DreamW1ngs/

DCSQE-ende-sent

Spearman correlation coefficient is set as the best metric to train the sentence-level task.

Using the DCSQE framework, synthetic data is generated from the WMT2023 parallel corpus for pre-training, and then fine-tuned on the WMT2022 QE EN-DE training set, all implemented with the Fairseq framework.

For a detailed description of the DCSQE framework, please refer to the paper:
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation