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home / docs / papers / cited-by / Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» · page 4

Who cites «Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation» · page 4

395 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2 · 3 · 4

  1. MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  2. Measuring Uncertainty in Translation Quality Evaluation (TQE) — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  3. Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. NJUNLP's Participation for the WMT2022 Quality Estimation Shared Task — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  5. Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  6. On Decoding Strategies for Neural Text Generators — 2022 · Transactions of the Association for Computational Linguistics
  7. On reporting scores and agreement for error annotation tasks — 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  8. On the Effectiveness of Automated Metrics for Text Generation Systems — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
  9. One Embedder, Any Task: Instruction-Finetuned Text Embeddings — 2022 · arXiv:2212.09741
  10. Quality-Aware Decoding for Neural Machine Translation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  11. Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text — 2022 · arXiv:2202.06935
  12. Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust — our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  13. Rethink about the Word-level Quality Estimation for Machine Translation from Human Judgement — 2022 · arXiv:2209.05695
  14. Searching for COMETINHO: The Little Metric That Could — 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
  15. Searching for a Higher Power in the Human Evaluation of MT — 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
  16. Survey of Low-Resource Machine Translation — 2022 · Computational Linguistics
  17. TRUE: Re-evaluating Factual Consistency Evaluation — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  18. The Cross-lingual Conversation Summarization Challenge — 2022 · Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges
  19. Toward More Effective Human Evaluation for Machine Translation — 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)
  20. Translation Error Detection as Rationale Extraction — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
  21. Transparent Human Evaluation for Image Captioning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  22. Twist Decoding: Diverse Generators Guide Each Other — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  23. Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
  24. Findings of the 2021 Conference on Machine Translation (WMT21) — 2021 · Proceedings of the Sixth Conference on Machine Translation
  25. Just Ask! Evaluating Machine Translation by Asking and Answering Questions — 2021 · Proceedings of the Sixth Conference on Machine Translation
  26. Learning Compact Metrics for MT — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  27. Learning with Different Amounts of Annotation: From Zero to Many Labels — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  28. MTEQA at WMT21 Metrics Shared Task — 2021 · Proceedings of the Sixth Conference on Machine Translation
  29. On nature and causes of observed MT errors — 2021 · Proceedings of Machine Translation Summit XVIII: Research Track
  30. On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  31. On the Stability of System Rankings at WMT — 2021 · Proceedings of the Sixth Conference on Machine Translation
  32. Online Learning Meets Machine Translation Evaluation: Finding the Best Systems with the Least Human Effort — 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)
  33. Perturbation CheckLists for Evaluating NLG Evaluation Metrics — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  34. Regressive Ensemble for Machine Translation Quality Evaluation — 2021 · Proceedings of the Sixth Conference on Machine Translation
  35. Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain — 2021 · Proceedings of the Sixth Conference on Machine Translation
  36. The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results — 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems
  37. The statistical advantage of automatic NLG metrics at the system level — 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. To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation — 2021 · Proceedings of the Sixth Conference on Machine Translation
  39. Uncertainty-Aware Machine Translation Evaluation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  40. Underreporting of errors in NLG output, and what to do about it — 2021 · Proceedings of the 14th International Conference on Natural Language Generation
  41. cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE — 2021 · Proceedings of the Sixth Conference on Machine Translation
  42. Meta-Evaluation of Translation Evaluation Methods: a systematic up-to-date overview — 2016 · arXiv:1605.04515
  43. buma-2025-two-step-automatic-post-editing
  44. burg-2025-aligning-black-box-language-models
  45. chan-2026-xtom-exploring-multilingual-theory-mind
  46. chirkova-2026-llm-as-qualitative-judge-automating
  47. court-2026-llms-real-world-evaluating-ai
  48. demeter-2023-multi-domain-summarization-leaderboards-practice
  49. deviyani-2025-contextual-metric-meta-evaluation-measuring
  50. diianni-2025-don-t-sweat-small-stuff
  51. donati-2025-do-large-language-models-understand
  52. eigler-2026-llm-as-meta-judge-synthetic
  53. fischer-2025-swissadt-audio-description-translation-system
  54. fluckiger-2025-comparison-translation-performance-between-deepl
  55. fujita-2021-attainable-text-text-machine-translation
  56. grubisic-2025-irb-mt-wmt25-translation-task
  57. hamalainen-2025-nlg-evaluation-modern-student-assessment
  58. hirasawa-2023-visual-prediction-improves-zero-shot
  59. hofman-2026-maps-multilingual-benchmark-agent-performance
  60. howcroft-2021-what-happens-if-you-treat
  61. huidrom-2025-ask-me-like-i-m
  62. jain-2022-quality-scoring-source-words-neural
  63. kasner-2026-llms-as-span-annotators-comparative
  64. laban-2022-near-negative-distinction-giving-second
  65. larionov-2023-team-nllg-submission-eval4nlp-2023
  66. leiter-2024-bmx-boosting-natural-language-generation
  67. leteno-2025-histoiresmorales-french-dataset-assessing-moral
  68. li-2024-reprohum-0033-3-comparable-relative
  69. li-2024-what-have-we-achieved-non
  70. lin-2025-self-vocabularizing-training-neural-machine
  71. liu-2024-beyond-human-only-evaluating-human
  72. liu-2024-evaluation-briefs-drawing-translation-studies
  73. liu-2024-hd-eval-aligning-large-language
  74. liu-2024-towards-global-ai-inclusivity-large
  75. liu-2025-global-ai-inclusivity-large-scale
  76. maharaj-2024-evaluation-continual-improvement-enterprise-ai
  77. marchisio-2022-systematic-style-differences-between-unsupervised
  78. matsuda-2025-vela-llm-hybrid-as-judge
  79. miltenburg-2024-reprohum-0033-03-how-reproducible
  80. nakazawa-2025-findings-first-patent-claims-translation
  81. nakhle-2023-l-evaluation-de-la-traduction
  82. nedey-2025-la-traduction-automatique-dialectale-etat
  83. obadic-2023-c-xnli-croatian-extension-xnli
  84. ray-2026-tau-multilingual-benchmarking-voice-agents
  85. simard-2024-position-paper-should-machine-translation
  86. song-2025-structured-document-translation-format-reinforcement
  87. sosa-2025-rubrik-s-cube-testing-new
  88. stap-2024-fine-tuning-paradox-boosting-translation
  89. su-2023-one-embedder-any-task-instruction
  90. sundararajan-2022-error-analysis-totto-table-text
  91. wang-2025-contrastscore-higher-quality-less-biased
  92. xiao-2025-machine-translation-literacy-how-lay
  93. yuksel-2022-efficient-machine-translation-corpus-generation
  94. yuksel-2023-evolvemt-ensemble-mt-engine-improving
  95. zhao-2025-can-llms-help-sun-wukong

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