---
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/28/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 28

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/) · … · [27](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/27/) · **28** · [29](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/29/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [MacGyver: Are Large Language Models Creative Problem Solvers?](https://aclanthology.org/2024.naacl-long.297/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
2. [Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning](https://aclanthology.org/2024.wmt-1.69/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
3. [Make-A-Voice: Revisiting Voice Large Language Models as Scalable Multilingual and Multitask Learners](https://aclanthology.org/2024.acl-long.589/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities](https://aclanthology.org/2024.naacl-long.211/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
5. [Masking Latent Gender Knowledge for Debiasing Image Captioning](https://aclanthology.org/2024.trustnlp-1.19/) *— 2024 · Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)*
6. [MatchTime: Towards Automatic Soccer Game Commentary Generation](https://aclanthology.org/2024.emnlp-main.99/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
7. [Measuring Retrieval Complexity in Question Answering Systems](https://aclanthology.org/2024.findings-acl.872/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
8. [Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy](https://aclanthology.org/2024.eacl-long.129/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [MedCycle: Unpaired Medical Report Generation via Cycle-Consistency](https://aclanthology.org/2024.findings-naacl.125/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
10. [MedExQA: Medical Question Answering Benchmark with Multiple Explanations](https://aclanthology.org/2024.bionlp-1.14/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
11. [MedLogic-AQA: Enhancing Medicare Question Answering with Abstractive Models Focusing on Logical Structures](https://aclanthology.org/2024.findings-emnlp.981/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
12. [MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations](https://aclanthology.org/2024.emnlp-main.936/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
13. [Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges](https://aclanthology.org/2024.findings-acl.167/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
14. [Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations](https://aclanthology.org/2024.eacl-long.56/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention](https://aclanthology.org/2024.acl-long.439/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [MemeIntent: Benchmarking Intent Description Generation for Memes](https://aclanthology.org/2024.sigdial-1.54/) *— 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
17. [Meta Large Language Model Compiler: Foundation Models of Compiler Optimization](https://arxiv.org/abs/2407.02524) *— 2024 · arXiv:2407.02524*
18. [Meta-Evaluation of Sentence Simplification Metrics](https://aclanthology.org/2024.lrec-main.981/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
19. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
20. [MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking](https://aclanthology.org/2024.acl-long.474/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task](https://aclanthology.org/2024.wmt-1.35/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
22. [MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors](https://arxiv.org/abs/2405.01413) *— 2024 · arXiv:2405.01413*
23. [Mitigating Data Scarcity in Semantic Parsing across Languages with the Multilingual Semantic Layer and its Dataset](https://aclanthology.org/2024.findings-acl.836/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
24. [Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding](https://aclanthology.org/2024.findings-acl.937/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
25. [Mitigating Metric Bias in Minimum Bayes Risk Decoding](https://aclanthology.org/2024.wmt-1.109/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
26. [Mitigating Misleading Chain-of-Thought Reasoning with Selective Filtering](https://aclanthology.org/2024.lrec-main.990/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
27. [Mitigating Open-Vocabulary Caption Hallucinations](https://aclanthology.org/2024.emnlp-main.1263/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
28. [Mitigating Paraphrase Attacks on Machine-Text Detectors via Paraphrase Inversion](https://arxiv.org/abs/2410.21637) *— 2024 · arXiv:2410.21637*
29. [Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training](https://aclanthology.org/2024.findings-acl.680/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
30. [Mitigating the Alignment Tax of RLHF](https://aclanthology.org/2024.emnlp-main.35/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
31. [Mitigating the Bias of Large Language Model Evaluation](https://aclanthology.org/2024.ccl-1.101/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
32. [Mitigating the Impact of Reference Quality on Evaluation of Summarization Systems with Reference-Free Metrics](https://aclanthology.org/2024.emnlp-main.1078/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
33. [Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing](https://aclanthology.org/2024.emnlp-main.879/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
34. [Mix-Initiative Response Generation with Dynamic Prefix Tuning](https://aclanthology.org/2024.naacl-long.485/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
35. [Mixed-Session Conversation with Egocentric Memory](https://aclanthology.org/2024.findings-emnlp.689/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
36. [Mixture-of-Agents Enhances Large Language Model Capabilities](https://arxiv.org/abs/2406.04692) *— 2024 · arXiv:2406.04692*
37. [Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts](https://aclanthology.org/2024.findings-acl.621/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
38. [MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation](https://aclanthology.org/2024.lrec-main.1010/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
39. [MoRAL: MoE Augmented LoRA for LLMs” Lifelong Learning](https://arxiv.org/abs/2402.11260) *— 2024 · arXiv:2402.11260*
40. [Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming](https://aclanthology.org/2024.mrl-1.8/) *— 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)*
41. [Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation](https://aclanthology.org/2024.lrec-main.1005/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
42. [MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension](https://aclanthology.org/2024.findings-emnlp.216/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
43. [More Agents Is All You Need](https://arxiv.org/abs/2402.05120) *— 2024 · arXiv:2402.05120*
44. [More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation](https://aclanthology.org/2024.emnlp-main.605/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
45. [More room for language: Investigating the effect of retrieval on language models](https://aclanthology.org/2024.naacl-short.26/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
46. [Muffin: Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback](https://aclanthology.org/2024.findings-acl.31/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
47. [Multi-Channel Spatio-Temporal Transformer for Sign Language Production](https://aclanthology.org/2024.lrec-main.1022/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
48. [Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean](https://aclanthology.org/2024.lrec-main.1024/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
49. [Multi-Model System for Effective Subtitling Compression](https://aclanthology.org/2024.iwslt-1.9/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
50. [Multi-Objective Forward Reasoning and Multi-Reward Backward Refinement for Product Review Summarization](https://aclanthology.org/2024.lrec-main.1043/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
51. [Multi-Source Text Classification for Multilingual Sentence Encoder with Machine Translation](https://aclanthology.org/2024.naacl-srw.24/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
52. [Multi-Step Reasoning with Large Language Models, a Survey](https://arxiv.org/abs/2407.11511) *— 2024 · arXiv:2407.11511*
53. [Multi-dimensional Evaluation of Empathetic Dialogue Responses](https://aclanthology.org/2024.findings-emnlp.113/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
54. [Multi-stream Information Fusion Framework for Emotional Support Conversation](https://aclanthology.org/2024.lrec-main.1046/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
55. [Multi-trait User Simulation with Adaptive Decoding for Conversational Task Assistants](https://aclanthology.org/2024.findings-emnlp.945/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
56. [Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers](https://arxiv.org/abs/2404.04925) *— 2024 · arXiv:2404.04925*
57. [Multilingual Text Style Transfer: Datasets & Models for Indian Languages](https://arxiv.org/abs/2405.20805) *— 2024 · arXiv:2405.20805*
58. [Multilinguality or Back-translation? A Case Study with Estonian](https://aclanthology.org/2024.lrec-main.1033/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
59. [Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models](https://arxiv.org/abs/2403.00231) *— 2024 · arXiv:2403.00231*
60. [Multimodal Chain-of-Thought Prompting for Metaphor Generation](https://aclanthology.org/2024.clicit-1.62/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
61. [Multimodal Machine Translation for Low-Resource Indic Languages: A Chain-of-Thought Approach Using Large Language Models](https://aclanthology.org/2024.wmt-1.79/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
62. [Multimodal Table Understanding](https://aclanthology.org/2024.acl-long.493/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response](https://aclanthology.org/2024.findings-naacl.231/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
64. [NADI 2024: The Fifth Nuanced Arabic Dialect Identification Shared Task](https://aclanthology.org/2024.arabicnlp-1.79/) *— 2024 · Proceedings of the Second Arabic Natural Language Processing Conference*
65. [NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms](https://aclanthology.org/2024.acl-long.749/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries](https://aclanthology.org/2024.findings-eacl.158/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
67. [NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian](https://aclanthology.org/2024.emnlp-main.317/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
68. [NLIP-Lab-IITH Multilingual MT System for WAT24 MT Shared Task](https://aclanthology.org/2024.wmt-1.74/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
69. [NLP for Counterspeech against Hate: A Survey and How-To Guide](https://aclanthology.org/2024.findings-naacl.221/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
70. [NSina: A News Corpus for Sinhala](https://aclanthology.org/2024.lrec-main.1076/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
71. [Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles](https://aclanthology.org/2024.findings-naacl.33/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
72. [Natural Answer Generation: From Factoid Answer to Full-length Answer using Grammar Correction](https://aclanthology.org/2024.icon-1.43/) *— 2024 · Proceedings of the 21st International Conference on Natural Language Processing (ICON)*
73. [NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries](https://aclanthology.org/2024.findings-acl.471/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
74. [NavHint: Vision and Language Navigation Agent with a Hint Generator](https://aclanthology.org/2024.findings-eacl.7/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
75. [Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies](https://aclanthology.org/2024.acl-long.110/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [Nemotron-4 15B Technical Report](https://arxiv.org/abs/2402.16819) *— 2024 · arXiv:2402.16819*
77. [Nesciun Lengaz Lascià Endò: Machine Translation for Fassa Ladin](https://aclanthology.org/2024.clicit-1.104/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
78. [Neural Machine Translation for Malayalam Paraphrase Generation](https://aclanthology.org/2024.dravidianlangtech-1.2/) *— 2024 · Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages*
79. [Neuro-Symbolic Data Generation for Math Reasoning](https://arxiv.org/abs/2412.04857) *— 2024 · arXiv:2412.04857*
80. [Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation](https://aclanthology.org/2024.emnlp-main.374/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
81. [No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages](https://aclanthology.org/2024.emnlp-main.1165/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
82. [No perspective, no perception!! Perspective-aware Healthcare Answer Summarization](https://aclanthology.org/2024.findings-acl.942/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
83. [Non-Autoregressive Machine Translation as Constrained HMM](https://aclanthology.org/2024.findings-acl.735/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
84. [Non-Exchangeable Conformal Language Generation with Nearest Neighbors](https://aclanthology.org/2024.findings-eacl.129/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
85. [Non-compositional Expression Generation and its Continual Learning](https://aclanthology.org/2024.findings-acl.166/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
86. [Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants](https://md.research.elamur.ai/free/en/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) *— our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
87. [Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization](https://arxiv.org/abs/2412.15453) *— 2024 · arXiv:2412.15453 · The First Workshop on Multilingual Counterspeech Generation (MCG) at The 31st International Conference on Computational Linguistics (COLING 2025)*
88. [Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References](https://aclanthology.org/2024.naacl-long.367/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
89. [NoviCode: Generating Programs from Natural Language Utterances by Novices](https://aclanthology.org/2024.tacl-1.73/) *— 2024 · Transactions of the Association for Computational Linguistics*
90. [NyayaAnumana & INLegalLlama: The Largest Indian Legal Judgment Prediction Dataset and Specialized Language Model for Enhanced Decision Analysis](https://arxiv.org/abs/2412.08385) *— 2024 · arXiv:2412.08385*
91. [OARelatedWork: A Large-Scale Dataset of Related Work Sections with Full-texts from Open Access Sources](https://arxiv.org/abs/2405.01930) *— 2024 · arXiv:2405.01930*
92. [OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models](https://aclanthology.org/2024.findings-acl.808/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
93. [OR-Bench: An Over-Refusal Benchmark for Large Language Models](https://arxiv.org/abs/2405.20947) *— 2024 · arXiv:2405.20947*
94. [OSACT6 Dialect to MSA Translation Shared Task Overview](https://aclanthology.org/2024.osact-1.11/) *— 2024 · Proceedings of the 6th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT) with Shared Tasks on Arabic LLMs Hallucination and Dialect to MSA Machine Translation @ LREC-COLING 2024*
95. [OctoPack: Instruction Tuning Code Large Language Models](https://arxiv.org/abs/2308.07124) *— 2024 · arXiv:2308.07124*
96. [OdiaGenAI's Participation in WMT2024 English-to-Low Resource Multimodal Translation Task](https://aclanthology.org/2024.wmt-1.77/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
97. [On Creating an English-Thai Code-switched Machine Translation in Medical Domain](https://aclanthology.org/2024.findings-emnlp.351/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
98. [On Improving Repository-Level Code QA for Large Language Models](https://aclanthology.org/2024.acl-srw.28/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
99. [On Instruction-Finetuning Neural Machine Translation Models](https://aclanthology.org/2024.wmt-1.114/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
100. [On Measuring Context Utilization in Document-Level MT Systems](https://aclanthology.org/2024.findings-eacl.113/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [27](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/27/) · **28** · [29](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/29/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)