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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 27

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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-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/) · 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4. [UScore: An Effective Approach to Fully Unsupervised Evaluation Metrics for Machine Translation](https://aclanthology.org/2023.eacl-main.27/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
5. [Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors](https://aclanthology.org/2023.acl-long.650/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Understanding Large Language Model Based Metrics for Text Summarization](https://aclanthology.org/2023.eval4nlp-1.12/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
7. [Understanding the Effects of RLHF on LLM Generalisation and Diversity](https://arxiv.org/abs/2310.06452) *— 2023 · arXiv:2310.06452*
8. [UniManc at NADI 2023 Shared Task: A Comparison of Various T5-based Models for Translating Arabic Dialectical Text to Modern Standard Arabic](https://aclanthology.org/2023.arabicnlp-1.71/) *— 2023 · Proceedings of ArabicNLP 2023*
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10. [Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation](https://aclanthology.org/2023.emnlp-main.852/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
11. [UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units](https://aclanthology.org/2023.acl-long.872/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [Unleashing the potential of prompt engineering for large language models](https://arxiv.org/abs/2310.14735) *— 2023 · arXiv:2310.14735 · Patterns 6(6) 101260 (2025)*
13. [Unsupervised Feature Selection for Effective Parallel Corpus Filtering](https://aclanthology.org/2023.eamt-1.4/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
14. [Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model](https://aclanthology.org/2023.acl-long.281/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Unsupervised Melody-to-Lyrics Generation](https://aclanthology.org/2023.acl-long.513/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Unsupervised Text Style Transfer with Deep Generative Models](https://arxiv.org/abs/2308.16584) *— 2023 · arXiv:2308.16584*
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36. [Which is better? Exploring Prompting Strategy For LLM-based Metrics](https://aclanthology.org/2023.eval4nlp-1.14/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
37. [White-Box Multi-Objective Adversarial Attack on Dialogue Generation](https://aclanthology.org/2023.acl-long.100/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA](https://aclanthology.org/2023.acl-long.569/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Wider and Deeper LLM Networks are Fairer LLM Evaluators](https://arxiv.org/abs/2308.01862) *— 2023 · arXiv:2308.01862*
40. [WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia](https://aclanthology.org/2023.findings-emnlp.157/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
41. [X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents](https://aclanthology.org/2023.findings-acl.174/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
42. [XDailyDialog: A Multilingual Parallel Dialogue Corpus](https://aclanthology.org/2023.acl-long.684/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Zero and Few-Shot Localization of Task-Oriented Dialogue Agents with a Distilled Representation](https://aclanthology.org/2023.eacl-main.62/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
44. [Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model](https://aclanthology.org/2023.emnlp-main.679/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
45. [``What do others think?'''': Task-Oriented Conversational Modeling with Subjective Knowledge](https://aclanthology.org/2023.sigdial-1.28/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
46. [eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings](https://aclanthology.org/2023.wmt-1.61/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
47. [f-Divergence Minimization for Sequence-Level Knowledge Distillation](https://aclanthology.org/2023.acl-long.605/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [huPWKP: A Hungarian Text Simplification Corpus](https://aclanthology.org/2023.ranlp-1.97/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
49. [kogito: A Commonsense Knowledge Inference Toolkit](https://aclanthology.org/2023.eacl-demo.12/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
50. [xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval](https://arxiv.org/abs/2303.03004) *— 2023 · arXiv:2303.03004*
51. [xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark](https://aclanthology.org/2023.findings-emnlp.371/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
52. [バイリンガルサブワード分割のためのEMアルゴリズム](https://www.anlp.jp/proceedings/annual_meeting/2023/#P6-12) *— 2023 · 言語処理学会 第29回年次大会 発表論文集 (NLP2023)*
53. [基于深度学习的代码生成方法研究进展](https://jos.org.cn/jos/article/abstract/6981) *— 2023 · 软件学报 (Journal of Software)*
54. [基于端到端预训练模型的藏文生成式文本摘要(Abstractive Summarization of Tibetan Based on end-to-end Pre-trained Model)](https://aclanthology.org/2023.ccl-1.10/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics*
55. [基于词频效应控制的神经机器翻译用词多样性增强方法(Improving Word-level Diversity in Neural Machine Translation by Controlling the Effects of Word Frequency)](https://aclanthology.org/2023.ccl-1.6/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics*
56. [多言語事前学習モデルのためのSentencePieceトークナイザーへのサブワード追加](https://www.anlp.jp/proceedings/annual_meeting/2023/#P6-13) *— 2023 · 言語処理学会 第29回年次大会 発表論文集 (NLP2023)*
57. [A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications](https://aclanthology.org/2022.lrec-1.501/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
58. [A Benchmark Dataset for Multi-Level Complexity-Controllable Machine Translation](https://aclanthology.org/2022.lrec-1.726/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
59. [A Corpus for Understanding and Generating Moral Stories](https://aclanthology.org/2022.naacl-main.374/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
60. [A Dog Is Passing Over The Jet? A Text-Generation Dataset for Korean Commonsense Reasoning and Evaluation](https://aclanthology.org/2022.findings-naacl.172/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
61. [A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating](https://aclanthology.org/2022.starsem-1.14/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
62. [A Feasibility Study of Answer-Agnostic Question Generation for Education](https://aclanthology.org/2022.findings-acl.151/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
63. [A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation](https://aclanthology.org/2022.naacl-main.223/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
64. [A Generative Approach for Mitigating Structural Biases in Natural Language Inference](https://aclanthology.org/2022.starsem-1.16/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
65. [A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output](https://aclanthology.org/2022.lrec-1.99/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
66. [A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation](https://aclanthology.org/2022.acl-long.550/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques](https://aclanthology.org/2022.emnlp-main.153/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
68. [A Parallel Corpus and Dictionary for Amis-Mandarin Translation](https://aclanthology.org/2022.nlp4dh-1.11/) *— 2022 · Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities*
69. [A Quality Estimation and Quality Evaluation Tool for the Translation Industry](https://aclanthology.org/2022.eamt-1.43/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
70. [A Question-Answer Driven Approach to Reveal Affirmative Interpretations from Verbal Negations](https://aclanthology.org/2022.findings-naacl.37/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
71. [A Shoulder to Cry on: Towards A Motivational Virtual Assistant for Assuaging Mental Agony](https://aclanthology.org/2022.naacl-main.174/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
72. [A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification](https://aclanthology.org/2022.humeval-1.8/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
73. [A Systematic Investigation of Commonsense Knowledge in Large Language Models](https://aclanthology.org/2022.emnlp-main.812/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
74. [A Template-based Method for Constrained Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.240/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
75. [A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation](https://aclanthology.org/2022.acl-long.94/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [A large-scale computational study of content preservation measures for text style transfer and paraphrase generation](https://aclanthology.org/2022.acl-srw.23/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
77. [A new approach to calculating BERTScore for automatic assessment of translation quality](https://arxiv.org/abs/2203.05598) *— 2022 · arXiv:2203.05598*
78. [AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog](https://aclanthology.org/2022.sigdial-1.29/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
79. [ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics](https://md.mova.elamur.ai/free/en/docs/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/) *— our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
80. [AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning](https://aclanthology.org/2022.emnlp-main.343/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
81. [ALIGNMEET: A Comprehensive Tool for Meeting Annotation, Alignment, and Evaluation](https://aclanthology.org/2022.lrec-1.188/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
82. [ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts](https://aclanthology.org/2022.emnlp-demos.41/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
83. [APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations](https://aclanthology.org/2022.coling-1.530/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
84. [ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models](https://aclanthology.org/2022.findings-emnlp.136/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
85. [Achieving Reliable Human Assessment of Open-Domain Dialogue Systems](https://aclanthology.org/2022.acl-long.445/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons](https://aclanthology.org/2022.acl-long.600/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [Active Learning for Abstractive Text Summarization](https://aclanthology.org/2022.findings-emnlp.377/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
88. [Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation](https://aclanthology.org/2022.wmt-1.26/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
89. [Adapting to Non-Centered Languages for Zero-shot Multilingual Translation](https://aclanthology.org/2022.coling-1.467/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
90. [Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation](https://aclanthology.org/2022.emnlp-main.664/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
91. [Adversarial Training on Disentangling Meaning and Language Representations for Unsupervised Quality Estimation](https://aclanthology.org/2022.coling-1.465/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
92. [AfriTeVA: Extending ?Small Data? Pretraining Approaches to Sequence-to-Sequence Models](https://aclanthology.org/2022.deeplo-1.14/) *— 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing*
93. [Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task](https://arxiv.org/abs/2210.09683) *— 2022 · arXiv:2210.09683*
94. [Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task](https://aclanthology.org/2022.wmt-1.53/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
95. [Aligning Generative Language Models with Human Values](https://aclanthology.org/2022.findings-naacl.18/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
96. [All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation](https://aclanthology.org/2022.amta-upg.15/) *— 2022 · Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)*
97. [AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages](https://aclanthology.org/2022.acl-long.435/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [An Automatic Evaluation of the WMT22 General Machine Translation Task](https://arxiv.org/abs/2209.14172) *— 2022 · arXiv:2209.14172*
99. [An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing](https://arxiv.org/abs/2203.12106) *— 2022 · arXiv:2203.12106*
100. [An Empirical Study on the Overlapping Problem of Open-Domain Dialogue Datasets](https://aclanthology.org/2022.lrec-1.16/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*

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