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

395 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/freitag-2021-experts-errors-context-large-scale/)

Pages: **1** · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2021-experts-errors-context-large-scale-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2021-experts-errors-context-large-scale-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/freitag-2021-experts-errors-context-large-scale-4/)

1. [Assessing Quality of Experience in Natural Language Generation of German Text](https://arxiv.org/abs/2608.18888) *— 2026 · arXiv:2608.18888*
2. [Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English](https://arxiv.org/abs/2603.09998) *— 2026 · arXiv:2603.09998*
3. [Benchmarking Speech-to-Speech Translation Models](https://arxiv.org/abs/2606.03241) *— 2026 · arXiv:2606.03241*
4. [Beyond BLEU: A Case for Redefining Sign Language Translation Benchmarks](https://arxiv.org/abs/2609.03734) *— 2026 · arXiv:2609.03734*
5. [Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation Evaluation](https://aclanthology.org/2026.acl-long.205/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Can We Triage LLM Translation Errors in Classical Texts Without Human References? Source Novelty, GEMBA Scoring, and Budgeted Review through Pali-to-English Translation](https://arxiv.org/abs/2609.14963) *— 2026 · arXiv:2609.14963*
7. [Contrastive ESA: Human Evaluation of Multiple Translations at Once](https://arxiv.org/abs/2607.26640) *— 2026 · arXiv:2607.26640*
8. [Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation](https://aclanthology.org/2026.acl-industry.115/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)*
9. [Evaluating Communicative Success in Machine-Translated Conversation](https://arxiv.org/abs/2609.19885) *— 2026 · arXiv:2609.19885*
10. [Evaluating LLM-Based Translation of a Low-Resource Technical Language: The Medical and Philosophical Greek of Galen](https://arxiv.org/abs/2602.24119) *— 2026 · arXiv:2602.24119*
11. [FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation](https://aclanthology.org/2026.findings-eacl.327/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
12. [FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation](https://aclanthology.org/2026.acl-long.1757/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication](https://arxiv.org/abs/2606.01136) *— 2026 · arXiv:2606.01136*
14. [Generating Difficult-to-Translate Texts](https://aclanthology.org/2026.mme-main.14/) *— 2026 · Proceedings of the First Workshop on Multilingual Multicultural Evaluation*
15. [Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs](https://aclanthology.org/2026.tacl-1.89/) *— 2026 · Transactions of the Association for Computational Linguistics*
16. [In the Blind: Building Pseudo-References for MT Evaluation](https://arxiv.org/abs/2609.13611) *— 2026 · arXiv:2609.13611*
17. [IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages](https://arxiv.org/abs/2608.16344) *— 2026 · arXiv:2608.16344*
18. [Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation](https://arxiv.org/abs/2603.12983) *— 2026 · arXiv:2603.12983*
19. [JP-TL-Bench: Anchored Pairwise LLM Evaluation for Bidirectional Japanese-English Translation](https://arxiv.org/abs/2601.00223) *— 2026 · arXiv:2601.00223*
20. [LLM-as-a-Jury for Machine Translation Publishability Assessment](https://aclanthology.org/2026.eamt-1.7/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
21. [LQM: Linguistically Motivated Multidimensional Quality Metrics for Machine Translation](https://aclanthology.org/2026.findings-acl.2012/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
22. [Large Language Models as Annotators for Machine Translation Quality Estimation](https://arxiv.org/abs/2603.10775) *— 2026 · arXiv:2603.10775*
23. [Last Translation Benchmark](https://arxiv.org/abs/2609.04173) *— 2026 · arXiv:2609.04173*
24. [LocQE: Principled Domain Adaptation for Localisation Quality Estimation by Leveraging Post-Edits](https://arxiv.org/abs/2609.18720) *— 2026 · arXiv:2609.18720*
25. [MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation](https://aclanthology.org/2026.acl-long.1553/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [Machine translation Evaluation Eng-Thai MQM Ranking dataset](https://aclanthology.org/2026.eacl-short.41/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
27. [MetaDocEval: A Contrastive Framework for Evaluating Machine Translation Metrics at the Document-Level](https://aclanthology.org/2026.eamt-1.19/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
28. [Mind Which Bird You Favour: Parameterizing Adequacy-Fluency Balance in Meta-Evaluation of Machine Translation](https://arxiv.org/abs/2609.14795) *— 2026 · arXiv:2609.14795*
29. [Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese Translation](https://aclanthology.org/2026.eamt-1.16/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
30. [Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models](https://aclanthology.org/2026.lrec-1.738/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
31. [PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation](https://aclanthology.org/2026.acl-long.1953/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [Pearmut: Human Evaluation of Translation Made Trivial](https://arxiv.org/abs/2601.02933) *— 2026 · arXiv:2601.02933*
33. [Quantifying the Impact of Translation Errors on Multilingual LLM Evaluation](https://aclanthology.org/2026.acl-long.1916/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning Learning](https://aclanthology.org/2026.tacl-1.95/) *— 2026 · Transactions of the Association for Computational Linguistics*
35. [Referenceless Evaluation of Machine Translation Models by Ranking Performance in Romanian to English Translate-train Settings](https://aclanthology.org/2026.lrec-1.693/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
36. [Register Sensitivity in Scalar MT Evaluation: Evidence from Spanish–Basque Informal Discourse](https://aclanthology.org/2026.sigul-1.2/) *— 2026 · Proceedings of the SIGUL 2026 Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages*
37. [Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations](https://aclanthology.org/2026.findings-acl.364/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
38. [RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents](https://aclanthology.org/2026.acl-long.558/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Rubric-as-Experts: Case-Specific MQM Rubrics for Translation Error Span Detection](https://arxiv.org/abs/2606.21559) *— 2026 · arXiv:2606.21559*
40. [Should We be Pedantic About Reasoning Errors in Machine Translation?](https://arxiv.org/abs/2604.09890) *— 2026 · arXiv:2604.09890*
41. [SiniticMTError: A Machine Translation Dataset with Error Annotations for Sinitic Languages](https://aclanthology.org/2026.lrec-1.683/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
42. [Span-Level Machine Translation Meta-Evaluation](https://arxiv.org/abs/2603.19921) *— 2026 · arXiv:2603.19921*
43. [SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents](https://aclanthology.org/2026.acl-long.1437/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [TQLite: Multi-LLM Jury Guided Distillation for Real-time MQM Translation Quality Evaluation](https://arxiv.org/abs/2608.02975) *— 2026 · arXiv:2608.02975*
45. [TTLab at AlexandriaX-2026: A Fine-Tuned Surface Tagger for Arabic Machine-Translation Error-Span Detection and Classification](https://arxiv.org/abs/2609.29633) *— 2026 · arXiv:2609.29633*
46. [The Blindness of Document-Level Translation Evaluation](https://arxiv.org/abs/2609.05949) *— 2026 · arXiv:2609.05949*
47. [The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL Platform](https://aclanthology.org/2026.eamt-2.30/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)*
48. [To Write or to Automate Linguistic Prompts, That Is the Question](https://aclanthology.org/2026.eamt-1.8/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
49. [Toward domain-specific machine translation and quality estimation systems](https://arxiv.org/abs/2603.24955) *— 2026 · arXiv:2603.24955*
50. [Translation-CoT: A Human-Inspired Chain-of-Thought Framework for Multilingual LLM Translation](https://aclanthology.org/2026.amta-research.2/) *— 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
51. [Translators'' Perceptions and Edit Traces: Quality of MT as a Tool in Canadian Parliamentary Translation](https://aclanthology.org/2026.amta-research.10/) *— 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
52. [Using Model Disagreement to Identify Unstable Regions in MT Evaluation](https://aclanthology.org/2026.eamt-1.22/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
53. [What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation](https://aclanthology.org/2026.acl-long.268/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [When the Gold Standard Isn''t Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://aclanthology.org/2026.eamt-1.30/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
55. [Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains](https://aclanthology.org/2026.findings-acl.1145/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
56. [XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics](https://aclanthology.org/2026.findings-acl.1846/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
57. [``Be My Cheese?'''': Cultural Nuance Benchmarking for Machine Translation in Multilingual LLMs](https://aclanthology.org/2026.gem-main.6/) *— 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)*
58. [AI agents may be worth the hype but not the resources (yet): An initial exploration of machine translation quality and costs in three language pairs in the legal and news domains](https://arxiv.org/abs/2505.01560) *— 2025 · arXiv:2505.01560*
59. [AI-Assisted Human Evaluation of Machine Translation](https://aclanthology.org/2025.naacl-long.255/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
60. [Align-then-Slide: A complete evaluation framework for Ultra-Long Document-Level Machine Translation](https://arxiv.org/abs/2509.03809) *— 2025 · arXiv:2509.03809*
61. [Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation](https://aclanthology.org/2025.acl-long.373/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [An Empirical Analysis of Machine Translation for Expanding Multilingual Benchmarks](https://aclanthology.org/2025.wmt-1.1/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
63. [An Evaluation Resource for Grounding Translation Errors](https://aclanthology.org/2025.findings-emnlp.1299/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
64. [An Interdisciplinary Approach to Human-Centered Machine Translation](https://aclanthology.org/2025.emnlp-main.1164/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
65. [Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation](https://aclanthology.org/2025.naacl-long.111/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
66. [Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost](https://arxiv.org/abs/2510.20780) *— 2025 · arXiv:2510.20780*
67. [AskQE: Question Answering as Automatic Evaluation for Machine Translation](https://aclanthology.org/2025.findings-acl.899/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
68. [Audio-Based Crowd-Sourced Evaluation of Machine Translation Quality](https://aclanthology.org/2025.wmt-1.3/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
69. [Automatic Input Rewriting Improves Translation with Large Language Models](https://aclanthology.org/2025.naacl-long.542/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
70. [COMET-poly: Machine Translation Metric Grounded in Other Candidates](https://aclanthology.org/2025.wmt-1.63/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
71. [CSEval: Towards Automated, Multi-Dimensional, and Reference-Free Counterspeech Evaluation using Auto-Calibrated LLMs](https://aclanthology.org/2025.naacl-long.279/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
72. [Calibrating Translation Decoding with Quality Estimation on LLMs](https://arxiv.org/abs/2504.19044) *— 2025 · arXiv:2504.19044*
73. [Command-A-Translate: Raising the Bar of Machine Translation with Difficulty Filtering](https://aclanthology.org/2025.wmt-1.55/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
74. [Context-Aware Monolingual Evaluation of Machine Translation](https://aclanthology.org/2025.mtsummit-1.11/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
75. [Context-Aware Monolingual Human Evaluation of Machine Translation](https://arxiv.org/abs/2504.07685) *— 2025 · arXiv:2504.07685*
76. [Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization](https://aclanthology.org/2025.wmt-1.2/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
77. [Crosslingual Optimized Metric for Translation Assessment of Indian Languages](https://arxiv.org/abs/2509.17667) *— 2025 · arXiv:2509.17667*
78. [D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation](https://arxiv.org/abs/2504.11829) *— 2025 · arXiv:2504.11829*
79. [DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://aclanthology.org/2025.cl-2.1/) *— 2025 · Computational Linguistics*
80. [Enhancing Human Evaluation in Machine Translation with Comparative Judgement](https://aclanthology.org/2025.acl-long.1002/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
81. [Enhancing Human Evaluation in Machine Translation with Comparative Judgment](https://arxiv.org/abs/2502.17797) *— 2025 · arXiv:2502.17797*
82. [Enhancing Machine Translation with Self-Supervised Preference Data](https://aclanthology.org/2025.acl-long.1165/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Estimating Machine Translation Difficulty](https://aclanthology.org/2025.findings-emnlp.1317/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
84. [Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation](https://aclanthology.org/2025.alp-1.9/) *— 2025 · Proceedings of the Second Workshop on Ancient Language Processing*
85. [Evaluating Language Translation Models by Playing Telephone](https://aclanthology.org/2025.emnlp-main.524/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
86. [Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation](https://arxiv.org/abs/2509.20287) *— 2025 · arXiv:2509.20287*
87. [Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation](https://aclanthology.org/2025.wmt-1.16/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
88. [Findings of the IWSLT 2025 Evaluation Campaign](https://aclanthology.org/2025.iwslt-1.44/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
89. [Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets](https://aclanthology.org/2025.wmt-1.22/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
90. [Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation](https://aclanthology.org/2025.wmt-1.23/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
91. [Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help](https://aclanthology.org/2025.wmt-1.24/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
92. [Gender Bias in English-to-Greek Machine Translation](https://aclanthology.org/2025.gitt-1.2/) *— 2025 · Proceedings of the 3rd Workshop on Gender-Inclusive Translation Technologies (GITT 2025)*
93. [Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress](https://aclanthology.org/2025.acl-short.63/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
94. [HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation](https://aclanthology.org/2025.findings-emnlp.593/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
95. [How Good Are LLMs for Literary Translation, Really? Literary Translation Evaluation with Humans and LLMs](https://aclanthology.org/2025.naacl-long.548/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
96. [How Well Do Large Reasoning Models Translate? A Comprehensive Evaluation for Multi-Domain Machine Translation](https://arxiv.org/abs/2505.19987) *— 2025 · arXiv:2505.19987*
97. [How to Evaluate Speech Translation with Source-Aware Neural MT Metrics](https://arxiv.org/abs/2511.03295) *— 2025 · arXiv:2511.03295*
98. [LLMs for Low-Resource Dialect Translation Using Context-Aware Prompting: A Case Study on Sylheti](https://aclanthology.org/2025.banglalp-1.24/) *— 2025 · Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)*
99. [LiTransProQA: An LLM-based Literary Translation Evaluation Metric with Professional Question Answering](https://aclanthology.org/2025.emnlp-main.1482/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
100. [Localizing and Mitigating Errors in Long-form Question Answering](https://aclanthology.org/2025.findings-acl.1049/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*

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