IEEE

An Intelligent Error Detection Model for Machine Translation Using Composite Neural Network-Based Semantic Perception

Abstract: Although machine translation has received great progress in recent years, machine translation results usually existed some errors due to the complex ...
GitHub

Imprecise Probabilistic Machine Learning

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
Yahoo Finance

Machine Translation Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)

Dublin, Jan. 21, 2026 (GLOBE NEWSWIRE) -- The "Machine Translation - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)" has been added to ResearchAndMarkets.com's ...
IEEE

Toward Low-Resource Languages Machine Translation: A Language-Specific Fine-Tuning With LoRA for Specialized Large Language Models

Abstract: In the field of computational linguistics, addressing machine translation (MT) challenges for low-resource languages remains crucial, as these languages often lack extensive data compared to ...