From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation

arXiv:2403.14118v1 Announce Type: new
Abstract: Machine Translation Quality Estimation (MTQE) is the task of estimating the quality of machine-translated text in real time without the need for reference translations, which is of great importance for the development of MT. After two decades of evolution, QE has yielded a wealth of results. This article provides a comprehensive overview of QE datasets, annotation methods, shared tasks, methodologies, challenges, and future research directions. It begins with an introduction to the background and significance …

abstract arxiv cs.cl development evolution features importance llms machine machine translation quality reference survey text translated translation translations type