How Large Language Models Improve Document-Level AI Translation
University of Zurich and Huawei researchers show how LLMs improve document-level AI translation by preserving...
University of Zurich and Huawei researchers show how LLMs improve document-level AI translation by preserving...
A new study investigates the impact of word-level quality estimation on post-editing. While it may...
Inspired Spine’s SURI converts multilingual doctor-patient conversations into structured medical reports using automatic speech recognition...
Researchers from Shahjalal University of Science and Technology and the University of Oklahoma propose a...
Inria improves AI translation for low-resource languages by breaking sentences into simpler phrases, translating them...
A new study finds that translationese — unnatural, overly literal translations — remains a persistent...
Unbabel exposes how using the same metrics for both training and evaluation can create misleading...
Alibaba claims large reasoning models excel in stylized and document-level translation, but high computational costs...
Researchers show how to reduce computational overhead in LLM-based translation evaluation while maintaining accuracy, offering...
Tsinghua and Cambridge researchers introduce a technique that expands multilingual speech models without full retraining,...
Researchers present a new training method that improves large language model performance across languages, especially...