---
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/13/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 13

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/) · … · [12](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/12/) · **13** · [14](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/14/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [GuRE:Generative Query REwriter for Legal Passage Retrieval](https://aclanthology.org/2025.nllp-1.31/) *— 2025 · Proceedings of the Natural Legal Language Processing Workshop 2025*
2. [Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents](https://aclanthology.org/2025.findings-emnlp.819/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
3. [HARE: an entity and relation centric evaluation framework for histopathology reports](https://aclanthology.org/2025.findings-emnlp.490/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
4. [HAWK: Highlighting Entity-aware Knowledge for Alleviating Information Sparsity in Long Contexts](https://aclanthology.org/2025.findings-emnlp.708/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
5. [HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation](https://aclanthology.org/2025.iwslt-1.14/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
6. [HPSS: Heuristic Prompting Strategy Search for LLM Evaluators](https://aclanthology.org/2025.findings-acl.1282/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
7. [HW-TSC at Multilingual Counterspeech Generation](https://aclanthology.org/2025.mcg-1.6/) *— 2025 · Proceedings of the First Workshop on Multilingual Counterspeech Generation*
8. [Hallucination Detection with Small Language Models](https://arxiv.org/abs/2506.22486) *— 2025 · arXiv:2506.22486 · Hallucination Detection with Small Language Models, IEEE International Conference on Data Engineering (ICDE), Workshop, 2025*
9. [Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics](https://aclanthology.org/2025.ijcnlp-long.137/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
10. [Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training](https://aclanthology.org/2025.coling-main.640/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
11. [Harmonizing Diverse Models: A Layer-wise Merging Strategy for Consistent Generation](https://aclanthology.org/2025.emnlp-industry.64/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track*
12. [Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress](https://aclanthology.org/2025.acl-short.63/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
13. [Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking](https://aclanthology.org/2025.acl-long.110/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
14. [Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies](https://aclanthology.org/2025.naacl-long.379/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
15. [Hello Again! LLM-powered Personalized Agent for Long-term Dialogue](https://aclanthology.org/2025.naacl-long.272/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
16. [HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation](https://aclanthology.org/2025.findings-emnlp.593/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
17. [HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights](https://arxiv.org/abs/2505.04846) *— 2025 · arXiv:2505.04846*
18. [Hierarchical Long-Document Summarization using LED for Legal Judgments](https://aclanthology.org/2025.justnlp-main.22/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
19. [How Far Are AI Scientists from Changing the World?](https://arxiv.org/abs/2507.23276) *— 2025 · arXiv:2507.23276*
20. [How Real Are Synthetic Therapy Conversations? Evaluating Fidelity in Prolonged Exposure Dialogues](https://aclanthology.org/2025.findings-emnlp.1144/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
21. [How Reliable is Multilingual LLM-as-a-Judge?](https://aclanthology.org/2025.findings-emnlp.587/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
22. [How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation](https://arxiv.org/abs/2511.09748) *— 2025 · arXiv:2511.09748*
23. [How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations](https://aclanthology.org/2025.sigdial-1.15/) *— 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
24. [How Well Can Large Language Models Reflect? A Human Evaluation of LLM-generated Reflections for Motivational Interviewing Dialogues](https://aclanthology.org/2025.coling-main.135/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
25. [How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models](https://aclanthology.org/2025.findings-naacl.253/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
26. [How Well Do LLMs Understand Tunisian Arabic?](https://arxiv.org/abs/2511.16683) *— 2025 · arXiv:2511.16683*
27. [How “Real” is Your Real-Time Simultaneous Speech-to-Text Translation System?](https://aclanthology.org/2025.tacl-1.14/) *— 2025 · Transactions of the Association for Computational Linguistics*
28. [How to Evaluate Speech Translation with Source-Aware Neural MT Metrics](https://arxiv.org/abs/2511.03295) *— 2025 · arXiv:2511.03295*
29. [How to Select Datapoints for Efficient Human Evaluation of NLG Models?](https://aclanthology.org/2025.tacl-1.80/) *— 2025 · Transactions of the Association for Computational Linguistics*
30. [Human- or machine-translated subtitles: Who can tell them apart?](https://aclanthology.org/2025.mtsummit-1.39/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
31. [Hunyuan-MT Technical Report](https://arxiv.org/abs/2509.05209) *— 2025 · arXiv:2509.05209*
32. [Hyderabadi Pearls at Multilingual Counterspeech Generation : HALT : Hate Speech Alleviation using Large Language Models and Transformers](https://aclanthology.org/2025.mcg-1.8/) *— 2025 · Proceedings of the First Workshop on Multilingual Counterspeech Generation*
33. [IHEval: Evaluating Language Models on Following the Instruction Hierarchy](https://aclanthology.org/2025.naacl-long.425/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
34. [IIITH-BUT system for IWSLT 2025 low-resource Bhojpuri to Hindi speech translation](https://aclanthology.org/2025.iwslt-1.34/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
35. [IRR: Image Review Ranking Framework for Evaluating Vision-Language Models](https://aclanthology.org/2025.coling-main.665/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
36. [ITALERT: Assessing the Quality of LLMs and NMT in Translating Italian Emergency Response Text](https://aclanthology.org/2025.mtsummit-1.43/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
37. [IberoBench: A Benchmark for LLM Evaluation in Iberian Languages](https://aclanthology.org/2025.coling-main.699/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
38. [Ibom NLP: A Step Toward Inclusive Natural Language Processing for Nigeria”s Minority Languages](https://aclanthology.org/2025.ijcnlp-long.22/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
39. [Identification de mesures d'évaluation fiables pour la révision de textes scientifiques](https://aclanthology.org/2025.jeptalnrecital-taln.25/) *— 2025 · Actes des 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 1 : articles scientifiques originaux*
40. [Identifying Reliable Evaluation Metrics for Scientific Text Revision](https://aclanthology.org/2025.acl-long.335/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [Identifying and Answering Questions with False Assumptions: An Interpretable Approach](https://aclanthology.org/2025.emnlp-main.1228/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
42. [If I feel smart, I will do the right thing: Combining Complementary Multimodal Information in Visual Language Models](https://aclanthology.org/2025.evalmg-1.3/) *— 2025 · Proceedings of the First Workshop of Evaluation of Multi-Modal Generation*
43. [Image Difference Captioning via Adversarial Preference Optimization](https://aclanthology.org/2025.emnlp-main.1713/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
44. [Image Embedding Sampling Method for Diverse Captioning](https://aclanthology.org/2025.emnlp-main.156/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
45. [Image-Text Relation Prediction for Multilingual Tweets](https://aclanthology.org/2025.nbreal-1.4/) *— 2025 · Proceedings of the 1st Workshop on Nordic-Baltic Responsible Evaluation and Alignment of Language Models (NB-REAL 2025)*
46. [ImageEval 2025: The First Arabic Image Captioning Shared Task](https://aclanthology.org/2025.arabicnlp-sharedtasks.52/) *— 2025 · Proceedings of The Third Arabic Natural Language Processing Conference: Shared Tasks*
47. [Imagination and Contemplation: A Balanced Framework for Semantic-Augmented Multimodal Machine Translation](https://aclanthology.org/2025.findings-emnlp.579/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
48. [ImgTrojan: Jailbreaking Vision-Language Models with ONE Image](https://aclanthology.org/2025.naacl-long.360/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
49. [Implementing Long Text Style Transfer with LLMs through Dual-Layered Sentence and Paragraph Structure Extraction and Mapping](https://arxiv.org/abs/2505.07888) *— 2025 · arXiv:2505.07888*
50. [Improvement in Sign Language Translation Using Text CTC Alignment](https://aclanthology.org/2025.coling-main.219/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
51. [Improving Alignment in LVLMs with Debiased Self-Judgment](https://aclanthology.org/2025.findings-emnlp.436/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
52. [Improving Chemical Understanding of LLMs via SMILES Parsing](https://aclanthology.org/2025.emnlp-main.791/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
53. [Improving Cross Lingual Transfer by Pretraining with Active Forgetting](https://aclanthology.org/2025.emnlp-main.120/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
54. [Improving Estonian Text Simplification through Pretrained Language Models and Custom Datasets](https://aclanthology.org/2025.ranlp-1.16/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
55. [Improving Factual Accuracy in Neural Data-to-Text Generation through Input Quality and Scalable Evaluation](https://aclanthology.org/2025.ynlg-main.3/) *— 2025 · Proceedings of the 1st Workshop for Young Researchers in Natural Language Generation*
56. [Improving LLMs for Machine Translation Using Synthetic Preference Data](https://aclanthology.org/2025.luhme-1.7/) *— 2025 · Proceedings of the 2nd LUHME Workshop*
57. [Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation](https://aclanthology.org/2025.mrl-main.13/) *— 2025 · Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)*
58. [Improving Low-Resource Japanese Translation with Fine-Tuning and Backtranslation for the WMT 25 General Translation Task](https://aclanthology.org/2025.wmt-1.52/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
59. [Improving Multilingual Sign Language Translation with Automatically Clustered Language Family Information](https://aclanthology.org/2025.coling-main.241/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
60. [Improving Sign Language Understanding with a Multi-Stream Masked Autoencoder Trained on ASL Videos](https://aclanthology.org/2025.ijcnlp-long.66/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
61. [Improving Text Style Transfer using Masked Diffusion Language Models with Inference-time Scaling](https://arxiv.org/abs/2508.10995) *— 2025 · arXiv:2508.10995*
62. [Improving Zero-shot Sentence Decontextualisation with Content Selection and Planning](https://aclanthology.org/2025.emnlp-main.1258/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
63. [Improving the Calibration of Confidence Scores in Text Generation Using the Output Distribution's Characteristics](https://aclanthology.org/2025.acl-short.15/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
64. [Improving the Quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristics](https://aclanthology.org/2025.emnlp-main.1435/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
65. [In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation](https://aclanthology.org/2025.findings-naacl.68/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
66. [InImageTrans: Multimodal LLM-based Text Image Machine Translation](https://aclanthology.org/2025.findings-acl.1039/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
67. [Inclusive Leadership in the Age of AI: A Dataset and Comparative Study of LLMs vs. Real-Life Leaders in Workplace Action Planning](https://aclanthology.org/2025.findings-emnlp.1075/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
68. [Incorporating Lexicon-Aligned Prompting in Large Language Model for Tangut–Chinese Translation](https://aclanthology.org/2025.alp-1.16/) *— 2025 · Proceedings of the Second Workshop on Ancient Language Processing*
69. [Incorporating Review-missing Interactions for Generative Explainable Recommendation](https://aclanthology.org/2025.coling-main.527/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
70. [IndiMathBench: Autoformalizing Mathematical Reasoning Problems with a Human Touch](https://arxiv.org/abs/2512.00997) *— 2025 · arXiv:2512.00997*
71. [Indic-S2ST: a Multilingual and Multimodal Many-to-Many Indic Speech-to-Speech Translation Dataset](https://aclanthology.org/2025.ijcnlp-long.196/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
72. [Inductive Linguistic Reasoning with Large Language Models](https://aclanthology.org/2025.findings-acl.1171/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
73. [Input Matters: Evaluating Input Structure”s Impact on LLM Summaries of Sports Play-by-Play](https://aclanthology.org/2025.inlg-main.46/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
74. [InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery](https://aclanthology.org/2025.coling-main.25/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
75. [Instruction-tuned Large Language Models for Machine Translation in the Medical Domain](https://aclanthology.org/2025.mtsummit-1.13/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
76. [Integrating Visual Modalities with Large Language Models for Mental Health Support](https://aclanthology.org/2025.coling-main.599/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
77. [IntentionESC: An Intention-Centered Framework for Enhancing Emotional Support in Dialogue Systems](https://aclanthology.org/2025.findings-acl.1358/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
78. [IntentionFrame: A Semi-Structured, Multi-Aspect Framework for Fine-Grained Conversational Intention Understanding](https://aclanthology.org/2025.emnlp-main.1427/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
79. [Interactive AI NPCs Powered by LLMs: Technical Report for the CPDC Challenge 2025](https://arxiv.org/abs/2511.20200) *— 2025 · arXiv:2511.20200*
80. [Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History](https://aclanthology.org/2025.conll-1.4/) *— 2025 · Proceedings of the 29th Conference on Computational Natural Language Learning*
81. [Intrinsic Test of Unlearning Using Parametric Knowledge Traces](https://aclanthology.org/2025.emnlp-main.985/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
82. [Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn”t Help with MT Evaluation](https://aclanthology.org/2025.mtsummit-1.20/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
83. [Introducing Quality Estimation to Machine Translation Post-editing Workflow: An Empirical Study on Its Usefulness](https://aclanthology.org/2025.mtsummit-1.38/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
84. [Investigating Hallucinations in Simultaneous Machine Translation: Knowledge Distillation Solution and Components Analysis](https://aclanthology.org/2025.naacl-long.364/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
85. [Investigating Length Issues in Document-level Machine Translation](https://aclanthology.org/2025.mtsummit-1.3/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
86. [Investigating Omission as a Latency Reduction Strategy in Simultaneous Speech Translation](https://aclanthology.org/2025.findings-ijcnlp.138/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
87. [Investigating the Effect of Backtranslation for Indic Languages](https://aclanthology.org/2025.indonlp-1.18/) *— 2025 · Proceedings of the First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages*
88. [Investigating the translation capabilities of Large Language Models trained on parallel data only](https://aclanthology.org/2025.mtsummit-1.4/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
89. [Is Translation All You Need? A Study on Solving Multilingual Tasks with Large Language Models](https://aclanthology.org/2025.naacl-long.485/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
90. [Isolating LLM Performance Gains in Pre-training versus Instruction-tuning for Mid-resource Languages: The Ukrainian Benchmark Study](https://aclanthology.org/2025.ranlp-1.100/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
91. [It Takes Two: A Dual Stage Approach for Terminology-Aware Translation](https://aclanthology.org/2025.wmt-1.112/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
92. [It's Not a Walk in the Park! Challenges of Idiom Translation in Speech-to-text Systems](https://aclanthology.org/2025.acl-long.1512/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [Iterative Critique-Driven Simplification: Targeted Enhancement of Complex Definitions with Small Language Models](https://aclanthology.org/2025.findings-ijcnlp.64/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
94. [Iterative Layer Pruning for Efficient Translation Inference](https://aclanthology.org/2025.wmt-1.78/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
95. [JGU Mainz”s Submission to the WMT25 Shared Task on LLMs with Limited Resources for Slavic Languages: MT and QA](https://aclanthology.org/2025.wmt-1.89/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
96. [JHU WMT 2025 CreoleMT System Description: Data for Belizean Kriol and French Guianese Creole MT](https://aclanthology.org/2025.wmt-1.93/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
97. [JHU's Submission to the AmericasNLP 2025 Shared Task on the Creation of Educational Materials for Indigenous Languages](https://aclanthology.org/2025.americasnlp-1.12/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
98. [JMedBench: A Benchmark for Evaluating Japanese Biomedical Large Language Models](https://aclanthology.org/2025.coling-main.395/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
99. [JNLP at SemEval-2025 Task 1: Multimodal Idiomaticity Representation with Large Language Models](https://aclanthology.org/2025.semeval-1.195/) *— 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*
100. [JU-CSE-NLP's Cascaded Speech to Text Translation Systems for IWSLT 2025 in Indic Track](https://aclanthology.org/2025.iwslt-1.18/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [12](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/12/) · **13** · [14](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/14/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)