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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 6

10821 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/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-5/) · **6** · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-9/) · 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35. [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)*
36. [Continued Pretraining and Interpretability-Based Evaluation for Low-Resource Languages: A Galician Case Study](https://aclanthology.org/2025.findings-acl.240/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
37. [Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework](https://arxiv.org/abs/2511.23059) *— 2025 · arXiv:2511.23059*
38. [Coreference as an indicator of context scope in multimodal narrative](https://aclanthology.org/2025.gem-1.67/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
39. [CourtEval: A Courtroom-Based Multi-Agent Evaluation Framework](https://aclanthology.org/2025.findings-acl.1327/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
40. [CourtPressGER: A German Court Decision to Press Release Summarization Dataset](https://arxiv.org/abs/2512.09434) *— 2025 · arXiv:2512.09434*
41. [Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs](https://aclanthology.org/2025.acl-long.1419/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [Cross-lingual Evaluation of Multilingual Text Generation](https://aclanthology.org/2025.coling-main.520/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
43. [Crosslingual Optimized Metric for Translation Assessment of Indian Languages](https://arxiv.org/abs/2509.17667) *— 2025 · arXiv:2509.17667*
44. [DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation](https://arxiv.org/abs/2510.09116) *— 2025 · arXiv:2510.09116*
45. [DMIS Lab at ArchEHR-QA 2025: Evidence-Grounded Answer Generation for EHR-based QA via a Multi-Agent Framework](https://aclanthology.org/2025.bionlp-share.15/) *— 2025 · Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)*
46. [DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting](https://aclanthology.org/2025.findings-emnlp.83/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
47. [DRT: Deep Reasoning Translation via Long Chain-of-Thought](https://aclanthology.org/2025.findings-acl.351/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
48. [DTW-Align: Bridging the Modality Gap in End-to-End Speech Translation with Dynamic Time Warping Alignment](https://aclanthology.org/2025.wmt-1.11/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
49. [D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation](https://arxiv.org/abs/2504.11829) *— 2025 · arXiv:2504.11829*
50. [DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization](https://aclanthology.org/2025.findings-emnlp.1209/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
51. [DeepReview: Improving LLM-based Paper Review with Human-like Deep Thinking Process](https://arxiv.org/abs/2503.08569) *— 2025 · arXiv:2503.08569*
52. [DeepSeek-R1 vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?](https://arxiv.org/abs/2504.08120) *— 2025 · arXiv:2504.08120*
53. [Definition Generation for Word Meaning Modeling: Monolingual, Multilingual, and Cross-Lingual Perspectives](https://aclanthology.org/2025.emnlp-main.1321/) *— 2025 · EMNLP 2025 (Suzhou)*
54. [Detect, Disambiguate, and Translate: On-Demand Visual Reasoning for Multimodal Machine Translation with Large Vision-Language Models](https://aclanthology.org/2025.naacl-long.74/) *— 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)*
55. [Developing A German Document-Level Parallel Dataset For Automatic Text Simplification To Generate Easy Language](https://aclanthology.org/2025.konvens-2.11/) *— 2025 · Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Workshops*
56. [DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine Translation](https://aclanthology.org/2025.cl-2.1/) *— 2025 · Computational Linguistics*
57. [Dial2MSA-Verified: A Multi-Dialect Arabic Social Media Dataset for Neural Machine Translation to Modern Standard Arabic](https://aclanthology.org/2025.wacl-1.6/) *— 2025 · Proceedings of the 4th Workshop on Arabic Corpus Linguistics (WACL-4)*
58. [Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)](https://aclanthology.org/2025.babylm-main.29/) *— 2025 · Proceedings of the First BabyLM Workshop*
59. [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)*
60. [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)*
61. [Do LLMs Really Struggle at NL-FOL Translation? Revealing their Strengths via a Novel Benchmarking Strategy](https://arxiv.org/abs/2511.11816) *— 2025 · arXiv:2511.11816 · Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 40. No. 36. 2026*
62. [Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs](https://aclanthology.org/2025.acl-long.193/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [DocHPLT: A Massively Multilingual Document-Level Translation Dataset](https://aclanthology.org/2025.wmt-1.17/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
64. [Does Generative AI speak Nigerian-Pidgin?: Issues about Representativeness and Bias for Multilingualism in LLMs](https://aclanthology.org/2025.findings-naacl.85/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
65. [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*
66. [Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models](https://aclanthology.org/2025.findings-acl.1161/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
67. [Effects of automatic alignment on speech translation metrics](https://aclanthology.org/2025.iwslt-1.7/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
68. [Efficient On-Device Text Simplification for Firefox with Synthetic Data Fine-Tuning](https://aclanthology.org/2025.tsar-1.7/) *— 2025 · Proceedings of the Fourth Workshop on Text Simplification, Accessibility and Readability (TSAR 2025)*
69. [Efficient Speech Translation through Model Compression and Knowledge Distillation](https://arxiv.org/abs/2505.20237) *— 2025 · arXiv:2505.20237 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
70. [Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents](https://aclanthology.org/2025.acl-long.488/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation](https://aclanthology.org/2025.findings-emnlp.1096/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
72. [EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models](https://aclanthology.org/2025.findings-emnlp.913/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
73. [English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports](https://arxiv.org/abs/2502.14338) *— 2025 · arXiv:2502.14338*
74. [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)*
75. [Enhancing Human Evaluation in Machine Translation with Comparative Judgment](https://arxiv.org/abs/2502.17797) *— 2025 · arXiv:2502.17797*
76. [Enhancing Large Language Models for Document-Level Translation Post-Editing Using Monolingual Data](https://aclanthology.org/2025.coling-main.591/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
77. [Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data](https://arxiv.org/abs/2506.02018) *— 2025 · arXiv:2506.02018*
78. [Enriching Patent Claim Generation with European Patent Dataset](https://aclanthology.org/2025.findings-emnlp.408/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
79. [Establishing Best Practices for Building Rigorous Agentic Benchmarks](https://arxiv.org/abs/2507.02825) *— 2025 · arXiv:2507.02825*
80. [Evaluating Autoformalization Robustness via Semantically Similar Paraphrasing](https://arxiv.org/abs/2511.12784) *— 2025 · arXiv:2511.12784*
81. [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*
82. [Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability](https://arxiv.org/abs/2501.09158) *— 2025 · arXiv:2501.09158*
83. [Evaluating LLMs for Portuguese Sentence Simplification with Linguistic Insights](https://aclanthology.org/2025.acl-long.1193/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [Evaluating LLMs on Chinese Idiom Translation](https://arxiv.org/abs/2508.10421) *— 2025 · arXiv:2508.10421*
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. [Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users](https://aclanthology.org/2025.acl-long.1260/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance](https://aclanthology.org/2025.naacl-long.253/) *— 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)*
88. [Evaluating Structural and Linguistic Quality in Urdu DRS Parsing and Generation through Bidirectional Evaluation](https://aclanthology.org/2025.indonlp-1.4/) *— 2025 · Proceedings of the First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages*
89. [Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics?](https://aclanthology.org/2025.naacl-srw.41/) *— 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)*
90. [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*
91. [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)*
92. [Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual Disabilities](https://arxiv.org/abs/2507.01479) *— 2025 · arXiv:2507.01479*
93. [Evaluating the Evaluation of Diversity in Commonsense Generation](https://aclanthology.org/2025.acl-long.1181/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [Evaluating the Feasibility of Using ChatGPT for Cross-cultural Survey Translation](https://aclanthology.org/2025.konvens-1.16/) *— 2025 · Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers*
95. [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*
96. [Evaluating the Long-Term Memory of Large Language Models](https://aclanthology.org/2025.findings-acl.1014/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
97. [Evaluation Framework for Layered Meaning Representation](https://aclanthology.org/2025.dmr-1.5/) *— 2025 · Proceedings of the Sixth International Workshop on Designing Meaning Representations*
98. [Evaluation Under Imperfect Benchmarks and Ratings: A Case Study in Text Simplification](https://arxiv.org/abs/2504.09394) *— 2025 · arXiv:2504.09394*
99. [Evaluation of LLM for English to Hindi Legal Domain Machine Translation Systems](https://aclanthology.org/2025.wmt-1.57/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
100. [ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation](https://aclanthology.org/2025.findings-acl.900/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*

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