AMTA Launches Working Group to Standardize Translation Quality Estimation Evaluation
AMTA launches a working group tasked with developing a common framework and methodology for evaluating...
AMTA launches a working group tasked with developing a common framework and methodology for evaluating...
Attached's new AI suite empowers international teams with the speed of AI translation while maintaining...
Two new research papers propose using question answering to evaluate AI translation, challenging how the...
A new study investigates the impact of word-level quality estimation on post-editing. While it may...
New Adaptive Quality Estimation Technology Streamlines Translation Quality Management for Cost-Effective and Accurate Localization.
Google presents MetricX-24, its latest machine translation evaluation metric, which demonstrates significant performance improvements over...
The 2024 Slator Pro Guide: Translation AI is a vital and concise guide to applying...
Researchers from Unbabel and Instituto de Telecomunicações present xTOWER, a large language model providing “high-quality”...
Researchers from ETH Zurich and Microsoft created an AI-assisted tool to help human evaluators more...
China-based researchers, including some from tech giant Huawei, publish a comprehensive overview of machine translation...
Researchers from academia and Unbabel introduce CONTEXT-MQM, an LLM-based metric tailored for machine-translated chats. The...