---
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/2/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 2

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/) · **2** · [3](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/3/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding](https://aclanthology.org/2026.findings-acl.1755/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
2. [CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria](https://aclanthology.org/2026.findings-acl.982/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
3. [CEFR-Cymraeg: A Dataset and Baseline Models for Language Proficiency Assessment in Welsh](https://aclanthology.org/2026.lrec-1.279/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
4. [CEMT:Controllable Element-Oriented Machine Translation via Structured Linguistic Reasoning](https://aclanthology.org/2026.findings-acl.1882/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
5. [CLAG: Adaptive Memory Organization via Agent-Driven Clustering for Small Language Model Agents](https://aclanthology.org/2026.findings-acl.824/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
6. [CLASE: A Hybrid Method for Chinese Legalese Stylistic Evaluation](https://aclanthology.org/2026.lrec-1.46/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
7. [CLewR: Curriculum Learning with Restarts for Machine Translation Preference Learning](https://aclanthology.org/2026.findings-acl.1024/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
8. [CNSocialDepress: A Chinese Social Media Dataset for Depression Risk Detection and Structured Analysis](https://aclanthology.org/2026.rapid-1.8/) *— 2026 · Proceedings of the Sixth Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments in cooperation with the MENTAL.ai consortium*
9. [COILD: An Indic-Centric Parallel Corpus and Benchmark for Machine Translation Across Indian Languages](https://arxiv.org/abs/2609.28826) *— 2026 · arXiv:2609.28826*
10. [CPR-RAG: Clinical Prior-Regularized Retrieval for Anatomy-Aware 3D CT Report Generation](https://aclanthology.org/2026.acl-long.1411/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation](https://aclanthology.org/2026.acl-long.2038/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [CTC Regularization for Low-Resource Speech-to-Text Translation](https://aclanthology.org/2026.loresmt-1.15/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
13. [CaTS-Bench: Can Language Models Describe Time Series?](https://aclanthology.org/2026.findings-acl.1722/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
14. [Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future](https://aclanthology.org/2026.acl-long.1504/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Can LLMs Act as Historians? Evaluating Historical Research Capabilities of LLMs via the Chinese Imperial Examination](https://aclanthology.org/2026.acl-long.1378/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from Aggregation](https://aclanthology.org/2026.findings-acl.1473/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
17. [Can LLMs Translate Italy's Language Varieties?](https://aclanthology.org/2026.loresmt-1.5/) *— 2026 · Proceedings for the Ninth Workshop on Technologies for Machine Translation of Low Resource Languages (LoResMT 2026)*
18. [Can Small Vision–Language Models Perform Sign Language Translation?](https://aclanthology.org/2026.findings-acl.1609/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
19. [Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics](https://aclanthology.org/2026.findings-acl.1772/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
20. [Can We Triage LLM Translation Errors in Classical Texts Without Human References? Source Novelty, GEMBA Scoring, and Budgeted Review through Pali-to-English Translation](https://arxiv.org/abs/2609.14963) *— 2026 · arXiv:2609.14963*
21. [Capabilities and Evaluation Biases of Large Language Models in Classical Chinese Poetry Generation: A Case Study on Tang Poetry](https://aclanthology.org/2026.findings-acl.836/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
22. [Causal-ESC: Reliable Policy Learning for Emotional Support Conversation via Causal Inference](https://aclanthology.org/2026.acl-long.886/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [Cetvel: A Unified Benchmark for Evaluating Language Understanding, Generation and Cultural Capacity of LLMs for Turkish](https://aclanthology.org/2026.eacl-long.46/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Challenging the Myth: A Research Arc on LLMs as Human Simulacra](https://aclanthology.org/2026.bigpicture-main.4/) *— 2026 · Proceedings of The Big Picture v2: Crafting a Research Narrative*
25. [Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs](https://aclanthology.org/2026.eacl-long.24/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [ChangJuan: A Comprehensive Benchmark for Book-Length Chinese Story Evaluation](https://aclanthology.org/2026.findings-acl.2044/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
27. [CheMM-R1: Enhancing Chemical Structure Recognition and Elucidation with Reasoning Multimodal Large Language Models](https://aclanthology.org/2026.findings-acl.1341/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
28. [Check Your Work: Structured Checklist Feedback for Improving Large Language Models](https://aclanthology.org/2026.acl-long.759/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental Chemistry](https://aclanthology.org/2026.acl-long.1535/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Chronological Thinking in Full-Duplex Spoken Dialogue Language Models](https://aclanthology.org/2026.sigdial-1.33/) *— 2026 · Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
31. [CoDial: Interpretable Task-Oriented Dialogue Systems Through Dialogue Flow Alignment](https://aclanthology.org/2026.acl-long.1980/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors](https://aclanthology.org/2026.findings-acl.737/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
33. [CoTERM: A Consistency-Oriented Term Metric for MT System Evaluation](https://aclanthology.org/2026.lrec-1.682/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
34. [CoachLah: A Singlish–English Parallel Corpus of Health Coaching Conversations with Behavior Goal Annotations](https://aclanthology.org/2026.lrec-1.3/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
35. [CodeClarity: A Framework and Benchmark for Evaluating Multilingual Code Summarization](https://aclanthology.org/2026.lrec-1.511/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
36. [CodegenBench: Can LLMs Write Efficient Code Across Architectures?](https://arxiv.org/abs/2606.04023) *— 2026 · arXiv:2606.04023*
37. [CogGen: A Cognitively Inspired Recursive Framework for Deep Research Report Generation](https://aclanthology.org/2026.findings-acl.296/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
38. [Compact Language Models with Iterative Text Refinement for Health Dialogue Summarization](https://aclanthology.org/2026.eacl-long.105/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Comparative Evaluation of Machine Translation Systems on Images with Text](https://arxiv.org/abs/2605.29476) *— 2026 · arXiv:2605.29476*
40. [Comparing Human and AI-Assisted Evaluation of Interpreting Performance: A diagnostic study using ChatGPT-4o](https://www.jostrans.org/article/view/8425) *— 2026 · The Journal of Specialised Translation (JoSTrans)*
41. [Completely Modular Fine-tuning for Dynamic Language Adaptation](https://aclanthology.org/2026.findings-eacl.252/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
42. [ConGA: Guidelines for Contextual Gender Annotation. a Framework for Annotating Gender in Machine Translation](https://aclanthology.org/2026.lrec-1.320/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
43. [Conditioning LLMs to Generate Code-Switched Text](https://aclanthology.org/2026.lrec-1.703/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
44. [Context-8: A Data Set for Evaluating Context Sensitivity in Machine Translation](https://aclanthology.org/2026.lrec-1.385/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
45. [Context-Driven and Reference-Guided Data Augmentation for Subtitle Translation](https://aclanthology.org/2026.findings-acl.2059/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
46. [Controllable Sentence Simplification in Italian: Fine-Tuning Large Language Models on Automatically Generated Resources](https://aclanthology.org/2026.lrec-1.570/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
47. [Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPT](https://aclanthology.org/2026.lrec-1.228/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
48. [Conversational Control with Ontologies for Large Language Models: A Lightweight Framework for Constrained Generation](https://aclanthology.org/2026.kallm-1.3/) *— 2026 · Proceedings of the Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26*
49. [CoreGaze: Core Subgraph-Driven Visual Gaze Diffusion for Training-Free Referring Multimodal Large Language Models](https://aclanthology.org/2026.acl-long.57/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [Counter-Hypothesis Generation: Towards Evaluating How LLMs Reason about Alternatives](https://aclanthology.org/2026.lrec-1.424/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
51. [Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations](https://aclanthology.org/2026.eamt-1.43/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
52. [CrisiText: A dataset of warning messages for LLM training in emergency communication](https://aclanthology.org/2026.findings-eacl.350/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
53. [CrochetBench: Can Vision-Language Models Move from Describing to Doing in Crochet Domain?](https://aclanthology.org/2026.acl-long.604/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text Generation](https://aclanthology.org/2026.acl-long.1761/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness](https://arxiv.org/abs/2608.09766) *— 2026 · arXiv:2608.09766*
56. [Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues](https://aclanthology.org/2026.acl-long.963/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Current state of LLMs for Arabic dialectal machine translation](https://aclanthology.org/2026.abjadnlp-1.41/) *— 2026 · Proceedings of the 2nd Workshop on NLP for Languages Using Arabic Script*
58. [Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation](https://aclanthology.org/2026.findings-acl.332/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
59. [DART: Disambiguation-Aware Reasoning for Video-guided Machine Translation](https://aclanthology.org/2026.acl-long.352/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [DETECT: Determining Ease and Textual Clarity of German Text Simplifications](https://aclanthology.org/2026.eacl-long.131/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [DarwinTOD: LLM-Driven Lifelong Self-evolution for Task-oriented Dialog Systems](https://aclanthology.org/2026.acl-long.2050/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Data-Centric Continual Pre-training for 500+ Languages: A New Bilingual Translation Corpus and Multilingual Models](https://aclanthology.org/2026.findings-acl.937/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
63. [DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs](https://arxiv.org/abs/2604.13075) *— 2026 · arXiv:2604.13075*
64. [Debate, Deliberate, Decide (D3): A Cost-Aware Adversarial Framework for Reliable and Interpretable LLM Evaluation](https://aclanthology.org/2026.eacl-long.392/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
65. [DebateQA: Evaluating Question Answering on Debatable Knowledge](https://aclanthology.org/2026.findings-eacl.44/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
66. [Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing](https://aclanthology.org/2026.findings-acl.1131/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
67. [DeepTrans: Deep Reasoning Translation via Reinforcement Learning](https://aclanthology.org/2026.tacl-1.3/) *— 2026 · Transactions of the Association for Computational Linguistics*
68. [Degree Zero of Translation: Using Interlinear Baselines to Quantify Translator Intervention](https://aclanthology.org/2026.latechclfl-1.22/) *— 2026 · Proceedings of the 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature 2026*
69. [Desarrollo de modelos de TAN para las lenguas románicas de la península ibérica](http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/article/view/6833) *— 2026 · Procesamiento del Lenguaje Natural, Vol. 76 (2026)*
70. [DiFRa: A Unified Framework for Harmonizing Semantic Diversity and Factual Consistency in Question-Answer Generation](https://aclanthology.org/2026.findings-acl.1493/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
71. [Dial HEALTHDIAL for Advice: A Multilingual and Multi-Parallel Spoken Dialogue Dataset for Knowledge-Grounded Information Seeking](https://aclanthology.org/2026.findings-acl.1275/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
72. [DialectLLM: A Dialect-Aware Dialogue Generation Framework Beyond Standard American English](https://arxiv.org/abs/2601.22888) *— 2026 · arXiv:2601.22888*
73. [Directed Attention is All You Need: Profiling Style from Limited Text Data](https://aclanthology.org/2026.sigturk-1.2/) *— 2026 · Proceedings of the Second Workshop Natural Language Processing for Turkic Languages (SIGTURK 2026)*
74. [Disfluencies and ASR Performance on Swedish Spontaneous Speech from the `Trip to Stockholm' Discourse Narrative Task](https://aclanthology.org/2026.rapid-1.3/) *— 2026 · Proceedings of the Sixth Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments in cooperation with the MENTAL.ai consortium*
75. [Distilling the Thought, Watermarking the Answer: A Principle Semantic Guided Watermark for Large Reasoning Models](https://arxiv.org/abs/2601.05144) *— 2026 · arXiv:2601.05144*
76. [Divergent Thinking: Escape the Homogeneity Trap in Generative Commonsense Reasoning](https://aclanthology.org/2026.findings-acl.915/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
77. [Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across Domains](https://aclanthology.org/2026.eamt-1.6/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
78. [Diving into the Decoding Space of Non-Autoregressive Models via Lexically Constrained Search](https://aclanthology.org/2026.acl-short.74/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
79. [Do Evaluation Metrics Detect Errors in Classical Chinese to English Translations?](https://arxiv.org/abs/2608.08283) *— 2026 · arXiv:2608.08283*
80. [Do Image–Text Metrics Respect Semantic Invariances?](https://aclanthology.org/2026.findings-acl.1948/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
81. [Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023](https://aclanthology.org/2026.tacl-1.12/) *— 2026 · Transactions of the Association for Computational Linguistics*
82. [Do MLLMs Capture How Interfaces Guide User Behavior? A Benchmark for Multimodal UI/UX Design Understanding](https://aclanthology.org/2026.acl-long.2049/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks](https://aclanthology.org/2026.findings-acl.444/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
84. [Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models](https://aclanthology.org/2026.nslp-1.11/) *— 2026 · Proceedings of Natural Scientific Language Processing (NSLP) @ LREC 2026*
85. [Document Summarization for AI-based Post-Editing](https://aclanthology.org/2026.amta-research.11/) *— 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
86. [Don”t Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation](https://aclanthology.org/2026.findings-eacl.70/) *— 2026 · Findings of the Association for Computational Linguistics: EACL 2026*
87. [Don't Trust Generative Agents to Mimic Communication on Social Networks Unless You Benchmarked their Empirical Realism](https://aclanthology.org/2026.eacl-long.51/) *— 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [DualFact+: A Multimodal Fact Verification Framework for Procedural Video Captioning](https://aclanthology.org/2026.findings-acl.1912/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
89. [Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation](https://aclanthology.org/2026.acl-srw.80/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
90. [E-star 12B: Reliable Rubric-Following and Domain-Adaptive SLM Evaluator for Korean Industrial Settings](https://aclanthology.org/2026.gem-main.42/) *— 2026 · Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM)*
91. [EMA: An Episodic Memory Agent for Efficient and Selective Memory](https://aclanthology.org/2026.findings-acl.250/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
92. [EMPATH: An Ensemble Method for Automatic Fine-Grained Turn-Level Dialogue Empathy Evaluation with a Novel Emotional Distance Metric](https://aclanthology.org/2026.findings-acl.1790/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
93. [ES4R: Speech Encoding Based on Prepositive Affective Modeling for Empathetic Response Generation](https://aclanthology.org/2026.acl-long.1708/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [ETHICA-MT: Introducing a Framework and Dataset for Studying Ethical Orientations in LLM-based Machine Translation](https://aclanthology.org/2026.findings-acl.1098/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
95. [EduBench: A Portuguese Benchmark for Open-Ended Discursive Question Answering](https://aclanthology.org/2026.lrec-1.360/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
96. [Effect of Data Augmentation with Multi-View Perspectives of Signers on the DGS-Fabeln-1 Dataset](https://aclanthology.org/2026.signlang-1.44/) *— 2026 · Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion*
97. [Efficient Adaptation of English Language Models for Morphologically Rich and Underrepresented Languages: The Case of Arabic](https://aclanthology.org/2026.lrec-1.822/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
98. [Emotion Transcription in Conversation: A Benchmark for Capturing Subtle and Complex Emotional States through Natural Language](https://aclanthology.org/2026.lrec-1.761/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
99. [Emotion-aware text simplification of user generated content using LLMs](https://aclanthology.org/2026.wassa-1.10/) *— 2026 · The Proceedings for the 15th Workshop on Computational Approaches to Subjectivity, Sentiment Social Media Analysis (WASSA 2026)*
100. [EncouRAGe: Evaluating RAG Local, Reliable, and Efficient](https://aclanthology.org/2026.rag4reports-1.5/) *— 2026 · Proceedings of the 1st Workshop on Multilingual Report Generation via Retrieval Augmented Generation (RAG4Reports 2026)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · **2** · [3](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/3/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)