---
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/45/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 45

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/) · … · [44](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/44/) · **45** · [46](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/46/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering](https://aclanthology.org/2022.emnlp-demos.9/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
2. [A Preordered RNN Layer Boosts Neural Machine Translation in Low Resource Settings](https://aclanthology.org/2022.loresmt-1.12/) *— 2022 · Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022)*
3. [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*
4. [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*
5. [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*
6. [A Study of Re-generating Sentences Given Similar Sentences that Cover Them on the Level of Form and Meaning](https://aclanthology.org/2022.paclic-1.41/) *— 2022 · Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation*
7. [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)*
8. [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*
9. [A Systematic Study Reveals Unexpected Interactions in Pre-Trained Neural Machine Translation](https://aclanthology.org/2022.lrec-1.154/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
10. [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*
11. [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)*
12. [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*
13. [A new approach to calculating BERTScore for automatic assessment of translation quality](https://arxiv.org/abs/2203.05598) *— 2022 · arXiv:2203.05598*
14. [A-TIP: Attribute-aware Text Infilling via Pre-trained Language Model](https://aclanthology.org/2022.coling-1.511/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
15. [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*
16. [ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics](https://md.research.elamur.ai/free/en/papers/amrhein-2022-aces-translation-accuracy-challenge-sets/) *— our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
17. [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*
18. [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*
19. [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*
20. [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*
21. [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*
22. [Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding](https://aclanthology.org/2022.acl-long.460/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [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)*
24. [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)*
25. [Active Learning for Abstractive Text Summarization](https://aclanthology.org/2022.findings-emnlp.377/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
26. [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)*
27. [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*
28. [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*
29. [Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering](https://aclanthology.org/2022.coling-1.455/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
30. [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*
31. [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*
32. [Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task](https://arxiv.org/abs/2210.09683) *— 2022 · arXiv:2210.09683*
33. [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)*
34. [Aligning Generative Language Models with Human Values](https://aclanthology.org/2022.findings-naacl.18/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
35. [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)*
36. [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)*
37. [An Automatic Evaluation of the WMT22 General Machine Translation Task](https://arxiv.org/abs/2209.14172) *— 2022 · arXiv:2209.14172*
38. [An Embarrassingly Simple Approach for Intellectual Property Rights Protection on Recurrent Neural Networks](https://aclanthology.org/2022.aacl-main.8/) *— 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 (Volume 1: Long Papers)*
39. [An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing](https://arxiv.org/abs/2203.12106) *— 2022 · arXiv:2203.12106*
40. [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*
41. [An End-to-End Contrastive Self-Supervised Learning Framework for Language Understanding](https://aclanthology.org/2022.tacl-1.76/) *— 2022 · Transactions of the Association for Computational Linguistics*
42. [An Evaluation Framework for Legal Document Summarization](https://aclanthology.org/2022.lrec-1.508/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
43. [An Investigation into the Effect of Control Tokens on Text Simplification](https://aclanthology.org/2022.tsar-1.14/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
44. [An Overview on Machine Translation Evaluation](https://arxiv.org/abs/2202.11027) *— 2022 · arXiv:2202.11027*
45. [Analysing the Correlation between Lexical Ambiguity and Translation Quality in a Multimodal Setting using WordNet](https://aclanthology.org/2022.naacl-srw.12/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
46. [Analyzing Dynamic Adversarial Training Data in the Limit](https://aclanthology.org/2022.findings-acl.18/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
47. [Analyzing Multi-Task Learning for Abstractive Text Summarization](https://aclanthology.org/2022.gem-1.5/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
48. [Analyzing and Evaluating Faithfulness in Dialogue Summarization](https://aclanthology.org/2022.emnlp-main.325/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
49. [Anticipation-Free Training for Simultaneous Machine Translation](https://aclanthology.org/2022.iwslt-1.5/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
50. [AppTek's Submission to the IWSLT 2022 Isometric Spoken Language Translation Task](https://aclanthology.org/2022.iwslt-1.34/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
51. [Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods](https://arxiv.org/abs/2209.11016) *— 2022 · arXiv:2209.11016 · Proceedings of the PolEval 2021 Workshop, 2021, 73-78*
52. [Arabic Image Captioning using Pre-training of Deep Bidirectional Transformers](https://aclanthology.org/2022.inlg-main.4/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
53. [Are Abstractive Summarization Models truly `Abstractive'? An Empirical Study to Compare the two Forms of Summarization](https://aclanthology.org/2022.gem-1.17/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
54. [Are Current Task-oriented Dialogue Systems Able to Satisfy Impolite Users?](https://arxiv.org/abs/2210.12942) *— 2022 · arXiv:2210.12942*
55. [ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic-English](https://aclanthology.org/2022.wanlp-1.12/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
56. [Ask Me Anything in Your Native Language](https://aclanthology.org/2022.naacl-main.30/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
57. [Assessing Inter-metric Correlation for Multi-document Summarization Evaluation](https://aclanthology.org/2022.gem-1.40/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
58. [Assessing Resource-Performance Trade-off of Natural Language Models using Data Envelopment Analysis](https://aclanthology.org/2022.eval4nlp-1.2/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
59. [Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos](https://aclanthology.org/2022.emnlp-main.468/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
60. [Automated Evaluation Metric for Terminology Consistency in MT](https://aclanthology.org/2022.wmt-1.41/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
61. [Automatic Comment Generation for Chinese Student Narrative Essays](https://aclanthology.org/2022.emnlp-demos.21/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
62. [Automatic Generation of Factual News Headlines in Finnish](https://aclanthology.org/2022.inlg-main.8/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
63. [Automatic Generation of Socratic Subquestions for Teaching Math Word Problems](https://aclanthology.org/2022.emnlp-main.277/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
64. [Automatic Gloss-level Data Augmentation for Sign Language Translation](https://aclanthology.org/2022.lrec-1.734/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
65. [Automatic Normalisation of Early Modern French](https://aclanthology.org/2022.lrec-1.358/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
66. [Automatic Scene-based Topic Channel Construction System for E-Commerce](https://aclanthology.org/2022.emnlp-industry.28/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
67. [Automatic Song Translation for Tonal Languages](https://aclanthology.org/2022.findings-acl.60/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
68. [Automatic Text Simplification of News Articles in the Context of Public Broadcasting](https://arxiv.org/abs/2212.13317) *— 2022 · arXiv:2212.13317*
69. [Automating Human Evaluation of Dialogue Systems](https://aclanthology.org/2022.naacl-srw.29/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
70. [Auxiliary Subword Segmentations as Related Languages for Low Resource Multilingual Translation](https://aclanthology.org/2022.eamt-1.16/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
71. [Average Token Delay: A Latency Metric for Simultaneous Translation](https://arxiv.org/abs/2211.13173) *— 2022 · arXiv:2211.13173*
72. [BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions Dataset](https://aclanthology.org/2022.lrec-1.740/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
73. [BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment](https://aclanthology.org/2022.lrec-1.168/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
74. [BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation](https://aclanthology.org/2022.emnlp-main.245/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
75. [BERTVision -- A Parameter-Efficient Approach for Question Answering](https://arxiv.org/abs/2202.12210) *— 2022 · arXiv:2202.12210*
76. [BIT-Xiaomi's System for AutoSimTrans 2022](https://aclanthology.org/2022.autosimtrans-1.6/) *— 2022 · Proceedings of the Third Workshop on Automatic Simultaneous Translation*
77. [BJTU-Toshiba's Submission to WMT22 Quality Estimation Shared Task](https://aclanthology.org/2022.wmt-1.58/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
78. [BLCU-ICALL at SemEval-2022 Task 1: Cross-Attention Multitasking Framework for Definition Modeling](https://aclanthology.org/2022.semeval-1.3/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
79. [BLOOM: A 176B-Parameter Open-Access Multilingual Language Model](https://arxiv.org/abs/2211.05100) *— 2022 · arXiv:2211.05100*
80. [BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented Dialog](https://aclanthology.org/2022.findings-naacl.166/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
81. [BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages](https://aclanthology.org/2022.findings-acl.78/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
82. [Bag-of-Vectors Autoencoders for Unsupervised Conditional Text Generation](https://aclanthology.org/2022.aacl-main.36/) *— 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 (Volume 1: Long Papers)*
83. [Barch: an English Dataset of Bar Chart Summaries](https://aclanthology.org/2022.lrec-1.380/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
84. [Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation](https://aclanthology.org/2022.coling-1.313/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
85. [Benchmarking Azerbaijani Neural Machine Translation](https://arxiv.org/abs/2207.14473) *— 2022 · arXiv:2207.14473*
86. [Benefiting from Language Similarity in the Multilingual MT Training: Case Study of Indonesian and Malaysian](https://aclanthology.org/2022.loresmt-1.11/) *— 2022 · Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022)*
87. [Better Smatch = Better Parser? AMR evaluation is not so simple anymore](https://aclanthology.org/2022.eval4nlp-1.4/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
88. [Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation](https://aclanthology.org/2022.naacl-main.289/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
89. [BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning](https://aclanthology.org/2022.coling-1.485/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
90. [BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation](https://aclanthology.org/2022.acl-long.138/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://aclanthology.org/2022.naacl-main.259/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
92. [Bilingual Tabular Inference: A Case Study on Indic Languages](https://aclanthology.org/2022.naacl-main.295/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
93. [BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model](https://aclanthology.org/2022.bionlp-1.9/) *— 2022 · Proceedings of the 21st Workshop on Biomedical Language Processing*
94. [Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems](https://aclanthology.org/2022.aacl-srw.2/) *— 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: Student Research Workshop*
95. [BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation](https://aclanthology.org/2022.naacl-main.111/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
96. [Boosting Code Summarization by Embedding Code Structures](https://aclanthology.org/2022.coling-1.521/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
97. [Breaking Down Multilingual Machine Translation](https://aclanthology.org/2022.findings-acl.218/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
98. [Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation](https://aclanthology.org/2022.acl-long.456/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation](https://aclanthology.org/2022.findings-naacl.200/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
100. [Building Joint Relationship Attention Network for Image-Text Generation](https://aclanthology.org/2022.coling-1.489/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [44](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/44/) · **45** · [46](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/46/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)