Is Machine Translation Post-Editing Tedious?
AI innovation dominated Slator polls in 2024, with hot topics ranging from translation as a...
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Research Pits Traditional Machine Translation Against LLM-Powered AI Translation
Researchers urge LSPs to evaluate workflows carefully before replacing traditional domain-specific machine translation models with...
Are Large Language Models Ready for Legal Translation?
A new study highlights the uncertainty surrounding the performance of large language models in translating...
Meet QueEn, a Large Language Model for Quechua-English Translation
The University of Georgia introduces QueEn, a large language model designed to bridge communication gaps...
Language AI Briefing December 2024
The language industry’s definitive monthly AI briefing; top AI stories, quote of the month, a...
Microsoft Previews AI Speech Translation App
Competing now in the standalone mobile AI translation market, Microsoft unveils a preview version of...
New DeepL, Translated, Unbabel Products Heat up Competition in AI Translation
Unbabel debuts language ops platform, Translated releases AI translation interface, and DeepL dives into speech...
Language AI Briefing November 2024
The language industry’s definitive monthly AI briefing; top AI stories, quote of the month, a...
Apple and Adobe Researchers Tackle Cultural Nuances in AI Translation
Apple and Adobe researchers introduce a machine translation model that dynamically retrieves culturally relevant terms...
Google Says There’s a Better Way to Create High-Quality Training Data for AI Translation
Google research finds that human-refined AI translations or LLM-enhanced human translations may serve as alternatives...
Researchers Open Source Toolkit to Make AI Translation More ‘Explainable’
Researchers introduce an evaluation toolkit for machine translation, integrating fine-grained error analysis, explainability, and a...