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

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/) · … · [26](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/26/) · **27** · [28](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/28/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [LLM-based MT Data Creation: Dialectal to MSA Translation Shared Task](https://aclanthology.org/2024.osact-1.14/) *— 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*
2. [LLM-based Machine Translation and Summarization for Latin](https://aclanthology.org/2024.lt4hala-1.15/) *— 2024 · Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024*
3. [LLMR: Knowledge Distillation with a Large Language Model-Induced Reward](https://aclanthology.org/2024.lrec-main.932/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
4. [LLMs Are Zero-Shot Context-Aware Simultaneous Translators](https://aclanthology.org/2024.emnlp-main.69/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
5. [LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese](https://aclanthology.org/2024.propor-1.5/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
6. [LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores](https://aclanthology.org/2024.findings-acl.753/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
7. [LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods](https://arxiv.org/abs/2412.05579) *— 2024 · arXiv:2412.05579*
8. [LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data](https://arxiv.org/abs/2406.14498) *— 2024 · arXiv:2406.14498*
9. [LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models](https://aclanthology.org/2024.findings-acl.416/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
10. [LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models](https://aclanthology.org/2024.naacl-long.222/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
11. [LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots](https://arxiv.org/abs/2403.08943) *— 2024 · arXiv:2403.08943*
12. [LOCR: Location-Guided Transformer for Optical Character Recognition](https://aclanthology.org/2024.findings-emnlp.314/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
13. [LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?](https://aclanthology.org/2024.naacl-long.373/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
14. [LaMP: When Large Language Models Meet Personalization](https://aclanthology.org/2024.acl-long.399/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Label Confidence Weighted Learning for Target-level Sentence Simplification](https://aclanthology.org/2024.emnlp-main.999/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
16. [Label-Synchronous Neural Transducer for E2E Simultaneous Speech Translation](https://aclanthology.org/2024.acl-long.448/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings](https://arxiv.org/abs/2405.16820) *— 2024 · arXiv:2405.16820*
18. [LangBridge: Multilingual Reasoning Without Multilingual Supervision](https://aclanthology.org/2024.acl-long.405/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Language Bias in Multilingual Information Retrieval: The Nature of the Beast and Mitigation Methods](https://aclanthology.org/2024.mrl-1.23/) *— 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)*
20. [Language Models as Inductive Reasoners](https://aclanthology.org/2024.eacl-long.13/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [Language Models can Evaluate Themselves via Probability Discrepancy](https://aclanthology.org/2024.findings-acl.291/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
22. [Language Resources in Spanish for Automatic Text Simplification across Domains](https://arxiv.org/abs/2409.20466) *— 2024 · arXiv:2409.20466*
23. [Language and computers (Language Science Press, Textbooks in Language Sciences, 2024)](https://zenodo.org/records/12730906) *— 2024 · textbook*
24. [Language is Scary when Over-Analyzed: Unpacking Implied Misogynistic Reasoning with Argumentation Theory-Driven Prompts](https://aclanthology.org/2024.emnlp-main.1174/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
25. [Language models scale reliably with over-training and on downstream tasks](https://arxiv.org/abs/2403.08540) *— 2024 · arXiv:2403.08540*
26. [LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows](https://aclanthology.org/2024.naacl-long.215/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
27. [Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning](https://aclanthology.org/2024.findings-emnlp.328/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
28. [Large Language Models are Inconsistent and Biased Evaluators](https://arxiv.org/abs/2405.01724) *— 2024 · arXiv:2405.01724*
29. [Large Language Models are not Fair Evaluators](https://aclanthology.org/2024.acl-long.511/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Large Language Models as Biomedical Hypothesis Generators: A Comprehensive Evaluation](https://arxiv.org/abs/2407.08940) *— 2024 · arXiv:2407.08940*
31. [Large Language Models for Biomedical Text Simplification: Promising But Not There Yet](https://arxiv.org/abs/2408.03871) *— 2024 · arXiv:2408.03871*
32. [Large Language Models for Classical Chinese Poetry Translation: Benchmarking, Evaluating, and Improving](https://arxiv.org/abs/2408.09945) *— 2024 · arXiv:2408.09945*
33. [Large Language Models for Generative Recommendation: A Survey and Visionary Discussions](https://aclanthology.org/2024.lrec-main.886/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
34. [Large Language Models: A Survey](https://arxiv.org/abs/2402.06196) *— 2024 · arXiv:2402.06196*
35. [Large-scale Summarization of Chat Transcripts in the Absence of Annotated Summaries](https://aclanthology.org/2024.icnlsp-1.12/) *— 2024 · Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024)*
36. [Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities](https://aclanthology.org/2024.lrec-main.888/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
37. [Learning Personalized Alignment for Evaluating Open-ended Text Generation](https://aclanthology.org/2024.emnlp-main.737/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
38. [Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues](https://aclanthology.org/2024.findings-emnlp.264/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
39. [Learning from Wrong Predictions in Low-Resource Neural Machine Translation](https://aclanthology.org/2024.lrec-main.896/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
40. [Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System](https://aclanthology.org/2024.findings-emnlp.609/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
41. [Learning-From-Mistakes Prompting for Indigenous Language Translation](https://aclanthology.org/2024.loresmt-1.15/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
42. [Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courts](https://aclanthology.org/2024.findings-acl.255/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
43. [Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation](https://aclanthology.org/2024.findings-acl.135/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
44. [Less is More: Towards Green Code Large Language Models via Unified Structural Pruning](https://arxiv.org/abs/2412.15921) *— 2024 · arXiv:2412.15921*
45. [Lessons from the Trenches on Reproducible Evaluation of Language Models](https://arxiv.org/abs/2405.14782) *— 2024 · arXiv:2405.14782*
46. [Leveraging Context-Aware Prompting for Commit Message Generation](https://aclanthology.org/2024.emnlp-main.749/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
47. [Leveraging Knowledge from Translation Memory for Globally and Locally Guiding Neural Machine Translation](https://aclanthology.org/2024.paclic-1.2/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
48. [Leveraging LLM Reasoning Enhances Personalized Recommender Systems](https://aclanthology.org/2024.findings-acl.780/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
49. [Leveraging LLMs for Dialogue Quality Measurement](https://aclanthology.org/2024.naacl-industry.30/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)*
50. [Leveraging LLMs for MT in Crisis Scenarios: a blueprint for low-resource languages](https://aclanthology.org/2024.amta-research.2/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
51. [Leveraging Large Language Models for Building Interpretable Rule-Based Data-to-Text Systems](https://aclanthology.org/2024.inlg-main.48/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
52. [Leveraging Large Language Models for Fact Verification in Italian](https://aclanthology.org/2024.clicit-1.97/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
53. [Leveraging Large Language Models for NLG Evaluation: Advances and Challenges](https://aclanthology.org/2024.emnlp-main.896/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
54. [Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English](https://aclanthology.org/2024.loresmt-1.8/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
55. [Leveraging Plug-and-Play Models for Rhetorical Structure Control in Text Generation](https://aclanthology.org/2024.inlg-main.40/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
56. [Leveraging Pre-existing Resources for Data-Efficient Counter-Narrative Generation in Korean](https://aclanthology.org/2024.lrec-main.907/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
57. [Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation](https://aclanthology.org/2024.iwslt-1.31/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
58. [LexAbSumm: Aspect-based Summarization of Legal Decisions](https://aclanthology.org/2024.lrec-main.911/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
59. [LexDrafter: Terminology Drafting for Legislative Documents Using Retrieval Augmented Generation](https://aclanthology.org/2024.lrec-main.913/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
60. [LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation](https://aclanthology.org/2024.findings-emnlp.866/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
61. [Likelihood-based Mitigation of Evaluation Bias in Large Language Models](https://aclanthology.org/2024.findings-acl.193/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
62. [LinChance-NTU for Unconstrained WMT2024 Literary Translation](https://aclanthology.org/2024.wmt-1.99/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
63. [Linear-time Minimum Bayes Risk Decoding with Reference Aggregation](https://aclanthology.org/2024.acl-short.71/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
64. [LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Reasoning](https://arxiv.org/abs/2412.12499) *— 2024 · arXiv:2412.12499*
65. [Linguistically Informed Transformers for Text to American Sign Language Translation](https://aclanthology.org/2024.loresmt-1.5/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
66. [LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing](https://arxiv.org/abs/2406.02350) *— 2024 · arXiv:2406.02350*
67. [LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP](https://aclanthology.org/2024.lrec-main.930/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
68. [LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models](https://arxiv.org/abs/2403.13372) *— 2024 · arXiv:2403.13372*
69. [Local and Global Contexts for Conversation](https://aclanthology.org/2024.findings-eacl.95/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
70. [LocalRQA: From Generating Data to Locally Training, Testing, and Deploying Retrieval-Augmented QA Systems](https://aclanthology.org/2024.acl-demos.14/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
71. [LongForm: Effective Instruction Tuning with Reverse Instructions](https://aclanthology.org/2024.findings-emnlp.414/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
72. [LooGLE: Can Long-Context Language Models Understand Long Contexts?](https://aclanthology.org/2024.acl-long.859/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [Look before You Leap: Dual Logical Verification for Knowledge-based Visual Question Generation](https://aclanthology.org/2024.lrec-main.943/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
74. [Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation](https://aclanthology.org/2024.findings-acl.211/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
75. [M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks](https://aclanthology.org/2024.findings-emnlp.250/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
76. [MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets](https://aclanthology.org/2024.naacl-long.288/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
77. [MAGNET - MAchines GeNErating Translations: A CALAMITA Challenge](https://aclanthology.org/2024.clicit-1.120/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
78. [MAIRA at RRG24: A specialised large multimodal model for radiology report generation](https://aclanthology.org/2024.bionlp-1.50/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
79. [MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification](https://aclanthology.org/2024.findings-eacl.79/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
80. [MCTS: A Multi-Reference Chinese Text Simplification Dataset](https://aclanthology.org/2024.lrec-main.969/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
81. [MDS: A Fine-Grained Dataset for Multi-Modal Dialogue Summarization](https://aclanthology.org/2024.lrec-main.970/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
82. [MEEL: Multi-Modal Event Evolution Learning](https://aclanthology.org/2024.findings-acl.528/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
83. [MELD-ST: An Emotion-aware Speech Translation Dataset](https://aclanthology.org/2024.findings-acl.601/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
84. [MERA: A Comprehensive LLM Evaluation in Russian](https://aclanthology.org/2024.acl-long.534/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [METAL: Towards Multilingual Meta-Evaluation](https://aclanthology.org/2024.findings-naacl.148/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
86. [MGSA: Multi-Granularity Graph Structure Attention for Knowledge Graph-to-Text Generation](https://arxiv.org/abs/2409.10294) *— 2024 · arXiv:2409.10294*
87. [MLBMIKABR at “Discharge Me!”: Concept Based Clinical Text Description Generation](https://aclanthology.org/2024.bionlp-1.66/) *— 2024 · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing*
88. [MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark](https://arxiv.org/abs/2402.04788) *— 2024 · arXiv:2402.04788*
89. [MLT-DR: Multi-Lingual/Task Demonstration Retrieval An Attempt towards Generalized Retriever for In-Context Learning](https://aclanthology.org/2024.mrl-1.27/) *— 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)*
90. [MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering](https://aclanthology.org/2024.findings-acl.296/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
91. [MM-SOC: Benchmarking Multimodal Large Language Models in Social Media Platforms](https://aclanthology.org/2024.findings-acl.370/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
92. [MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization](https://aclanthology.org/2024.lrec-main.999/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
93. [MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding](https://arxiv.org/abs/2407.04903) *— 2024 · arXiv:2407.04903*
94. [MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language](https://aclanthology.org/2024.emnlp-main.634/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
95. [MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning](https://aclanthology.org/2024.findings-acl.69/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
96. [MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization](https://aclanthology.org/2024.findings-emnlp.577/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
97. [MORPHEUS: Modeling Role from Personalized Dialogue History by Exploring and Utilizing Latent Space](https://aclanthology.org/2024.emnlp-main.437/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
98. [MP2D: An Automated Topic Shift Dialogue Generation Framework Leveraging Knowledge Graphs](https://aclanthology.org/2024.emnlp-main.979/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
99. [MPCoder: Multi-user Personalized Code Generator with Explicit and Implicit Style Representation Learning](https://aclanthology.org/2024.acl-long.207/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [MS2SL: Multimodal Spoken Data-Driven Continuous Sign Language Production](https://aclanthology.org/2024.findings-acl.432/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [26](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/26/) · **27** · [28](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/28/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)