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# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 2

1093 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/popovic-2015-chrf-character-n-gram-f/)

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1. [Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows](https://aclanthology.org/2026.eamt-1.37/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
2. [Translation Is Not Representation: English-Hub Routing in Cross-Lingual Bias Benchmarks](https://aclanthology.org/2026.stereacult-1.11/) *— 2026 · Proceedings of the 1st Workshop on Stereotypes Across Cultures in Language Technologies (StereACuLT 2026)*
3. [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)*
4. [Unified Multi-Dialectal Neural Machine Translation for Bangla Using the Dwadash Benchmark Corpus](https://arxiv.org/abs/2608.12018) *— 2026 · arXiv:2608.12018*
5. [Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding](https://aclanthology.org/2026.eacl-long.220/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [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*
7. [A Benchmark for Translations Across Styles and Language Variants](https://aclanthology.org/2025.findings-emnlp.129/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
8. [A Comparative Analysis of Retrieval-Augmented Generation Techniques for Bengali Standard-to-Dialect Machine Translation Using LLMs](https://aclanthology.org/2025.banglalp-1.22/) *— 2025 · Proceedings of the Second Workshop on Bangla Language Processing (BLP-2025)*
9. [A Cross-Lingual Perspective on Neural Machine Translation Difficulty](https://aclanthology.org/2025.wmt-1.21/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
10. [A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment](https://aclanthology.org/2025.unlp-1.9/) *— 2025 · Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)*
11. [A Representation Level Analysis of NMT Model Robustness to Grammatical Errors](https://aclanthology.org/2025.findings-acl.451/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
12. [AFRIDOC-MT: Document-level MT Corpus for African Languages](https://aclanthology.org/2025.emnlp-main.1413/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
13. [AI-Driven Generation of Old English: A Framework for Low-Resource Languages](https://md.mova.elamur.ai/free/en/docs/papers/alva-2025-ai-driven-generation-old-english/) *— our card · 2025 · arXiv:2507.20111*
14. [AL-QASIDA: Analyzing LLM Quality and Accuracy Systematically in Dialectal Arabic](https://aclanthology.org/2025.findings-acl.1137/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
15. [Adapting IndicTrans2 for Legal Domain MT via QLoRA Fine-Tuning at JUST-NLP 2025](https://aclanthology.org/2025.justnlp-main.15/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
16. [Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation](https://aclanthology.org/2025.tacl-1.60/) *— 2025 · Transactions of the Association for Computational Linguistics*
17. [Alligators All Around: Mitigating Lexical Confusion in Low-resource Machine Translation](https://aclanthology.org/2025.naacl-short.18/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
18. [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)*
19. [Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability](https://aclanthology.org/2025.emnlp-main.166/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
20. [Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost](https://arxiv.org/abs/2510.20780) *— 2025 · arXiv:2510.20780*
21. [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*
22. [Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect](https://aclanthology.org/2025.loreslm-1.2/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
23. [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)*
24. [Balancing Translation Quality and Environmental Impact: Comparing Large and Small Language Models](https://aclanthology.org/2025.clicit-1.20/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
25. [Bayelemabaga: Creating Resources for Bambara NLP](https://aclanthology.org/2025.naacl-long.602/) *— 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)*
26. [Benchmarking Critical Questions Generation: A Challenging Reasoning Task for Large Language Models](https://aclanthology.org/2025.findings-emnlp.302/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
27. [Benchmarking IsiXhosa Automatic Speech Recognition and Machine Translation for Digital Health Provision](https://aclanthology.org/2025.cl4health-1.14/) *— 2025 · Proceedings of the Second Workshop on Patient-Oriented Language Processing (CL4Health)*
28. [Beyond Generalization :Evaluating Multilingual LLMs for Yorùbá Animal Health Translation](https://aclanthology.org/2025.africanlp-1.28/) *— 2025 · Proceedings of the Sixth Workshop on African Natural Language Processing (AfricaNLP 2025)*
29. [Beyond Text Compression: Evaluating Tokenizers Across Scales](https://aclanthology.org/2025.acl-long.1546/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Breaking the Silence: A Dataset and Benchmark for Bangla Text-to-Gloss Translation](https://arxiv.org/abs/2504.02293) *— 2025 · arXiv:2504.02293*
31. [COCO-Urdu: A Large-Scale Urdu Image-Caption Dataset with Multimodal Quality Estimation](https://arxiv.org/abs/2509.09014) *— 2025 · arXiv:2509.09014*
32. [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*
33. [COMI-LINGUA: Expert Annotated Large-Scale Dataset for Multitask NLP in Hindi-English Code-Mixing](https://aclanthology.org/2025.findings-emnlp.422/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
34. [CUNI and Phrase at WMT25 MT Evaluation Task](https://aclanthology.org/2025.wmt-1.68/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
35. [Calibrating Translation Decoding with Quality Estimation on LLMs](https://arxiv.org/abs/2504.19044) *— 2025 · arXiv:2504.19044*
36. [Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context Learning](https://aclanthology.org/2025.coling-main.681/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
37. [Can LLMs Translate Cultural Nuance in Dialects? A Case Study on Lebanese Arabic](https://aclanthology.org/2025.abjadnlp-1.13/) *— 2025 · Proceedings of the 1st Workshop on NLP for Languages Using Arabic Script*
38. [Can Uniform Meaning Representation Help GPT-4 Translate from Indigenous Languages?](https://aclanthology.org/2025.acl-short.23/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
39. [Claim veracity assessment for explainable fake news detection](https://aclanthology.org/2025.coling-main.270/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
40. [Context Is Ubiquitous, but Rarely Changes Judgments: Revisiting Document-Level MT Evaluation](https://aclanthology.org/2025.wmt-1.5/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
41. [Context-Aware or Context-Insensitive? Assessing LLMs' Performance in Document-Level Translation](https://aclanthology.org/2025.mtsummit-1.10/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
42. [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*
43. [Continual Learning in Multilingual Sign Language Translation](https://aclanthology.org/2025.naacl-long.546/) *— 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)*
44. [Crosslingual Optimized Metric for Translation Assessment of Indian Languages](https://arxiv.org/abs/2509.17667) *— 2025 · arXiv:2509.17667*
45. [DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation](https://arxiv.org/abs/2510.09116) *— 2025 · arXiv:2510.09116*
46. [D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation](https://arxiv.org/abs/2504.11829) *— 2025 · arXiv:2504.11829*
47. [DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://aclanthology.org/2025.cl-2.1/) *— 2025 · Computational Linguistics*
48. [DiPT: Enhancing LLM Reasoning through Diversified Perspective-Taking](https://aclanthology.org/2025.findings-naacl.356/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
49. [Dialectal and Low Resource Machine Translation for Aromanian](https://aclanthology.org/2025.coling-main.481/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
50. [Did Translation Models Get More Robust Without Anyone Even Noticing?](https://aclanthology.org/2025.acl-long.122/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [DiscoX: Benchmarking Discourse-Level Translation task in Expert Domains](https://arxiv.org/abs/2511.10984) *— 2025 · arXiv:2511.10984*
52. [Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding](https://aclanthology.org/2025.acl-long.1410/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering](https://arxiv.org/abs/2504.07583) *— 2025 · arXiv:2504.07583*
54. [Don''t Teach Minerva": Guiding LLMs Through Complex Syntax for Faithful Latin Translation with RAG](https://arxiv.org/abs/2511.01454) *— 2025 · arXiv:2511.01454*
55. [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*
56. [Evaluating Synthetic Data Generation from User Generated Text](https://aclanthology.org/2025.cl-1.6/) *— 2025 · Computational Linguistics*
57. [Evaluating WMT 2025 Metrics Shared Task Submissions on the SSA-MTE African Challenge Set](https://aclanthology.org/2025.wmt-1.65/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
58. [Evaluating and Improving Graph to Text Generation with Large Language Models](https://aclanthology.org/2025.naacl-long.513/) *— 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)*
59. [Evaluating the LLM and NMT Models in Translating Low-Resourced Languages](https://aclanthology.org/2025.r2lm-1.13/) *— 2025 · Proceedings of the First Workshop on Comparative Performance Evaluation: From Rules to Language Models*
60. [Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader](https://aclanthology.org/2025.wmt-1.79/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
61. [Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective](https://md.mova.elamur.ai/free/en/docs/papers/amin-2025-exploiting-task-reversibility-drs-parsing/) *— our card · 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
62. [Extending Automatic Machine Translation Evaluation to Book-Length Documents](https://aclanthology.org/2025.emnlp-main.1645/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
63. [Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing](https://aclanthology.org/2025.mtsummit-1.40/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
64. [FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages](https://aclanthology.org/2025.americasnlp-1.8/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
65. [Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain](https://aclanthology.org/2025.wmt-1.9/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
66. [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*
67. [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*
68. [Findings of WMT 2025 Shared Task on Low-resource Indic Languages Translation](https://aclanthology.org/2025.wmt-1.29/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
69. [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)*
70. [Findings of the WMT 2025 Shared Task LLMs with Limited Resources for Slavic Languages: MT and QA](https://aclanthology.org/2025.wmt-1.27/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
71. [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*
72. [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*
73. [Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation](https://aclanthology.org/2025.naacl-srw.1/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
74. [Fine-tuning and evaluation of NMT models for literary texts using RomCro v.2.0](https://aclanthology.org/2025.ctt-1.4/) *— 2025 · Proceedings of the Second Workshop on Creative-text Translation and Technology (CTT)*
75. [From Priest to Doctor: Domain Adaptation for Low-Resource Neural Machine Translation](https://aclanthology.org/2025.coling-main.472/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
76. [From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.20/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
77. [GRAMMAR-LLM: Grammar-Constrained Natural Language Generation](https://aclanthology.org/2025.findings-acl.177/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
78. [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)*
79. [How to Evaluate Speech Translation with Source-Aware Neural MT Metrics](https://arxiv.org/abs/2511.03295) *— 2025 · arXiv:2511.03295*
80. [How to Select Datapoints for Efficient Human Evaluation of NLG Models?](https://aclanthology.org/2025.tacl-1.80/) *— 2025 · Transactions of the Association for Computational Linguistics*
81. [INDIC QA BENCHMARK: A Multilingual Benchmark to Evaluate Question Answering capability of LLMs for Indic Languages](https://aclanthology.org/2025.findings-naacl.141/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
82. [Inductive Linguistic Reasoning with Large Language Models](https://aclanthology.org/2025.findings-acl.1171/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
83. [Instruction-tuned Large Language Models for Machine Translation in the Medical Domain](https://aclanthology.org/2025.mtsummit-1.13/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
84. [Interdisciplinary Research in Conversation: A Case Study in Computational Morphology for Language Documentation](https://aclanthology.org/2025.emnlp-main.568/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
85. [Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn''t Help with MT Evaluation](https://aclanthology.org/2025.mtsummit-1.20/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
86. [Investigating Length Issues in Document-level Machine Translation](https://aclanthology.org/2025.mtsummit-1.3/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
87. [JHU's Submission to the AmericasNLP 2025 Shared Task on the Creation of Educational Materials for Indigenous Languages](https://aclanthology.org/2025.americasnlp-1.12/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
88. [KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding](https://aclanthology.org/2025.findings-acl.1135/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
89. [LLM as a Broken Telephone: Iterative Generation Distorts Information](https://aclanthology.org/2025.acl-long.371/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based Methods](https://arxiv.org/abs/2505.16129) *— 2025 · arXiv:2505.16129*
91. [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)*
92. [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*
93. [Leveraging Visual Scene Graph to Enhance Translation Quality in Multimodal Machine Translation](https://aclanthology.org/2025.mtsummit-1.27/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
94. [Long-context Reference-based MT Quality Estimation](https://aclanthology.org/2025.wmt-1.64/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
95. [Low-Resource Transliteration for Roman-Urdu and Urdu Using Transformer-Based Models](https://arxiv.org/abs/2503.21530) *— 2025 · arXiv:2503.21530*
96. [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)*
97. [MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants](https://aclanthology.org/2025.wmt-1.69/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
98. [MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning](https://aclanthology.org/2025.findings-emnlp.1015/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
99. [Machine Translation Metrics for Indigenous Languages Using Fine-tuned Semantic Embeddings](https://aclanthology.org/2025.americasnlp-1.11/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
100. [MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task](https://aclanthology.org/2025.wmt-1.70/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*

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