HqWu-HITCS / Awesome-Quality-Estimation-for-Machine-Translation

Resource of machine translation quality estimation

Awesome-Quality-Estimation-for-Machine-Translation

This repository is to collect resource for quality estimation of machine translation .

We strongly encourage the researchers that want to promote their fantastic work to the quality estimation of machine translation community to make pull request to update their paper's information!

Paper

• Improving Translation Quality Estimation with Bias Mitigation (ACL23)

• Bias Mitigation in Machine Translation Quality Estimation (ACL22)

• Unsupervised Quality Estimation for Neural Machine Translation (TACL20)

• Self-Supervised Quality Estimation for Machine Translation (EMNLP21)

• DirectQE: Direct Pretraining for Machine Translation Quality Estimation (AAAI21)

• Quality Estimation without Human-labeled Data (EACL21)

• Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation (EMNLP21)

• Continual Quality Estimation with Online Bayesian Meta-Learning (ACL21)

• Knowledge Distillation for Quality Estimation (ACL21)

• PreQuEL: Quality Estimation of Machine Translation Outputs in Advance (EMNLP22)

• Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? (EMNLP22)

Dataset

• QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation (COLING22)

• MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset LREC22

Tool

• OpenKiwi

• DeepQuest

• DeepQuest-py

• TransQuest

Evaluation tasks

• WMT

• CCMT