Why the Orchestrator Model Matters Most in Rare Languages
The Numbers Behind the Shift Traditional human translation dropped from 37% to 29% of language company revenu...
Articles tagged Mtpe.
The Numbers Behind the Shift Traditional human translation dropped from 37% to 29% of language company revenu...
More Thinking Isn't Always Better A study covered by Slator throws cold water on a common assumption bak...
DeepL Is Genuinely Good — For About 30 Languages DeepL earns its reputation. For English, German, French, Spa...
The Fluency Trap You run a batch of content through GPT and the output looks clean. Readable, natural, close...
The Pipeline Problem Nobody Is Talking About The localization industry has spent the last three years arguing...
A New QE Playbook — And One Big Blind Spot AMTA's Quality Estimation Users Working Group released its Pr...
The 95% Figure Everyone Is Quoting Florian Faes, Managing Director at Slator, made a claim recently that land...
The Gap Nobody in the QE Conversation Mentions AI quality estimation is genuinely useful. The core idea, as S...
Machine translation has gotten impressively good for the world's most common language pairs. English to S...