---
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/37/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 37

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/) · … · [36](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/36/) · **37** · [38](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/38/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Evaluating a Multilingual Pre-trained Model for the Automatic Standard German captioning of Swiss German TV](https://aclanthology.org/2023.swisstext-1.2/) *— 2023 · Proceedings of the 8th edition of the Swiss Text Analytics Conference*
2. [Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation](https://aclanthology.org/2023.findings-emnlp.991/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
3. [Evaluating and Improving the Coreference Capabilities of Machine Translation Models](https://aclanthology.org/2023.eacl-main.69/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
4. [Evaluating pragmatic abilities of image captioners on A3DS](https://aclanthology.org/2023.acl-short.110/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
5. [Evaluating the Efficacy of Length-Controllable Machine Translation](https://arxiv.org/abs/2305.02300) *— 2023 · arXiv:2305.02300*
6. [Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation](https://aclanthology.org/2023.jeptalnrecital-short.8/) *— 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*
7. [Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization](https://aclanthology.org/2023.findings-eacl.156/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
8. [Evaluation of Question Generation Needs More References](https://aclanthology.org/2023.findings-acl.396/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [Event-Centric Query Expansion in Web Search](https://aclanthology.org/2023.acl-industry.45/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)*
10. [Execution-Based Evaluation for Open-Domain Code Generation](https://aclanthology.org/2023.findings-emnlp.89/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
11. [Execution-based Code Generation using Deep Reinforcement Learning](https://arxiv.org/abs/2301.13816) *— 2023 · arXiv:2301.13816 · Transactions on Machine Learning Research (TMLR), 2023*
12. [Explanation Regeneration via Information Bottleneck](https://aclanthology.org/2023.findings-acl.765/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
13. [Explicit Alignment and Many-to-many Entailment Based Reasoning for Conversational Machine Reading](https://aclanthology.org/2023.findings-emnlp.866/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
14. [Explicit Syntactic Guidance for Neural Text Generation](https://aclanthology.org/2023.acl-long.788/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.178/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
16. [Exploring Automatic Evaluation Methods based on a Decoder-based LLM for Text Generation](https://aclanthology.org/2023.ijcnlp-srw.4/) *— 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: Student Research Workshop*
17. [Exploring Automatic Text Simplification of German Narrative Documents](https://aclanthology.org/2023.konvens-main.14/) *— 2023 · Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)*
18. [Exploring Better Text Image Translation with Multimodal Codebook](https://aclanthology.org/2023.acl-long.192/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Exploring Context-Aware Evaluation Metrics for Machine Translation](https://aclanthology.org/2023.findings-emnlp.1021/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
20. [Exploring Continual Learning for Code Generation Models](https://aclanthology.org/2023.acl-short.68/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
21. [Exploring Data Augmentation for Code Generation Tasks](https://aclanthology.org/2023.findings-eacl.114/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
22. [Exploring Distributional Shifts in Large Language Models for Code Analysis](https://aclanthology.org/2023.emnlp-main.1013/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
23. [Exploring In-Context Learning for Knowledge Grounded Dialog Generation](https://aclanthology.org/2023.findings-emnlp.675/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
24. [Exploring Low-resource Neural Machine Translation for Sinhala-Tamil Language Pair](https://aclanthology.org/2023.ranlp-stud.10/) *— 2023 · Proceedings of the 8th Student Research Workshop associated with the International Conference Recent Advances in Natural Language Processing*
25. [Exploring Multilingual Pretrained Machine Translation Models for Interactive Translation](https://aclanthology.org/2023.mtsummit-users.12/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
26. [Exploring Paracrawl for Document-level Neural Machine Translation](https://aclanthology.org/2023.eacl-main.94/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
27. [Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text](https://aclanthology.org/2023.eacl-main.256/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
28. [Exploring Variation of Results from Different Experimental Conditions](https://aclanthology.org/2023.findings-acl.172/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
29. [Exploring and Verbalizing Academic Ideas by Concept Co-occurrence](https://aclanthology.org/2023.acl-long.727/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Exploring the Capabilities of ChatGPT for Lexicographical Purposes: A Comparison with Oxford Advanced Learner”s Dictionary within the Microstructural Framework](https://elex.link/elex2023/proceedings-download/) *— 2023 · eLex 2023 (Brno), pp. 345–375*
31. [Exploring the Impact of Vision Features in News Image Captioning](https://aclanthology.org/2023.findings-acl.818/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
32. [Exploring the State of the Art in Legal QA Systems](https://arxiv.org/abs/2304.06623) *— 2023 · arXiv:2304.06623 · J Big Data 10, 127 (2023)*
33. [Expository Text Generation: Imitate, Retrieve, Paraphrase](https://aclanthology.org/2023.emnlp-main.729/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
34. [Extrapolating Large Language Models to Non-English by Aligning Languages](https://arxiv.org/abs/2308.04948) *— 2023 · arXiv:2308.04948*
35. [Extrapolating Multilingual Understanding Models as Multilingual Generators](https://aclanthology.org/2023.findings-emnlp.1031/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
36. [Extrinsic Evaluation of Machine Translation Metrics](https://aclanthology.org/2023.acl-long.730/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering](https://aclanthology.org/2023.acl-long.581/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering](https://aclanthology.org/2023.emnlp-main.945/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
39. [FFAEval: Evaluating Dialogue System via Free-For-All Ranking](https://aclanthology.org/2023.findings-emnlp.1049/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
40. [FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://aclanthology.org/2023.iwslt-1.1/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
41. [FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation](https://aclanthology.org/2023.tacl-1.39/) *— 2023 · Transactions of the Association for Computational Linguistics*
42. [FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation](https://aclanthology.org/2023.findings-emnlp.672/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
43. [Factual or Contextual? Disentangling Error Types in Entity Description Generation](https://aclanthology.org/2023.acl-long.463/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Faithful Low-Resource Data-to-Text Generation through Cycle Training](https://aclanthology.org/2023.acl-long.160/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints](https://aclanthology.org/2023.acl-long.28/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding](https://aclanthology.org/2023.emnlp-main.362/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
47. [FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric](https://aclanthology.org/2023.eacl-main.17/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
48. [Feedback comment generation using predicted grammatical terms](https://aclanthology.org/2023.inlg-genchal.12/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges*
49. [Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning](https://aclanthology.org/2023.acl-long.894/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [Fiction-Writing Mode: An Effective Control for Human-Machine Collaborative Writing](https://aclanthology.org/2023.eacl-main.128/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
51. [Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation](https://aclanthology.org/2023.emnlp-main.54/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
52. [Filtering Matters: Experiments in Filtering Training Sets for Machine Translation](https://aclanthology.org/2023.nodalida-1.58/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
53. [FinBART: A Pre-trained Seq2seq Language Model for Chinese Financial Tasks](https://aclanthology.org/2023.ccl-1.77/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics*
54. [Finding the Pillars of Strength for Multi-Head Attention](https://aclanthology.org/2023.acl-long.812/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Findings from the Bambara - French Machine Translation Competition (BFMT 2023)](https://aclanthology.org/2023.loresmt-1.9/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
56. [Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet](https://aclanthology.org/2023.wmt-1.1/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
57. [Findings of the VarDial Evaluation Campaign 2023](https://aclanthology.org/2023.vardial-1.25/) *— 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)*
58. [Findings of the WMT 2023 Shared Task on Automatic Post-Editing](https://aclanthology.org/2023.wmt-1.55/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
59. [Findings of the WMT 2023 Shared Task on Parallel Data Curation](https://aclanthology.org/2023.wmt-1.5/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
60. [Fine-Tuning and Evaluation of Question Generation for Slovak Language](https://aclanthology.org/2023.rocling-1.20/) *— 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)*
61. [Fine-grained Medical Vision-Language Representation Learning for Radiology Report Generation](https://aclanthology.org/2023.emnlp-main.989/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
62. [Fine-tuning and aligning question answering models for complex information extraction tasks](https://arxiv.org/abs/2309.14805) *— 2023 · arXiv:2309.14805*
63. [Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models](https://aclanthology.org/2023.gem-1.18/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
64. [Fluency Matters! Controllable Style Transfer with Syntax Guidance](https://aclanthology.org/2023.wassa-1.15/) *— 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis*
65. [Focus-aware Response Generation in Inquiry Conversation](https://aclanthology.org/2023.findings-acl.797/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
66. [Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding](https://aclanthology.org/2023.findings-acl.262/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
67. [Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance](https://aclanthology.org/2023.findings-acl.196/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
68. [Follow-on Question Suggestion via Voice Hints for Voice Assistants](https://aclanthology.org/2023.findings-emnlp.24/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
69. [FollowupQG: Towards information-seeking follow-up question generation](https://aclanthology.org/2023.ijcnlp-main.17/) *— 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)*
70. [Formalizing content creation and evaluation methods for AI-generated social media content](https://aclanthology.org/2023.gem-1.3/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
71. [From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery](https://arxiv.org/abs/2309.05203) *— 2023 · arXiv:2309.05203*
72. [From Chaos to Clarity: Claim Normalization to Empower Fact-Checking](https://aclanthology.org/2023.findings-emnlp.439/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
73. [From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation](https://aclanthology.org/2023.emnlp-main.75/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
74. [G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment](https://aclanthology.org/2023.emnlp-main.153/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
75. [GAP-Gen: Guided Automatic Python Code Generation](https://aclanthology.org/2023.eacl-srw.4/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
76. [GATE: A Challenge Set for Gender-Ambiguous Translation Examples](https://arxiv.org/abs/2303.03975) *— 2023 · arXiv:2303.03975*
77. [GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4](https://aclanthology.org/2023.wmt-1.64/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
78. [GPTScore: Evaluate as You Desire](https://arxiv.org/abs/2302.04166) *— 2023 · arXiv:2302.04166*
79. [GTCOM and DLUT's Neural Machine Translation Systems for WMT23](https://aclanthology.org/2023.wmt-1.20/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
80. [GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization](https://aclanthology.org/2023.findings-acl.593/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
81. [GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator](https://aclanthology.org/2023.acl-long.522/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors](https://aclanthology.org/2023.findings-eacl.27/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
83. [Gender Biases in Automatic Evaluation Metrics for Image Captioning](https://aclanthology.org/2023.emnlp-main.520/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
84. [Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges](https://aclanthology.org/2023.gitt-1.7/) *— 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies*
85. [Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference](https://aclanthology.org/2023.findings-acl.30/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
86. [Generating Faithful Text From a Knowledge Graph with Noisy Reference Text](https://aclanthology.org/2023.inlg-main.8/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
87. [Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models](https://arxiv.org/abs/2302.04662) *— 2023 · arXiv:2302.04662*
88. [Generating Irish Text with a Flexible Plug-and-Play Architecture](https://aclanthology.org/2023.pandl-1.4/) *— 2023 · Proceedings of the 2nd Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning*
89. [Generating clickbait spoilers with an ensemble of large language models](https://aclanthology.org/2023.inlg-main.32/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
90. [Generative Judge for Evaluating Alignment](https://arxiv.org/abs/2310.05470) *— 2023 · arXiv:2310.05470*
91. [Generative Knowledge Selection for Knowledge-Grounded Dialogues](https://aclanthology.org/2023.findings-eacl.155/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
92. [Gloss-Free End-to-End Sign Language Translation](https://aclanthology.org/2023.acl-long.722/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems](https://arxiv.org/abs/2306.05882) *— 2023 · arXiv:2306.05882 · Hermes Journal of Language and Communication in Business no 63 2023*
94. [Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.43/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
95. [Grammatical Error Correction through Round-Trip Machine Translation](https://aclanthology.org/2023.findings-eacl.165/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
96. [Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation](https://aclanthology.org/2023.emnlp-main.408/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
97. [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*
98. [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*
99. [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*
100. [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)*

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