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# Who cites «Multidimensional quality metrics: a flexible system for assessing translation quality»

87 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/lommel-2013-multidimensional-quality-metrics-flexible-system/)

1. [Advancing interdisciplinarity in empirical translation research](https://doi.org/10.5281/zenodo.22148115) *— 2026 · edited-volume*
2. [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)*
3. [Beyond Scalar Scores: Reinforcement Learning for Error-Aware Quality Estimation of Machine Translation](https://arxiv.org/abs/2602.08600) *— 2026 · arXiv:2602.08600*
4. [CompactQE: Interpretable Translation Quality Estimation via Small Open-Weight LLMs](https://aclanthology.org/2026.eamt-1.9/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
5. [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)*
6. [Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite](https://aclanthology.org/2026.lrec-1.710/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
7. [Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios](https://aclanthology.org/2026.loreslm-1.55/) *— 2026 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)*
8. [Evaluating Communicative Success in Machine-Translated Conversation](https://arxiv.org/abs/2609.19885) *— 2026 · arXiv:2609.19885*
9. [Evaluating Terminology Translation Methods](https://aclanthology.org/2026.eamt-1.28/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
10. [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)*
11. [GAIA-v2-LILT: Multilingual Adaptation of Agent Benchmark beyond Translation](https://aclanthology.org/2026.mellm-1.13/) *— 2026 · Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026)*
12. [Headlines You Won''t Forget: Can Pronoun Insertion Increase Memorability?](https://aclanthology.org/2026.cmcl-1.14/) *— 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics*
13. [Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation](https://aclanthology.org/2026.lrec-1.688/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
14. [Large Language Models as Annotators for Machine Translation Quality Estimation](https://arxiv.org/abs/2603.10775) *— 2026 · arXiv:2603.10775*
15. [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)*
16. [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*
17. [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)*
18. [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)*
19. [Towards the First NLP Benchmark for Ladin - an Extremely Low-Resource Language](https://aclanthology.org/2026.findings-eacl.55/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
20. [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)*
21. [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)*
22. [Unified Multi-Dialectal Neural Machine Translation for Bangla Using the Dwadash Benchmark Corpus](https://arxiv.org/abs/2608.12018) *— 2026 · arXiv:2608.12018*
23. [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*
24. [(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts](https://aclanthology.org/2025.tacl-1.42/) *— 2025 · Transactions of the Association for Computational Linguistics*
25. [ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models](https://arxiv.org/abs/2508.07484) *— 2025 · arXiv:2508.07484*
26. [Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost](https://arxiv.org/abs/2510.20780) *— 2025 · arXiv:2510.20780*
27. [CUNI and Phrase at WMT25 MT Evaluation Task](https://aclanthology.org/2025.wmt-1.68/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
28. [Context-Informed Machine Translation of Manga using Multimodal Large Language Models](https://aclanthology.org/2025.coling-main.232/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
29. [DHP Benchmark: Are LLMs Good NLG Evaluators?](https://aclanthology.org/2025.findings-naacl.451/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
30. [D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation](https://arxiv.org/abs/2504.11829) *— 2025 · arXiv:2504.11829*
31. [GAMBIT+: A Challenge Set for Evaluating Gender Bias in Machine Translation Quality Estimation Metrics](https://aclanthology.org/2025.wmt-1.19/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
32. [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)*
33. [Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark](https://aclanthology.org/2025.emnlp-main.1018/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
34. [Limited-Resource Adapters Are Regularizers, Not Linguists](https://aclanthology.org/2025.acl-short.19/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
35. [M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation](https://aclanthology.org/2025.acl-long.351/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [MEMERAG: A Multilingual End-to-End Meta-Evaluation Benchmark for Retrieval Augmented Generation](https://aclanthology.org/2025.acl-long.1101/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [MQM-Chat: Multidimensional Quality Metrics for Chat Translation](https://aclanthology.org/2025.coling-main.221/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
38. [MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models](https://aclanthology.org/2025.ccl-1.67/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
39. [OpenWHO: A Document-Level Parallel Corpus for Health Translation in Low-Resource Languages](https://arxiv.org/abs/2508.16048) *— 2025 · arXiv:2508.16048*
40. [QE4PE: Word-level Quality Estimation for Human Post-Editing](https://aclanthology.org/2025.tacl-1.64/) *— 2025 · Transactions of the Association for Computational Linguistics*
41. [Specification-Aware Machine Translation and Evaluation for Purpose Alignment](https://aclanthology.org/2025.wmt-1.7/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
42. [Style Over Substance: Evaluation Biases for Large Language Models](https://aclanthology.org/2025.coling-main.21/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
43. [TRANSLATIONCORRECT: A Unified Framework for Machine Translation Post-Editing with Predictive Error Assistance](https://aclanthology.org/2025.acl-demo.53/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
44. [Towards A ``Novel'''' Benchmark: Evaluating Literary Fiction with Large Language Models](https://aclanthology.org/2025.findings-acl.1114/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
45. [TransBench: Benchmarking Machine Translation for Industrial-Scale Applications](https://arxiv.org/abs/2505.14244) *— 2025 · arXiv:2505.14244*
46. [Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations](https://aclanthology.org/2025.mtsummit-1.42/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
47. [Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation](https://aclanthology.org/2025.acl-long.1228/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content](https://aclanthology.org/2024.wmt-1.113/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
49. [Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content?](https://aclanthology.org/2024.wat-1.4/) *— 2024 · Proceedings of the Eleventh Workshop on Asian Translation (WAT 2024)*
50. [COMET for Low-Resource Machine Translation Evaluation: A Case Study of English-Maltese and Spanish-Basque](https://aclanthology.org/2024.lrec-main.315/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
51. [Can Automatic Metrics Assess High-Quality Translations?](https://aclanthology.org/2024.emnlp-main.802/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
52. [ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models](https://aclanthology.org/2024.acl-long.63/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation](https://arxiv.org/abs/2401.05176) *— 2024 · arXiv:2401.05176*
54. [Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation](https://aclanthology.org/2024.wmt-1.131/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
55. [Evaluating Machine Translation for Emotion-loaded User Generated Content (TransEval4Emo-UGC)](https://aclanthology.org/2024.eamt-2.22/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 2)*
56. [Large Language Models as Legal Translators of Arabic Legislation: Do ChatGPT and Gemini Care for Context and Terminology?](https://aclanthology.org/2024.arabicnlp-1.10/) *— 2024 · Proceedings of the Second Arabic Natural Language Processing Conference*
57. [MSLC24: Further Challenges for Metrics on a Wide Landscape of Translation Quality](https://aclanthology.org/2024.wmt-1.34/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
58. [MT-Ranker: Reference-free machine translation evaluation by inter-system ranking](https://arxiv.org/abs/2401.17099) *— 2024 · arXiv:2401.17099*
59. [Post-edits Are Preferences Too](https://aclanthology.org/2024.wmt-1.122/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
60. [Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding Are Both the Problem](https://aclanthology.org/2024.wmt-1.125/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
61. [Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering](https://aclanthology.org/2024.findings-acl.308/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
62. [What do Large Language Models Need for Machine Translation Evaluation?](https://aclanthology.org/2024.emnlp-main.214/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
63. [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
64. [Metric Score Landscape Challenge (MSLC23): Understanding Metrics'' Performance on a Wider Landscape of Translation Quality](https://aclanthology.org/2023.wmt-1.65/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
65. [Semantically-Informed Regressive Encoder Score](https://aclanthology.org/2023.wmt-1.69/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
66. [The Role of Compounds in Human vs. Machine Translation Quality](https://aclanthology.org/2023.mtsummit-research.21/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
67. [DEMETR: Diagnosing Evaluation Metrics for Translation](https://aclanthology.org/2022.emnlp-main.649/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
68. [Document-level Neural MT: A Systematic Comparison](https://aclanthology.org/2020.eamt-1.24/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
69. buma-2025-two-step-automatic-post-editing
70. carrino-2026-jobresqa-semi-automatic-multilingual-benchmark
71. castaldo-2024-setu-adapt-submission-wmt-24
72. chan-2026-xtom-exploring-multilingual-theory-mind
73. hiebl-2023-quality-human-machine-translation-interdisciplinary
74. javorsky-2025-mockconf-student-interpretation-dataset-analysis
75. liu-2024-evaluation-briefs-drawing-translation-studies
76. macaire-2024-approches-cascade-et-de-bout
77. macaire-2024-multimodal-french-corpus-aligned-speech
78. marmonier-2025-french-version-oldi-seed-corpus
79. martinez-2016-subco-learner-translation-corpus-human
80. matamala-2015-alst-project-technologies-audiovisual-translation
81. miltenburg-2024-reprohum-0033-03-how-reproducible
82. nedey-2025-la-traduction-automatique-dialectale-etat
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84. rios-2024-bayesian-hierarchical-modelling-analysing-effect
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86. singh-2025-leveraging-cross-domain-cross-linguistic
87. sosa-2025-rubrik-s-cube-testing-new
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