mlsanityData to 7 Oct 2026

QEMind: Alibaba's Submission to the WMT21 Quality Estimation Shared Task

arXiv 2112.14890 ↗First posted 30 Dec 2021cs.CLcited by 4

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Abstract (arXiv)

Quality Estimation, as a crucial step of quality control for machine translation, has been explored for years. The goal is to investigate automatic methods for estimating the quality of machine translation results without reference translations. In this year's WMT QE shared task, we utilize the large-scale XLM-Roberta pre-trained model and additionally propose several useful features to evaluate the uncertainty of the translations to build our QE system, named textitQEMind. The system has been applied to the sentence-level scoring task of Direct Assessment and the binary score prediction task of Critical Error Detection. In this paper, we present our submissions to the WMT 2021 QE shared task and an extensive set of experimental results have shown us that our multilingual systems outperform the best system in the Direct Assessment QE task of WMT 2020.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 11 of its 18 references that are in the map. First posted on arXiv 30 Dec 2021.

Builds on

11 of 18 references.

References · 11

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learningcited by 4,416
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  4. 2019How multilingual is Multilingual BERT?cited by 642
  5. 2020Multilingual Translation with Extensible Multilingual Pretraining and Finetuningcited by 287
  6. 2020Unsupervised Quality Estimation for Neural Machine Translationcited by 210
  7. 2020TransQuest at WMT2020: Sentence-Level Direct Assessmentcited by 20
  8. 2019Unbabel's Participation in the WMT19 Translation Quality Estimation Shared Taskcited by 13
  9. 2018"Bilingual Expert" Can Find Translation Errorscited by 10
  10. 2021Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translationcited by 5
  11. 2020Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editingcited by 4

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Cited by year

Citing papers per year: 2022: 2; 2023: 2.

4 papers.

  1. 2023AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languagescited by 24
  2. 2022Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Taskcited by 3
  3. 2022Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languagescited by 1
  4. 2023Unsupervised Translation Quality Estimation Exploiting Synthetic Data and Pre-trained Multilingual Encodercited by 0