English Translation Quality Estimation And Fine-Grained Error Pattern Recognition Based On Multi-Source Corpus Augmentation And Large Language Models
Cross-domain and source-target mismatch tests show that the MCA-LLM-QEER framework improves robustness to domain shift and fluent-butunfaithful translations and support a unified reference-free QE design in which global quality prediction and fine-grained error diagnosis are learned from complementary bilingual evidenc...