
Language barriers and slow workflows delayed city services. AI now translates 80 languages on the 311 app and automates permit reviews.
General AI failed to parse 6,000 complex budget codes. A custom model now maps every line to green goals, cutting manual work by 30%.
Complex math and chemical structures bottlenecked transcriptions. A fine-tuned OCR model now structures this data into ST36 XML.
Language barriers and slow workflows delayed city services. AI now translates 80 languages on the 311 app and automates permit reviews.
Studio dubbing took weeks, forcing the team to reject long videos. AI translates webinars in minutes for linguists to refine.
Staff reconciled spending line-by-line across scattered systems. Now, they use AI to automate the process and query data in plain English.
Scattered histories forced citizens to retell their story at each contact. Júlia now handles intake 24/7; AI preps cases for defenders.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Multilingual expansion meant days-long vendor queues and manual file conversions. DeepL solved both, cutting turnaround by more than half.