[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-9/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «COMET: A Neural Framework for MT Evaluation» · page 9

# Who cites «COMET: A Neural Framework for MT Evaluation» · page 9

1167 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/rei-2020-comet-neural-framework-mt-evaluation/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-8/) · **9** · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-12/)

1. [Semantically Informed Slang Interpretation](https://aclanthology.org/2022.naacl-main.383/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
2. [SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering](https://aclanthology.org/2022.emnlp-main.378/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
3. [SubER - A Metric for Automatic Evaluation of Subtitle Quality](https://aclanthology.org/2022.iwslt-1.1/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
4. [Subword-Delimited Downsampling for Better Character-Level Translation](https://aclanthology.org/2022.findings-emnlp.69/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
5. [The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation](https://aclanthology.org/2022.naacl-main.136/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
6. [The EuroPat Corpus: A Parallel Corpus of European Patent Data](https://aclanthology.org/2022.lrec-1.78/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
7. [Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation](https://aclanthology.org/2022.emnlp-main.20/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
8. [Towards Robust k-Nearest-Neighbor Machine Translation](https://aclanthology.org/2022.emnlp-main.367/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
9. [Twist Decoding: Diverse Generators Guide Each Other](https://aclanthology.org/2022.emnlp-main.326/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
10. [UniTE: Unified Translation Evaluation](https://aclanthology.org/2022.acl-long.558/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Vega-MT: The JD Explore Academy Machine Translation System for WMT22](https://aclanthology.org/2022.wmt-1.37/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
12. [Who Are We Talking About? Handling Person Names in Speech Translation](https://aclanthology.org/2022.iwslt-1.6/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
13. [Why don't people use character-level machine translation?](https://aclanthology.org/2022.findings-acl.194/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
14. [Why is sentence similarity benchmark not predictive of application-oriented task performance?](https://aclanthology.org/2022.eval4nlp-1.8/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
15. [XInfoTabS: Evaluating Multilingual Tabular Natural Language Inference](https://aclanthology.org/2022.fever-1.7/) *— 2022 · Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER)*
16. [A Fine-Grained Analysis of BERTScore](https://aclanthology.org/2021.wmt-1.59/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
17. [A Large-Scale Study of Machine Translation in Turkic Languages](https://aclanthology.org/2021.emnlp-main.475/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
18. [Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task](https://aclanthology.org/2021.wmt-1.111/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
19. [Automatic Classification of Human Translation and Machine Translation: A Study from the Perspective of Lexical Diversity](https://aclanthology.org/2021.motra-1.10/) *— 2021 · Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age*
20. [Automatic Text Evaluation through the Lens of Wasserstein Barycenters](https://aclanthology.org/2021.emnlp-main.817/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [BARTScore: Evaluating Generated Text as Text Generation](https://arxiv.org/abs/2106.11520) *— 2021 · arXiv:2106.11520*
22. [CUNI Systems for WMT21: Terminology Translation Shared Task](https://aclanthology.org/2021.wmt-1.82/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
23. [Data Augmentation for Sign Language Gloss Translation](https://aclanthology.org/2021.mtsummit-at4ssl.1/) *— 2021 · Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)*
24. [Do Context-Aware Translation Models Pay the Right Attention?](https://aclanthology.org/2021.acl-long.65/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
25. [Don''t Go Far Off: An Empirical Study on Neural Poetry Translation](https://aclanthology.org/2021.emnlp-main.577/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
26. [Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation](https://md.mova.elamur.ai/free/en/docs/papers/freitag-2021-experts-errors-context-large-scale/) *— our card · 2021*
27. [Findings of the WMT 2021 Shared Task on Efficient Translation](https://aclanthology.org/2021.wmt-1.68/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
28. [Focus Attention: Promoting Faithfulness and Diversity in Summarization](https://aclanthology.org/2021.acl-long.474/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
29. [Generic resources are what you need: Style transfer tasks without task-specific parallel training data](https://aclanthology.org/2021.emnlp-main.349/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
30. [Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors](https://aclanthology.org/2021.emnlp-main.701/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
31. [HW-TSC's Participation at WMT 2021 Quality Estimation Shared Task](https://aclanthology.org/2021.wmt-1.92/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
32. [IST-Unbabel 2021 Submission for the Explainable Quality Estimation Shared Task](https://aclanthology.org/2021.eval4nlp-1.14/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
33. [Language Model Augmented Relevance Score](https://aclanthology.org/2021.acl-long.521/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
34. [Learning Compact Metrics for MT](https://aclanthology.org/2021.emnlp-main.58/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
35. [Levenshtein Training for Word-level Quality Estimation](https://aclanthology.org/2021.emnlp-main.539/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
36. [MT-Telescope: An interactive platform for contrastive evaluation of MT systems](https://aclanthology.org/2021.acl-demo.9/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
37. [Measuring and Increasing Context Usage in Context-Aware Machine Translation](https://aclanthology.org/2021.acl-long.505/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
38. [Multilingual Machine Translation Evaluation Metrics Fine-tuned on Pseudo-Negative Examples for WMT 2021 Metrics Task](https://aclanthology.org/2021.wmt-1.113/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
39. [Multilingual Unsupervised Neural Machine Translation with Denoising Adapters](https://aclanthology.org/2021.emnlp-main.533/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
40. [Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort](https://aclanthology.org/2021.acl-long.242/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
41. [Pruning Neural Machine Translation for Speed Using Group Lasso](https://aclanthology.org/2021.wmt-1.116/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
42. [Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics](https://aclanthology.org/2021.eval4nlp-1.16/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
43. [Regressive Ensemble for Machine Translation Quality Evaluation](https://aclanthology.org/2021.wmt-1.112/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
44. [Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain](https://aclanthology.org/2021.wmt-1.73/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
45. [RoBLEURT Submission for WMT2021 Metrics Task](https://aclanthology.org/2021.wmt-1.114/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
46. [Robust Open-Vocabulary Translation from Visual Text Representations](https://aclanthology.org/2021.emnlp-main.576/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
47. [Semantic Similarity Based Evaluation for Abstractive News Summarization](https://aclanthology.org/2021.gem-1.3/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
48. [To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation](https://aclanthology.org/2021.wmt-1.57/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
49. [Towards More Fine-grained and Reliable NLP Performance Prediction](https://aclanthology.org/2021.eacl-main.324/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
50. [Uncertainty-Aware Machine Translation Evaluation](https://aclanthology.org/2021.findings-emnlp.330/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
51. [Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation](https://aclanthology.org/2021.acl-long.22/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
52. [融合XLM词语表示的神经机器译文自动评价方法(Neural Automatic Evaluation of Machine Translation Method Combined with XLM Word Representation)](https://aclanthology.org/2021.ccl-1.2/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
53. [An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil](https://aclanthology.org/2020.wat-1.22/) *— 2020 · Proceedings of the 7th Workshop on Asian Translation*
54. [Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task](https://aclanthology.org/2020.wmt-1.102/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
55. [Results of the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.77/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
56. [Unbabel's Participation in the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.101/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
57. abela-2024-tokenisation-machine-translation-does-matter
58. abubakar-2025-hausanlp-semeval-2025-task-2
59. aggarwal-2023-evaluating-inter-bilingual-semantic-parsing
60. ahmadi-2025-conloan-contrastive-multilingual-dataset-evaluating
61. alabi-2024-exploring-inline-lexicon-injection-cross
62. alam-2026-llm-judge-deterministic-metrics-multilingual
63. ali-2025-leveraging-loanword-constraints-improving-machine
64. alves-2022-unbabel-ist-wmt-chat-translation
65. appicharla-2023-case-study-context-encoding-multi
66. asscher-2026-ethica-mt-introducing-framework-dataset
67. ataee-2025-chain-thought-reasoning-improves-context
68. aulamo-2026-challenge-finding-robust-efficient-strategies
69. avila-2024-reduction-des-repetitions-dans-la
70. awobade-2026-afrivox-probing-multilingual-accent-robustness
71. bakker-2026-llm-evaluation-practice-review-metrics
72. balal-2026-diversity-aware-literary-machine-translation
73. baziotis-2024-when-does-monolingual-data-help
74. berger-2026-generation-evaluation-resource-error-categorized
75. borisov-2025-low-resource-machine-translation-code
76. bouthors-2026-improving-retrieval-augmented-neural-machine
77. braggaar-2026-evaluating-task-oriented-dialogue-systems
78. brien-2026-evaluation-pose-estimation-systems-sign
79. bu-2026-language-demand-knowledge-core-composing
80. cabeca-2023-quality-fit-purpose-building-business
81. camargo-2024-perceptions-educators-mtqa-curriculum-instruction
82. cao-2026-completely-modular-fine-tuning-dynamic
83. castello-2026-enhancing-llm-translation-performance-spanish
84. catapang-2026-position-metric-typology-language-model
85. chakraborty-2026-codeclarity-framework-benchmark-evaluating-multilingual
86. chaoui-2026-neural-machine-translation-coptic-french
87. chatterjee-2026-hat-hallucination-annotation-translation
88. chen-2021-machine-translation-low-resource-indo
89. chen-2024-improving-nmt-low-resource-source
90. cheng-2024-task-arithmetic-language-expansion-speech
91. cheng-2025-bayesian-optimization-approach-machine-translation
92. cheng-2026-improving-long-context-translation-self
93. chintada-2026-visually-guided-movie-subtitle-translation
94. cho-2025-crepe-rapid-chest-x-ray
95. choudhary-2025-exploring-context-strategies-llms-discourse
96. chousa-2025-automatic-evaluation-language-generation-technology
97. cisse-2026-kumatigi-quality-driven-data-augmentation
98. coleman-2026-comparing-llm-based-translation-approaches
99. czehmann-2026-sacred-bird-called-phoenix-auditing
100. dabre-2024-how-effective-is-synthetic-data

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-8/) · **9** · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-12/)

- [← previous Who cites «COMET: A Neural Framework for MT Evaluation» · page 8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-8/)
- [next → Who cites «A Structured Review of the Validity of BLEU»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/reiter-2018-structured-review-validity-bleu/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)