---
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/51/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 51

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/) · … · [50](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/50/) · **51** · [52](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/52/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework](https://arxiv.org/abs/2202.03052) *— 2022 · arXiv:2202.03052*
2. [Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation](https://aclanthology.org/2022.coling-1.509/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
3. [Offline-to-Online Co-Evolutional User Simulator and Dialogue System](https://aclanthology.org/2022.seretod-1.11/) *— 2022 · Proceedings of the Towards Semi-Supervised and Reinforced Task-Oriented Dialog Systems (SereTOD)*
4. [On Assessing and Developing Spoken `Grammatical Error Correction' Systems](https://aclanthology.org/2022.bea-1.9/) *— 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)*
5. [On Controlling Fallback Responses for Grounded Dialogue Generation](https://aclanthology.org/2022.findings-acl.204/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
6. [On Decoding Strategies for Neural Text Generators](https://aclanthology.org/2022.tacl-1.58/) *— 2022 · Transactions of the Association for Computational Linguistics*
7. [On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation](https://aclanthology.org/2022.naacl-main.161/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
8. [On Target Representation in Continuous-output Neural Machine Translation](https://aclanthology.org/2022.repl4nlp-1.24/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
9. [On the Dynamics of Gender Learning in Speech Translation](https://aclanthology.org/2022.gebnlp-1.12/) *— 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
10. [On the Effectiveness of Automated Metrics for Text Generation Systems](https://aclanthology.org/2022.findings-emnlp.108/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
11. [On the Evaluation Metrics for Paraphrase Generation](https://aclanthology.org/2022.emnlp-main.208/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing](https://aclanthology.org/2022.insights-1.12/) *— 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP*
13. [On the Interaction of Regularization Factors in Low-resource Neural Machine Translation](https://aclanthology.org/2022.eamt-1.14/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
14. [On the Limitations of Reference-Free Evaluations of Generated Text](https://aclanthology.org/2022.emnlp-main.753/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
15. [On the Robustness of Question Rewriting Systems to Questions of Varying Hardness](https://aclanthology.org/2022.acl-long.149/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART](https://aclanthology.org/2022.coling-1.567/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
17. [One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation](https://aclanthology.org/2022.naacl-main.277/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
18. [Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue](https://aclanthology.org/2022.acl-long.110/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Open Domain Question Answering with A Unified Knowledge Interface](https://aclanthology.org/2022.acl-long.113/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Open Relation Modeling: Learning to Define Relations between Entities](https://aclanthology.org/2022.findings-acl.26/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
21. [Open-Domain Dialog Evaluation Using Follow-Ups Likelihood](https://aclanthology.org/2022.coling-1.40/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
22. [Open-Domain Sign Language Translation Learned from Online Video](https://aclanthology.org/2022.emnlp-main.427/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
23. [Open-domain Dialogue Generation: What We Can Do, Cannot Do, And Should Do Next](https://aclanthology.org/2022.nlp4convai-1.13/) *— 2022 · Proceedings of the 4th Workshop on NLP for Conversational AI*
24. [Open-domain Video Commentary Generation](https://aclanthology.org/2022.emnlp-main.495/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
25. [OpenPrompt: An Open-source Framework for Prompt-learning](https://aclanthology.org/2022.acl-demo.10/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
26. [Opportunities for Human-centered Evaluation of Machine Translation Systems](https://aclanthology.org/2022.findings-naacl.17/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
27. [Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance](https://aclanthology.org/2022.naacl-main.389/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
28. [Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions](https://aclanthology.org/2022.acl-long.182/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation](https://aclanthology.org/2022.acl-long.143/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation](https://aclanthology.org/2022.emnlp-main.630/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
31. [Overcoming a Theoretical Limitation of Self-Attention](https://aclanthology.org/2022.acl-long.527/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [Overview of the 9th Workshop on Asian Translation](https://aclanthology.org/2022.wat-1.1/) *— 2022 · Proceedings of the 9th Workshop on Asian Translation*
33. [P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training](https://aclanthology.org/2022.findings-emnlp.496/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
34. [PEER: A Collaborative Language Model](https://arxiv.org/abs/2208.11663) *— 2022 · arXiv:2208.11663*
35. [PEPDS: A Polite and Empathetic Persuasive Dialogue System for Charity Donation](https://aclanthology.org/2022.coling-1.34/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
36. [PICT@DravidianLangTech-ACL2022: Neural Machine Translation On Dravidian Languages](https://aclanthology.org/2022.dravidianlangtech-1.28/) *— 2022 · Proceedings of the Second Workshop on Speech and Language Technologies for Dravidian Languages*
37. [PICT@WAT 2022: Neural Machine Translation Systems for Indic Languages](https://aclanthology.org/2022.wat-1.13/) *— 2022 · Proceedings of the 9th Workshop on Asian Translation*
38. [PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation](https://aclanthology.org/2022.coling-1.547/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
39. [PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation](https://aclanthology.org/2022.acl-long.163/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events](https://aclanthology.org/2022.emnlp-main.594/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
41. [PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding](https://aclanthology.org/2022.naacl-main.215/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
42. [PaCo: Preconditions Attributed to Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.505/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
43. [Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation](https://aclanthology.org/2022.coling-1.53/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
44. [PanGu-Coder: Program Synthesis with Function-Level Language Modeling](https://arxiv.org/abs/2207.11280) *— 2022 · arXiv:2207.11280*
45. [ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation](https://aclanthology.org/2022.emnlp-main.479/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
46. [ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation](https://aclanthology.org/2022.coling-1.341/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
47. [Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models](https://aclanthology.org/2022.coling-1.288/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
48. [Paraphrase Generation as Unsupervised Machine Translation](https://aclanthology.org/2022.coling-1.555/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
49. [Paraphrase Identification with Deep Learning: A Review of Datasets and Methods](https://arxiv.org/abs/2212.06933) *— 2022 · arXiv:2212.06933*
50. [Paraphrasing Techniques for Maritime QA system](https://arxiv.org/abs/2203.10854) *— 2022 · arXiv:2203.10854*
51. [Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics](https://aclanthology.org/2022.findings-aacl.28/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
52. [Partial Could Be Better than Whole. HW-TSC 2022 Submission for the Metrics Shared Task](https://aclanthology.org/2022.wmt-1.48/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
53. [Partner Personas Generation for Dialogue Response Generation](https://aclanthology.org/2022.naacl-main.382/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
54. [Passing Parser Uncertainty to the Transformer: Labeled Dependency Distributions for Neural Machine Translation](https://aclanthology.org/2022.eamt-1.7/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
55. [Patient-friendly Clinical Notes: Towards a new Text Simplification Dataset](https://aclanthology.org/2022.tsar-1.3/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
56. [Perceptual Quality Dimensions of Machine-Generated Text with a Focus on Machine Translation](https://aclanthology.org/2022.humeval-1.3/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
57. [Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation](https://aclanthology.org/2022.naacl-main.245/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
58. [Perturbation Augmentation for Fairer NLP](https://aclanthology.org/2022.emnlp-main.646/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
59. [Phrase-level Textual Adversarial Attack with Label Preservation](https://aclanthology.org/2022.findings-naacl.83/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
60. [PicTalky: Augmentative and Alternative Communication for Language Developmental Disabilities](https://aclanthology.org/2022.aacl-demo.3/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations*
61. [Plug-and-Play Controller for Story Completion: A Pilot Study toward Emotion-aware Story Writing Assistance](https://aclanthology.org/2022.in2writing-1.6/) *— 2022 · Proceedings of the First Workshop on Intelligent and Interactive Writing Assistants (In2Writing 2022)*
62. [Plug-and-Play Recipe Generation with Content Planning](https://aclanthology.org/2022.gem-1.19/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
63. [Polite Task-oriented Dialog Agents: To Generate or to Rewrite?](https://aclanthology.org/2022.wassa-1.34/) *— 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis*
64. [Pre-trained language models evaluating themselves - A comparative study](https://aclanthology.org/2022.insights-1.25/) *— 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP*
65. [Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation](https://aclanthology.org/2022.eamt-1.27/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
66. [Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation](https://aclanthology.org/2022.emnlp-main.482/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
67. [Prediction Difference Regularization against Perturbation for Neural Machine Translation](https://aclanthology.org/2022.acl-long.528/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
68. [PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment](https://aclanthology.org/2022.coling-1.515/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
69. [Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues](https://aclanthology.org/2022.acl-long.66/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [Preparing an endangered language for the digital age: The Case of Judeo-Spanish](https://aclanthology.org/2022.eurali-1.18/) *— 2022 · Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference*
71. [Pretrained Models for Multilingual Federated Learning](https://aclanthology.org/2022.naacl-main.101/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
72. [Pretrained Speech Encoders and Efficient Fine-tuning Methods for Speech Translation: UPC at IWSLT 2022](https://aclanthology.org/2022.iwslt-1.23/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
73. [Priming Ancient Korean Neural Machine Translation](https://aclanthology.org/2022.lrec-1.3/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
74. [Probing Cross-modal Semantics Alignment Capability from the Textual Perspective](https://aclanthology.org/2022.findings-emnlp.421/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
75. [Probing Factually Grounded Content Transfer with Factual Ablation](https://aclanthology.org/2022.findings-acl.294/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
76. [Probing Multilingual Cognate Prediction Models](https://aclanthology.org/2022.findings-acl.299/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
77. [Probing the Robustness of Trained Metrics for Conversational Dialogue Systems](https://aclanthology.org/2022.acl-short.85/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
78. [Programmable Annotation with Diversed Heuristics and Data Denoising](https://aclanthology.org/2022.coling-1.237/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
79. [Prompt-Driven Neural Machine Translation](https://aclanthology.org/2022.findings-acl.203/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
80. [Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models](https://aclanthology.org/2022.emnlp-main.141/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
81. [ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation](https://aclanthology.org/2022.acl-long.68/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [Psychology-guided Controllable Story Generation](https://aclanthology.org/2022.coling-1.564/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
83. [Putting WordNet”s Dictionary Examples in the Context of Definition Modelling: An Empirical Analysis](https://aclanthology.org/2022.cogalex-1.6/) *— 2022 · Proceedings of the Workshop on Cognitive Aspects of the Lexicon*
84. [Q-Learning Scheduler for Multi Task Learning Through the use of Histogram of Task Uncertainty](https://aclanthology.org/2022.repl4nlp-1.2/) *— 2022 · Proceedings of the 7th Workshop on Representation Learning for NLP*
85. [Q-TOD: A Query-driven Task-oriented Dialogue System](https://aclanthology.org/2022.emnlp-main.489/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
86. [QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance](https://aclanthology.org/2022.emnlp-main.37/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
87. [QSTS: A Question-Sensitive Text Similarity Measure for Question Generation](https://aclanthology.org/2022.coling-1.337/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
88. [QaDialMoE: Question-answering Dialogue based Fact Verification with Mixture of Experts](https://aclanthology.org/2022.findings-emnlp.229/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
89. [Quality Controlled Paraphrase Generation](https://aclanthology.org/2022.acl-long.45/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task](https://aclanthology.org/2022.wmt-1.54/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
91. [Quality Scoring of Source Words in Neural Translation Models](https://aclanthology.org/2022.emnlp-main.732/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
92. [Quality versus Quantity: Building Catalan-English MT Resources](https://aclanthology.org/2022.sigul-1.8/) *— 2022 · Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages*
93. [Quality-Aware Decoding for Neural Machine Translation](https://aclanthology.org/2022.naacl-main.100/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
94. [Quantifying Synthesis and Fusion and their Impact on Machine Translation](https://aclanthology.org/2022.naacl-main.94/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
95. [Question Generation Based on Grammar Knowledge and Fine-grained Classification](https://aclanthology.org/2022.coling-1.562/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
96. [Question Generation for Reading Comprehension Assessment by Modeling How and What to Ask](https://aclanthology.org/2022.findings-acl.168/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
97. [QuickGraph: A Rapid Annotation Tool for Knowledge Graph Extraction from Technical Text](https://aclanthology.org/2022.acl-demo.27/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
98. [Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation](https://aclanthology.org/2022.findings-naacl.9/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
99. [RACE: Retrieval-augmented Commit Message Generation](https://aclanthology.org/2022.emnlp-main.372/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
100. [RCML at TSAR-2022 Shared Task: Lexical Simplification With Modular Substitution Candidate Ranking](https://aclanthology.org/2022.tsar-1.29/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [50](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/50/) · **51** · [52](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/52/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)