---
title: "Who cites Bleu: a Method for Automatic Evaluation of…"
description: "The papers of the Elamur Research library that cite «Bleu: a Method for Automatic Evaluation of Machine Translation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/35/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 35

10821 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [34](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/34/) · **35** · [36](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/36/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [COMET-M: Reasoning about Multiple Events in Complex Sentences](https://aclanthology.org/2023.findings-emnlp.861/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
2. [CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code](https://aclanthology.org/2023.emnlp-main.911/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
3. [CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types](https://aclanthology.org/2023.emnlp-main.241/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
4. [CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation](https://aclanthology.org/2023.findings-emnlp.519/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
5. [CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm](https://aclanthology.org/2023.wmt-1.8/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
6. [CURED4NLG: A Dataset for Table-to-Text Generation](https://aclanthology.org/2023.ldk-1.39/) *— 2023 · Proceedings of the 4th Conference on Language, Data and Knowledge*
7. [Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference !](https://aclanthology.org/2023.findings-acl.721/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
8. [Can Knowledge Graphs Simplify Text?](https://arxiv.org/abs/2308.06975) *— 2023 · arXiv:2308.06975*
9. [Can Language Models Employ the Socratic Method? Experiments with Code Debugging](https://arxiv.org/abs/2310.03210) *— 2023 · arXiv:2310.03210*
10. [Can Synthetic Text Help Clinical Named Entity Recognition? A Study of Electronic Health Records in French](https://aclanthology.org/2023.eacl-main.170/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
11. [Can you Summarize my learnings? Towards Perspective-based Educational Dialogue Summarization](https://aclanthology.org/2023.findings-emnlp.208/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
12. [Care4Lang at MEDIQA-Chat 2023: Fine-tuning Language Models for Classifying and Summarizing Clinical Dialogues](https://aclanthology.org/2023.clinicalnlp-1.55/) *— 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop*
13. [Causal Document-Grounded Dialogue Pre-training](https://aclanthology.org/2023.emnlp-main.443/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [CausalDialogue: Modeling Utterance-level Causality in Conversations](https://aclanthology.org/2023.findings-acl.792/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
15. [Causes and Cures for Interference in Multilingual Translation](https://aclanthology.org/2023.acl-long.883/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Challenges in Context-Aware Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.943/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
17. [Challenges of Human vs Machine Translation of Emotion-Loaded Chinese Microblog Texts](https://aclanthology.org/2023.mtsummit-users.21/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
18. [Characterizing and Measuring Linguistic Dataset Drift](https://aclanthology.org/2023.acl-long.498/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [ChatEdit: Towards Multi-turn Interactive Facial Image Editing via Dialogue](https://aclanthology.org/2023.emnlp-main.899/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
20. [ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate](https://arxiv.org/abs/2308.07201) *— 2023 · arXiv:2308.07201*
21. [ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://aclanthology.org/2023.wmt-1.40/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
22. [ChatGPT vs Human-authored Text: Insights into Controllable Text Summarization and Sentence Style Transfer](https://arxiv.org/abs/2306.07799) *— 2023 · arXiv:2306.07799*
23. [ChatGPT-Powered Tourist Aid Applications: Proficient in Hindi, Yet To Master Telugu and Kannada](https://aclanthology.org/2023.dravidianlangtech-1.13/) *— 2023 · Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages*
24. [Cheating to Identify Hard Problems for Neural Machine Translation](https://aclanthology.org/2023.findings-eacl.120/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
25. [Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback](https://arxiv.org/abs/2302.12813) *— 2023 · arXiv:2302.12813*
26. [Chinese Idiom Paraphrasing](https://aclanthology.org/2023.tacl-1.43/) *— 2023 · Transactions of the Association for Computational Linguistics*
27. [Choosing What to Mask: More Informed Masking for Multimodal Machine Translation](https://aclanthology.org/2023.acl-srw.35/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
28. [Claim Optimization in Computational Argumentation](https://aclanthology.org/2023.inlg-main.10/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
29. [ClarifyDelphi: Reinforced Clarification Questions with Defeasibility Rewards for Social and Moral Situations](https://aclanthology.org/2023.acl-long.630/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive Evaluation](https://arxiv.org/abs/2306.09968) *— 2023 · arXiv:2306.09968*
31. [ClozEx: A Task toward Generation of English Cloze Explanation](https://aclanthology.org/2023.findings-emnlp.347/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
32. [CoMix: Guide Transformers to Code-Mix using POS structure and Phonetics](https://aclanthology.org/2023.findings-acl.506/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
33. [Code-Switched Text Synthesis in Unseen Language Pairs](https://aclanthology.org/2023.findings-acl.318/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
34. [CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code](https://aclanthology.org/2023.emnlp-main.859/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
35. [CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X](https://arxiv.org/abs/2303.17568) *— 2023 · arXiv:2303.17568*
36. [CodePrompt: Task-Agnostic Prefix Tuning for Program and Language Generation](https://aclanthology.org/2023.findings-acl.325/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
37. [CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation](https://aclanthology.org/2023.findings-emnlp.337/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
38. [Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction](https://aclanthology.org/2023.acl-long.555/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Coherence and Diversity through Noise: Self-Supervised Paraphrase Generation via Structure-Aware Denoising](https://arxiv.org/abs/2302.02780) *— 2023 · arXiv:2302.02780*
40. [Coherent Story Generation with Structured Knowledge](https://aclanthology.org/2023.ranlp-1.74/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
41. [CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models](https://aclanthology.org/2023.emnlp-main.180/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
42. [Comparing DAE-based and MASS-based UNMT: Robustness to Word-Order Divergence in English–\ensuremath>Indic Language Pairs](https://aclanthology.org/2023.icon-1.44/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
43. [Comparing Neural Question Generation Architectures for Reading Comprehension](https://aclanthology.org/2023.bea-1.47/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
44. [Compositional Generalization for Data-to-Text Generation](https://aclanthology.org/2023.findings-emnlp.623/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
45. [Compressing Context to Enhance Inference Efficiency of Large Language Models](https://aclanthology.org/2023.emnlp-main.391/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
46. [Computational Language Acquisition with Theory of Mind](https://arxiv.org/abs/2303.01502) *— 2023 · arXiv:2303.01502*
47. [Concept-based Persona Expansion for Improving Diversity of Persona-Grounded Dialogue](https://aclanthology.org/2023.eacl-main.252/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
48. [Condensing Multilingual Knowledge with Lightweight Language-Specific Modules](https://aclanthology.org/2023.emnlp-main.97/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
49. [Conditioning on Dialog Acts improves Empathy Style Transfer](https://aclanthology.org/2023.findings-emnlp.884/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
50. [Considerations for meaningful sign language machine translation based on glosses](https://aclanthology.org/2023.acl-short.60/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
51. [Consistency Regularization Training for Compositional Generalization](https://aclanthology.org/2023.acl-long.72/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [Consistent Text Categorization using Data Augmentation in e-Commerce](https://aclanthology.org/2023.acl-industry.30/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)*
53. [Consolidating Strategies for Countering Hate Speech Using Persuasive Dialogues](https://aclanthology.org/2023.icon-1.30/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
54. [Constructing Pseudo-parallel Swedish Sentence Corpora for Automatic Text Simplification](https://aclanthology.org/2023.nodalida-1.13/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
55. [Construction of Message Deliver Service Dialog Systems](https://aclanthology.org/2023.rocling-1.4/) *— 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)*
56. [Context-Aware Document Simplification](https://aclanthology.org/2023.findings-acl.834/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
57. [Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues](https://aclanthology.org/2023.mtsummit-research.23/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
58. [Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems](https://aclanthology.org/2023.eacl-main.226/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
59. [Contextual Knowledge Learning for Dialogue Generation](https://aclanthology.org/2023.acl-long.433/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [Contextualized Semantic Distance between Highly Overlapped Texts](https://aclanthology.org/2023.findings-acl.694/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
61. [Continual Knowledge Distillation for Neural Machine Translation](https://aclanthology.org/2023.acl-long.443/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Contrastive Learning for Inference in Dialogue](https://aclanthology.org/2023.emnlp-main.631/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
63. [Controllability for English-Ukrainian Machine Translation Based on Specialized Corpora](https://aclanthology.org/2023.multi3generation-1.1/) *— 2023 · Proceedings of the 1st International Workshop on Multilingual, Multimodal and Multitask Language Generation*
64. [Controllable Active-Passive Voice Generation using Prefix Tuning](https://aclanthology.org/2023.ranlp-stud.3/) *— 2023 · Proceedings of the 8th Student Research Workshop associated with the International Conference Recent Advances in Natural Language Processing*
65. [Controllable Chest X-Ray Report Generation from Longitudinal Representations](https://aclanthology.org/2023.findings-emnlp.325/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
66. [Controllable Generation of Dialogue Acts for Dialogue Systems via Few-Shot Response Generation and Ranking](https://aclanthology.org/2023.sigdial-1.32/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
67. [Controlling Equational Reasoning in Large Language Models with Prompt Interventions](https://arxiv.org/abs/2307.09998) *— 2023 · arXiv:2307.09998*
68. [ConvRGX: Recognition, Generation, and Extraction for Self-trained Conversational Question Answering](https://aclanthology.org/2023.dialdoc-1.10/) *— 2023 · Proceedings of the Third DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering*
69. [Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations](https://aclanthology.org/2023.emnlp-main.838/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
70. [Correction of Errors in Preference Ratings from Automated Metrics for Text Generation](https://aclanthology.org/2023.findings-acl.404/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
71. [Counter Turing Test (CT\texttwosuperior): AI-Generated Text Detection is Not as Easy as You May Think - Introducing \textitAI Detectability Index](https://aclanthology.org/2023.emnlp-main.136/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
72. [Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation](https://aclanthology.org/2023.emnlp-main.172/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
73. [CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation](https://arxiv.org/abs/2311.18702) *— 2023 · arXiv:2311.18702*
74. [Cross-Lingual Dialogue Dataset Creation via Outline-Based Generation](https://aclanthology.org/2023.tacl-1.9/) *— 2023 · Transactions of the Association for Computational Linguistics*
75. [Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning](https://aclanthology.org/2023.acl-long.890/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [Cross-modality Data Augmentation for End-to-End Sign Language Translation](https://aclanthology.org/2023.findings-emnlp.904/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
77. [Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment](https://aclanthology.org/2023.acl-long.146/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs](https://aclanthology.org/2023.acl-long.143/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [DATScore: Evaluating Translation with Data Augmented Translations](https://aclanthology.org/2023.findings-eacl.69/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
80. [DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation](https://aclanthology.org/2023.findings-acl.896/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
81. [DEplain: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification](https://aclanthology.org/2023.acl-long.908/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [DIVE: Towards Descriptive and Diverse Visual Commonsense Generation](https://aclanthology.org/2023.emnlp-main.601/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
83. [DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies](https://aclanthology.org/2023.findings-acl.744/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
84. [DP-BART for Privatized Text Rewriting under Local Differential Privacy](https://aclanthology.org/2023.findings-acl.874/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
85. [DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models](https://aclanthology.org/2023.acl-long.456/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [DUTNLP System for the WMT2023 Discourse-Level Literary Translation](https://aclanthology.org/2023.wmt-1.31/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
87. [DWIE-FR : Un nouveau jeu de données en français annoté en entités nommées](https://aclanthology.org/2023.jeptalnrecital-short.7/) *— 2023 · Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 2 : travaux de recherche originaux – articles courts*
88. [Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA](https://aclanthology.org/2023.emnlp-main.211/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
89. [Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study](https://aclanthology.org/2023.findings-emnlp.11/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
90. [Data Augmentation for Code Translation with Comparable Corpora and Multiple References](https://aclanthology.org/2023.findings-emnlp.917/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
91. [Data Augmentation for Radiology Report Simplification](https://aclanthology.org/2023.findings-eacl.144/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
92. [Data Augmentation for SentRev using Back-Translation of Lexical Bundles](https://aclanthology.org/2023.paclic-1.7/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
93. [Data Augmentation with Diversified Rephrasing for Low-Resource Neural Machine Translation](https://aclanthology.org/2023.mtsummit-research.4/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
94. [Data Contamination Through the Lens of Time](https://arxiv.org/abs/2310.10628) *— 2023 · arXiv:2310.10628*
95. [Data Sampling and (In)stability in Machine Translation Evaluation](https://aclanthology.org/2023.findings-acl.826/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
96. [Data-Augmented Task-Oriented Dialogue Response Generation with Domain Adaptation](https://aclanthology.org/2023.paclic-1.10/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
97. [DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4](https://aclanthology.org/2023.emnlp-main.519/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
98. [DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models](https://aclanthology.org/2023.emnlp-main.279/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
99. [DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering](https://aclanthology.org/2023.acl-long.539/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [Deep Equilibrium Non-Autoregressive Sequence Learning](https://aclanthology.org/2023.findings-acl.747/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [34](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/34/) · **35** · [36](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/36/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)