---
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/38/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 38

10827 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/) · … · [37](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/37/) · **38** · [39](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/39/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue](https://aclanthology.org/2023.emnlp-main.982/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
2. [Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation](https://aclanthology.org/2023.inlg-main.1/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
3. [Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph](https://aclanthology.org/2023.findings-acl.407/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
4. [Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens](https://aclanthology.org/2023.starsem-1.29/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
5. [HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation](https://aclanthology.org/2023.acl-long.702/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [HEAR: Hearing Enhanced Audio Response for Video-grounded Dialogue](https://aclanthology.org/2023.findings-emnlp.797/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
7. [HIT-MI&T Lab's Submission to Eval4NLP 2023 Shared Task](https://aclanthology.org/2023.eval4nlp-1.11/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
8. [HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales](https://aclanthology.org/2023.inlg-main.21/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
9. [HW-TSC's Participation in the WMT 2023 Automatic Post Editing Shared Task](https://aclanthology.org/2023.wmt-1.85/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
10. [Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs](https://aclanthology.org/2023.emnlp-main.770/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
11. [Harnessing Dataset Cartography for Improved Compositional Generalization in Transformers](https://aclanthology.org/2023.findings-emnlp.867/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
12. [Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond](https://arxiv.org/abs/2304.13712) *— 2023 · arXiv:2304.13712*
13. [Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements](https://aclanthology.org/2023.findings-emnlp.433/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
14. [Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning](https://aclanthology.org/2023.findings-acl.148/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
15. [Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus](https://aclanthology.org/2023.emnlp-main.873/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
16. [Hidden Schema Networks](https://aclanthology.org/2023.acl-long.263/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [Hierarchical Catalogue Generation for Literature Review: A Benchmark](https://aclanthology.org/2023.findings-emnlp.453/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
18. [High-quality argumentative information in low resources approaches improve counter-narrative generation](https://aclanthology.org/2023.findings-emnlp.194/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
19. [Hindi to Dravidian Language Neural Machine Translation Systems](https://aclanthology.org/2023.ranlp-1.121/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
20. [HistAlign: Improving Context Dependency in Language Generation by Aligning with History](https://aclanthology.org/2023.emnlp-main.179/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
21. [HonestBait: Forward References for Attractive but Faithful Headline Generation](https://aclanthology.org/2023.findings-acl.296/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
22. [Hospital Discharge Summarization Data Provenance](https://aclanthology.org/2023.bionlp-1.41/) *— 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks*
23. [How About Kind of Generating Hedges using End-to-End Neural Models?](https://aclanthology.org/2023.acl-long.50/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?](https://arxiv.org/abs/2306.01248) *— 2023 · arXiv:2306.01248*
25. [How Well Apply Simple MLP to Incomplete Utterance Rewriting?](https://aclanthology.org/2023.acl-short.134/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
26. [How can machine translation help generate Arab melodic improvisation?](https://aclanthology.org/2023.eamt-1.38/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
27. [How do decoding algorithms distribute information in dialogue responses?](https://aclanthology.org/2023.findings-eacl.70/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
28. [How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics](https://aclanthology.org/2023.findings-acl.893/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
29. [How-to Guides for Specific Audiences: A Corpus and Initial Findings](https://aclanthology.org/2023.acl-srw.46/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
30. [Human-in-the-loop Machine Translation with Large Language Model](https://aclanthology.org/2023.mtsummit-users.8/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
31. [I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons](https://aclanthology.org/2023.acl-long.624/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets](https://aclanthology.org/2023.findings-acl.453/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
33. [IC3: Image Captioning by Committee Consensus](https://aclanthology.org/2023.emnlp-main.556/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
34. [ICE-Score: Instructing Large Language Models to Evaluate Code](https://arxiv.org/abs/2304.14317) *— 2023 · arXiv:2304.14317*
35. [INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation](https://aclanthology.org/2023.acl-long.888/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://aclanthology.org/2023.emnlp-main.365/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
37. [IOL Research Machine Translation Systems for WMT23 General Machine Translation Shared Task](https://aclanthology.org/2023.wmt-1.19/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
38. [IOL Research Machine Translation Systems for WMT23 Low-Resource Indic Language Translation Shared Task](https://aclanthology.org/2023.wmt-1.94/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
39. [ISLTranslate: Dataset for Translating Indian Sign Language](https://aclanthology.org/2023.findings-acl.665/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
40. [Identifying Feedback Types to Augment Feedback Comment Generation](https://aclanthology.org/2023.inlg-genchal.5/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges*
41. [ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation](https://aclanthology.org/2023.findings-eacl.6/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
42. [Impacts of Approaches for Agglutinative-LRL Neural Machine Translation (NMT): A Case Study on Manipuri-English Pair](https://aclanthology.org/2023.icon-1.19/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
43. [Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation](https://aclanthology.org/2023.findings-acl.816/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
44. [Importance of Synthesizing High-quality Data for Text-to-SQL Parsing](https://aclanthology.org/2023.findings-acl.86/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
45. [Improved Instruction Ordering in Recipe-Grounded Conversation](https://aclanthology.org/2023.acl-long.561/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search](https://aclanthology.org/2023.emnlp-main.764/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
47. [Improving Domain Robustness in Neural Machine Translation with Fused Topic Knowledge Embeddings](https://aclanthology.org/2023.mtsummit-research.18/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
48. [Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts](https://aclanthology.org/2023.iwslt-1.4/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
49. [Improving End-to-end Taiwanese-Speech-to-Chinese-Text Translation by Semi-supervised Learning](https://aclanthology.org/2023.rocling-1.3/) *— 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)*
50. [Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering](https://aclanthology.org/2023.iwslt-1.40/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
51. [Improving Image Captioning via Predicting Structured Concepts](https://aclanthology.org/2023.emnlp-main.25/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
52. [Improving Language Model Integration for Neural Machine Translation](https://aclanthology.org/2023.findings-acl.444/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
53. [Improving Long Context Document-Level Machine Translation](https://aclanthology.org/2023.codi-1.15/) *— 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)*
54. [Improving Machine Translation in the E-commerce Luxury Space. A case study](https://aclanthology.org/2023.eamt-1.43/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
55. [Improving Medical Dialogue Generation with Abstract Meaning Representations](https://arxiv.org/abs/2309.10608) *— 2023 · arXiv:2309.10608*
56. [Improving Metrics for Speech Translation](https://aclanthology.org/2023.swisstext-1.3/) *— 2023 · Proceedings of the 8th edition of the Swiss Text Analytics Conference*
57. [Improving Multimodal Datasets with Image Captioning](https://arxiv.org/abs/2307.10350) *— 2023 · arXiv:2307.10350*
58. [Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning](https://aclanthology.org/2023.iwslt-1.13/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
59. [Improving Neural Machine Translation of Indigenous Languages with Multilingual Transfer Learning](https://aclanthology.org/2023.loresmt-1.6/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
60. [Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC](https://arxiv.org/abs/2306.06345) *— 2023 · arXiv:2306.06345 · IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 32, 2024*
61. [Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity](https://aclanthology.org/2023.multi3generation-1.6/) *— 2023 · Proceedings of the 1st International Workshop on Multilingual, Multimodal and Multitask Language Generation*
62. [Improving Question Generation with Multi-level Content Planning](https://aclanthology.org/2023.findings-emnlp.57/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
63. [Improving User Controlled Table-To-Text Generation Robustness](https://aclanthology.org/2023.findings-eacl.175/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
64. [Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization](https://aclanthology.org/2023.findings-acl.766/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
65. [In-Image Neural Machine Translation with Segmented Pixel Sequence-to-Sequence Model](https://aclanthology.org/2023.findings-emnlp.1004/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
66. [In-context Autoencoder for Context Compression in a Large Language Model](https://arxiv.org/abs/2307.06945) *— 2023 · arXiv:2307.06945*
67. [In-context Examples Selection for Machine Translation](https://aclanthology.org/2023.findings-acl.564/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
68. [Incomplete Utterance Rewriting as Sequential Greedy Tagging](https://aclanthology.org/2023.findings-acl.456/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
69. [Incomplete Utterance Rewriting by A Two-Phase Locate-and-Fill Regime](https://aclanthology.org/2023.findings-acl.171/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
70. [Incorporating Distributions of Discourse Structure for Long Document Abstractive Summarization](https://aclanthology.org/2023.acl-long.306/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [Incorporating Task-Specific Concept Knowledge into Script Learning](https://aclanthology.org/2023.eacl-main.220/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
72. [IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages](https://aclanthology.org/2023.acl-long.795/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages](https://arxiv.org/abs/2305.16307) *— 2023 · arXiv:2305.16307*
74. [InfoDiffusion: Information Entropy Aware Diffusion Process for Non-Autoregressive Text Generation](https://aclanthology.org/2023.findings-emnlp.919/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
75. [InfoMetIC: An Informative Metric for Reference-free Image Caption Evaluation](https://aclanthology.org/2023.acl-long.178/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [Injecting Comparison Skills in Task-Oriented Dialogue Systems for Database Search Results Disambiguation](https://aclanthology.org/2023.findings-acl.249/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
77. [Instance-Based Domain Adaptation for Improving Terminology Translation](https://aclanthology.org/2023.mtsummit-research.19/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
78. [InstructTODS: Large Language Models for End-to-End Task-Oriented Dialogue Systems](https://aclanthology.org/2023.nlint-1.1/) *— 2023 · Proceedings of the Second Workshop on Natural Language Interfaces*
79. [InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback](https://arxiv.org/abs/2306.14898) *— 2023 · arXiv:2306.14898*
80. [Interactive Text Generation](https://aclanthology.org/2023.emnlp-main.270/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
81. [Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction](https://aclanthology.org/2023.ijcnlp-main.31/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [Interpretable Math Word Problem Solution Generation via Step-by-step Planning](https://aclanthology.org/2023.acl-long.379/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Interpreting Positional Information in Perspective of Word Order](https://aclanthology.org/2023.acl-long.534/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation](https://aclanthology.org/2023.loresmt-1.7/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
85. [Investigating Lexical Sharing in Multilingual Machine Translation for Indian Languages](https://aclanthology.org/2023.eamt-1.18/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
86. [Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning](https://aclanthology.org/2023.clinicalnlp-1.5/) *— 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop*
87. [Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios](https://aclanthology.org/2023.emnlp-industry.17/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track*
88. [Investigating the Effectiveness of Multiple Expert Models Collaboration](https://aclanthology.org/2023.findings-emnlp.960/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
89. [Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM](https://arxiv.org/abs/2303.01911) *— 2023 · arXiv:2303.01911*
90. [Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine](https://arxiv.org/abs/2301.08745) *— 2023 · arXiv:2301.08745*
91. [Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation](https://arxiv.org/abs/2305.07375) *— 2023 · arXiv:2305.07375*
92. [Is ChatGPT a Good NLG Evaluator? A Preliminary Study](https://arxiv.org/abs/2303.04048) *— 2023 · arXiv:2303.04048*
93. [Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation](https://aclanthology.org/2023.starsem-1.17/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
94. [Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation](https://arxiv.org/abs/2305.01210) *— 2023 · arXiv:2305.01210*
95. [Isotropy-Enhanced Conditional Masked Language Models](https://aclanthology.org/2023.findings-emnlp.555/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
96. [It Ain”t Over: A Multi-aspect Diverse Math Word Problem Dataset](https://aclanthology.org/2023.emnlp-main.927/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
97. [It”s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk](https://aclanthology.org/2023.bigpicture-1.9/) *— 2023 · Proceedings of the Big Picture Workshop*
98. [JHU IWSLT 2023 Dialect Speech Translation System Description](https://aclanthology.org/2023.iwslt-1.26/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
99. [JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing](https://aclanthology.org/2023.findings-emnlp.664/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
100. [JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning Models](https://aclanthology.org/2023.conll-1.28/) *— 2023 · Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [37](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/37/) · **38** · [39](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/39/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)