Mova0.5 pre-release⌕
☰
home / docs / papers / cited-by / Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 22

Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 22

10821 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Pages: 1 · 2 · 3 · 4 · 5 · 6 · 7 · 8 · 9 · 10 · 11 · 12 · 13 · 14 · 15 · 16 · 17 · 18 · 19 · 20 · 21 · 22 · 23 · 24 · 25 · 26 · 27 · 28 · 29 · 30 · 31 · 32 · 33 · 34 · 35 · 36 · 37 · 38 · 39 · 40 · 41 · 42 · 43 · 44 · 45 · 46 · 47 · 48 · 49 · 50 · 51 · 52 · 53 · 54 · 55 · 56 · 57 · 58 · 59 · 60 · 61 · 62 · 63 · 64 · 65 · 66 · 67 · 68 · 69 · 70 · 71 · 72 · 73 · 74 · 75 · 76 · 77 · 78 · 79 · 80 · 81 · 82 · 83 · 84 · 85 · 86 · 87 · 88 · 89 · 90 · 91 · 92 · 93 · 94 · 95 · 96 · 97 · 98 · 99 · 100 · 101 · 102 · 103 · 104 · 105 · 106 · 107 · 108 · 109

  1. Evaluating pragmatic abilities of image captioners on A3DS — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  2. Evaluating the Efficacy of Length-Controllable Machine Translation — 2023 · arXiv:2305.02300
  3. Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  4. Evaluation of Question Generation Needs More References — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  5. Execution-Based Evaluation for Open-Domain Code Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  6. Execution-based Code Generation using Deep Reinforcement Learning — 2023 · arXiv:2301.13816 · Transactions on Machine Learning Research (TMLR), 2023
  7. Explanation Regeneration via Information Bottleneck — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  8. Explicit Syntactic Guidance for Neural Text Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  9. Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  10. Exploring Automatic Text Simplification of German Narrative Documents — 2023 · Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
  11. Exploring Better Text Image Translation with Multimodal Codebook — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  12. Exploring Context-Aware Evaluation Metrics for Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  13. Exploring Continual Learning for Code Generation Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  14. Exploring In-Context Learning for Knowledge Grounded Dialog Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  15. Exploring Paracrawl for Document-level Neural Machine Translation — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  16. Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  17. Exploring and Verbalizing Academic Ideas by Concept Co-occurrence — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  18. Exploring the Capabilities of ChatGPT for Lexicographical Purposes: A Comparison with Oxford Advanced Learner''s Dictionary within the Microstructural Framework — 2023 · eLex 2023 (Brno), pp. 345–375
  19. Exploring the State of the Art in Legal QA Systems — 2023 · arXiv:2304.06623 · J Big Data 10, 127 (2023)
  20. Expository Text Generation: Imitate, Retrieve, Paraphrase — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  21. Extrapolating Large Language Models to Non-English by Aligning Languages — 2023 · arXiv:2308.04948
  22. Extrinsic Evaluation of Machine Translation Metrics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  23. FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  24. FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  25. FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
  26. FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation — 2023 · Transactions of the Association for Computational Linguistics
  27. FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  28. Faithful Low-Resource Data-to-Text Generation through Cycle Training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  29. Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  30. Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  31. FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  32. Fiction-Writing Mode: An Effective Control for Human-Machine Collaborative Writing — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
  33. Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  34. Filtering Matters: Experiments in Filtering Training Sets for Machine Translation — 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
  35. Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet — 2023 · Proceedings of the Eighth Conference on Machine Translation
  36. Findings of the VarDial Evaluation Campaign 2023 — 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)
  37. Findings of the WMT 2023 Shared Task on Automatic Post-Editing — 2023 · Proceedings of the Eighth Conference on Machine Translation
  38. Findings of the WMT 2023 Shared Task on Parallel Data Curation — 2023 · Proceedings of the Eighth Conference on Machine Translation
  39. Fine-tuning and aligning question answering models for complex information extraction tasks — 2023 · arXiv:2309.14805
  40. Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models — 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)
  41. Fluency Matters! Controllable Style Transfer with Syntax Guidance — 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
  42. Focus-aware Response Generation in Inquiry Conversation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  43. Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  44. Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  45. FollowupQG: Towards information-seeking follow-up question generation — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  46. From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery — 2023 · arXiv:2309.05203
  47. From Chaos to Clarity: Claim Normalization to Empower Fact-Checking — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  48. G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  49. GATE: A Challenge Set for Gender-Ambiguous Translation Examples — 2023 · arXiv:2303.03975
  50. GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4 — 2023 · Proceedings of the Eighth Conference on Machine Translation
  51. GPTScore: Evaluate as You Desire — 2023 · arXiv:2302.04166
  52. GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  53. GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  54. Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  55. Gender Biases in Automatic Evaluation Metrics for Image Captioning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  56. Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges — 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies
  57. Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  58. Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models — 2023 · arXiv:2302.04662
  59. Generative Judge for Evaluating Alignment — 2023 · arXiv:2310.05470
  60. Generative Knowledge Selection for Knowledge-Grounded Dialogues — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  61. Gloss-Free End-to-End Sign Language Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  62. Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems — 2023 · arXiv:2306.05882 · Hermes Journal of Language and Communication in Business no 63 2023
  63. Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  64. Grammatical Error Correction through Round-Trip Machine Translation — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  65. Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
  66. HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  67. HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales — 2023 · Proceedings of the 16th International Natural Language Generation Conference
  68. HW-TSC's Participation in the WMT 2023 Automatic Post Editing Shared Task — 2023 · Proceedings of the Eighth Conference on Machine Translation
  69. Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  70. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond — 2023 · arXiv:2304.13712
  71. Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  72. Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  73. Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  74. Hierarchical Catalogue Generation for Literature Review: A Benchmark — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  75. High-quality argumentative information in low resources approaches improve counter-narrative generation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  76. HistAlign: Improving Context Dependency in Language Generation by Aligning with History — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  77. Hospital Discharge Summarization Data Provenance — 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
  78. How About Kind of Generating Hedges using End-to-End Neural Models? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  79. How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization? — 2023 · arXiv:2306.01248
  80. How Well Apply Simple MLP to Incomplete Utterance Rewriting? — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  81. How do decoding algorithms distribute information in dialogue responses? — 2023 · Findings of the Association for Computational Linguistics: EACL 2023
  82. How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  83. Human-in-the-loop Machine Translation with Large Language Model — 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track
  84. I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  85. IC3: Image Captioning by Committee Consensus — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  86. ICE-Score: Instructing Large Language Models to Evaluate Code — 2023 · arXiv:2304.14317
  87. INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  88. INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  89. ISLTranslate: Dataset for Translating Indian Sign Language — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  90. Importance of Synthesizing High-quality Data for Text-to-SQL Parsing — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  91. Improved Instruction Ordering in Recipe-Grounded Conversation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  92. Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  93. Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
  94. Improving Language Model Integration for Neural Machine Translation — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  95. Improving Long Context Document-Level Machine Translation — 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)
  96. Improving Medical Dialogue Generation with Abstract Meaning Representations — 2023 · arXiv:2309.10608
  97. Improving Metrics for Speech Translation — 2023 · Proceedings of the 8th edition of the Swiss Text Analytics Conference
  98. Improving Multimodal Datasets with Image Captioning — 2023 · arXiv:2307.10350
  99. Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning — 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)
  100. Improving Neural Machine Translation of Indigenous Languages with Multilingual Transfer Learning — 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)

Pages: 1 · 2 · 3 · 4 · 5 · 6 · 7 · 8 · 9 · 10 · 11 · 12 · 13 · 14 · 15 · 16 · 17 · 18 · 19 · 20 · 21 · 22 · 23 · 24 · 25 · 26 · 27 · 28 · 29 · 30 · 31 · 32 · 33 · 34 · 35 · 36 · 37 · 38 · 39 · 40 · 41 · 42 · 43 · 44 · 45 · 46 · 47 · 48 · 49 · 50 · 51 · 52 · 53 · 54 · 55 · 56 · 57 · 58 · 59 · 60 · 61 · 62 · 63 · 64 · 65 · 66 · 67 · 68 · 69 · 70 · 71 · 72 · 73 · 74 · 75 · 76 · 77 · 78 · 79 · 80 · 81 · 82 · 83 · 84 · 85 · 86 · 87 · 88 · 89 · 90 · 91 · 92 · 93 · 94 · 95 · 96 · 97 · 98 · 99 · 100 · 101 · 102 · 103 · 104 · 105 · 106 · 107 · 108 · 109

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-22/