机器翻译质量评估领域自适应优化（英文版）

英文标题：Tailoring Domain Adaptation for Machine Translation Quality Estimation中文摘要：本文介绍了一种强大的质量估计系统，通过结合领域自适应和数据增强的方法，解决了数据稀缺和领域匹配的问题，获得了明显的性能提升，具有更好的跨语种推理和零样本学习表现。英文摘要：While quality estimation (QE) can play an important role in the translationprocess, its effectiveness relies on the availability and quality of trainingdata. For QE in particular, high-quality labeled data is often lacking due tothe high-cost and effort associated with labeling such data. Aside from thedata scarcity challenge, QE mo