---
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/43/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 43

10821 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [42](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/42/) · **43** · [44](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/44/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity](https://arxiv.org/abs/2310.07521) *— 2023 · arXiv:2310.07521*
2. [SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish](https://arxiv.org/abs/2304.13994) *— 2023 · arXiv:2304.13994*
3. [Syntax-Aware Complex-Valued Neural Machine Translation](https://arxiv.org/abs/2307.08586) *— 2023 · arXiv:2307.08586*
4. [Syntax-Aware Retrieval Augmented Code Generation](https://aclanthology.org/2023.findings-emnlp.90/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
5. [Synthetic Pre-Training Tasks for Neural Machine Translation](https://aclanthology.org/2023.findings-acl.512/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
6. [System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator](https://aclanthology.org/2023.inlg-main.20/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
7. [Systematic Generalization by Finetuning? Analyzing Pretrained Language Models Using Constituency Tests](https://aclanthology.org/2023.blackboxnlp-1.27/) *— 2023 · Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP*
8. [T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics](https://aclanthology.org/2023.findings-emnlp.1014/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
9. [TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties](https://aclanthology.org/2023.arabicnlp-1.6/) *— 2023 · Proceedings of ArabicNLP 2023*
10. [TAVT: Towards Transferable Audio-Visual Text Generation](https://aclanthology.org/2023.acl-long.836/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering](https://arxiv.org/abs/2303.11897) *— 2023 · arXiv:2303.11897*
12. [TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks](https://arxiv.org/abs/2310.00752) *— 2023 · arXiv:2310.00752*
13. [TMU Feedback Comment Generation System Using Pretrained Sequence-to-Sequence Language Models](https://aclanthology.org/2023.inlg-genchal.10/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference: Generation Challenges*
14. [TOD-Flow: Modeling the Structure of Task-Oriented Dialogues](https://aclanthology.org/2023.emnlp-main.204/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
15. [TREA: Tree-Structure Reasoning Schema for Conversational Recommendation](https://aclanthology.org/2023.acl-long.167/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [TRIP: Accelerating Document-level Multilingual Pre-training via Triangular Document-level Pre-training on Parallel Data Triplets](https://aclanthology.org/2023.findings-emnlp.526/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
17. [TTIC's Submission to WMT-SLT 23](https://aclanthology.org/2023.wmt-1.35/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
18. [TableLlama: Towards Open Large Generalist Models for Tables](https://arxiv.org/abs/2311.09206) *— 2023 · arXiv:2311.09206*
19. [Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation](https://aclanthology.org/2023.acl-long.295/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [Tagged End-to-End Simultaneous Speech Translation Training Using Simultaneous Interpretation Data](https://aclanthology.org/2023.iwslt-1.34/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
21. [Tailoring Domain Adaptation for Machine Translation Quality Estimation](https://aclanthology.org/2023.eamt-1.2/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
22. [Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation](https://aclanthology.org/2023.findings-acl.644/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
23. [Target-Side Augmentation for Document-Level Machine Translation](https://aclanthology.org/2023.acl-long.599/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation](https://aclanthology.org/2023.emnlp-main.72/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
25. [Targeted Data Augmentation Improves Context-aware Neural Machine Translation](https://aclanthology.org/2023.mtsummit-research.25/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
26. [Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness](https://aclanthology.org/2023.gem-1.21/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
27. [Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond](https://aclanthology.org/2023.emnlp-main.944/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
28. [Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue System](https://aclanthology.org/2023.findings-acl.464/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
29. [Task-Oriented Conversational Modeling with Subjective Knowledge Track in DSTC11](https://aclanthology.org/2023.dstc-1.29/) *— 2023 · Proceedings of the Eleventh Dialog System Technology Challenge*
30. [TeCS: A Dataset and Benchmark for Tense Consistency of Machine Translation](https://aclanthology.org/2023.acl-short.164/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
31. [Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation](https://aclanthology.org/2023.eval4nlp-1.19/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
32. [TempLM: Distilling Language Models into Template-Based Generators](https://aclanthology.org/2023.findings-acl.124/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
33. [Terminology-Aware Translation with Constrained Decoding and Large Language Model Prompting](https://aclanthology.org/2023.wmt-1.80/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
34. [Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization](https://aclanthology.org/2023.acl-long.47/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Text Detoxification as Style Transfer in English and Hindi](https://aclanthology.org/2023.icon-1.13/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
36. [Text Embeddings Reveal (Almost) As Much As Text](https://aclanthology.org/2023.emnlp-main.765/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
37. [Text Fact Transfer](https://aclanthology.org/2023.emnlp-main.288/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
38. [Text Style Transfer Back-Translation](https://aclanthology.org/2023.acl-long.441/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Text Style Transfer with Contrastive Transfer Pattern Mining](https://aclanthology.org/2023.acl-long.439/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
40. [Text-to-Speech Pipeline for Swiss German -- A comparison](https://arxiv.org/abs/2305.19750) *— 2023 · arXiv:2305.19750*
41. [The 2023 WebNLG Shared Task on Low Resource Languages. Overview and Evaluation Results (WebNLG 2023)](https://aclanthology.org/2023.mmnlg-1.6/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
42. [The ACL OCL Corpus: Advancing Open Science in Computational Linguistics](https://aclanthology.org/2023.emnlp-main.640/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [The AST Submission for the CoCo4MT 2023 Shared Task on Corpus Construction for Low-Resource Machine Translation](https://aclanthology.org/2023.mtsummit-coco4mt.5/) *— 2023 · Proceedings of the Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation*
44. [The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning](https://aclanthology.org/2023.acl-long.529/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [The Dangers of trusting Stochastic Parrots: Faithfulness and Trust in Open-domain Conversational Question Answering](https://aclanthology.org/2023.findings-acl.60/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
46. [The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation](https://aclanthology.org/2023.wmt-1.100/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
47. [The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics](https://aclanthology.org/2023.eval4nlp-1.10/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
48. [The Glass Ceiling of Automatic Evaluation in Natural Language Generation](https://aclanthology.org/2023.findings-ijcnlp.16/) *— 2023 · Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 (Findings)*
49. [The Helsinki-NLP Submissions at NADI 2023 Shared Task: Walking the Baseline](https://aclanthology.org/2023.arabicnlp-1.73/) *— 2023 · Proceedings of ArabicNLP 2023*
50. [The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics](https://aclanthology.org/2023.acl-short.94/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
51. [The MAKE-NMTVIZ System Description for the WMT23 Literary Task](https://aclanthology.org/2023.wmt-1.30/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
52. [The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code](https://aclanthology.org/2023.findings-acl.574/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
53. [The Next Chapter: A Study of Large Language Models in Storytelling](https://aclanthology.org/2023.inlg-main.23/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
54. [The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models](https://aclanthology.org/2023.acl-demo.30/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
55. [The Role of Compounds in Human vs. Machine Translation Quality](https://aclanthology.org/2023.mtsummit-research.21/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
56. [The User-Aware Arabic Gender Rewriter](https://aclanthology.org/2023.gitt-1.1/) *— 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies*
57. [The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding](https://aclanthology.org/2023.findings-acl.351/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
58. [The Xiaomi AI Lab's Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task](https://aclanthology.org/2023.iwslt-1.39/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
59. [The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages](https://md.research.elamur.ai/free/en/papers/akerman-2023-ebible-corpus-data-model-benchmarks/) *— our card · 2023 · arXiv:2304.09919*
60. [Three Ways of Using Large Language Models to Evaluate Chat](https://aclanthology.org/2023.dstc-1.14/) *— 2023 · Proceedings of the Eleventh Dialog System Technology Challenge*
61. [Through the Lens of Core Competency: Survey on Evaluation of Large Language Models](https://arxiv.org/abs/2308.07902) *— 2023 · arXiv:2308.07902*
62. [TohokuNLP at SemEval-2023 Task 5: Clickbait Spoiling via Simple Seq2Seq Generation and Ensembling](https://aclanthology.org/2023.semeval-1.243/) *— 2023 · Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)*
63. [Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative](https://aclanthology.org/2023.wmt-1.59/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
64. [Tokenization and the Noiseless Channel](https://aclanthology.org/2023.acl-long.284/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
65. [Toward Human-Like Evaluation for Natural Language Generation with Error Analysis](https://aclanthology.org/2023.acl-long.324/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [Toward Unified Controllable Text Generation via Regular Expression Instruction](https://aclanthology.org/2023.ijcnlp-main.1/) *— 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)*
67. [Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory](https://aclanthology.org/2023.sustainlp-1.19/) *— 2023 · Proceedings of the Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)*
68. [Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity](https://aclanthology.org/2023.findings-emnlp.856/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
69. [Towards Better Evaluation for Formality-Controlled English-Japanese Machine Translation](https://aclanthology.org/2023.wmt-1.49/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
70. [Towards Controllable Natural Language Inference through Lexical Inference Types](https://arxiv.org/abs/2308.03581) *— 2023 · arXiv:2308.03581*
71. [Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation](https://arxiv.org/abs/2308.00240) *— 2023 · arXiv:2308.00240*
72. [Towards Effective Automatic Debt Collection with Persona Awareness](https://aclanthology.org/2023.emnlp-industry.4/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track*
73. [Towards End-to-End Open Conversational Machine Reading](https://aclanthology.org/2023.findings-eacl.154/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
74. [Towards Example-Based NMT with Multi-Levenshtein Transformers](https://aclanthology.org/2023.emnlp-main.113/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
75. [Towards Explainable Evaluation Metrics for Machine Translation](https://arxiv.org/abs/2306.13041) *— 2023 · arXiv:2306.13041 · Journal of Machine Learning Research (JMLR), 2024, vol. 25, no. 75, p. 1-49*
76. [Towards Faithful Dialogues via Focus Learning](https://aclanthology.org/2023.acl-long.250/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
77. [Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue](https://aclanthology.org/2023.acl-short.148/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
78. [Towards Formality-Aware Neural Machine Translation by Leveraging Context Information](https://aclanthology.org/2023.findings-emnlp.494/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
79. [Towards Higher Pareto Frontier in Multilingual Machine Translation](https://aclanthology.org/2023.acl-long.211/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [Towards Interpretable Mental Health Analysis with Large Language Models](https://aclanthology.org/2023.emnlp-main.370/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
81. [Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation](https://aclanthology.org/2023.emnlp-main.1018/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
82. [Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Language](https://aclanthology.org/2023.icon-1.28/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
83. [Towards Making the Most of ChatGPT for Machine Translation](https://aclanthology.org/2023.findings-emnlp.373/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
84. [Towards More Efficient Insertion Transformer with Fractional Positional Encoding](https://aclanthology.org/2023.eacl-main.115/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
85. [Towards Multilingual Automatic Open-Domain Dialogue Evaluation](https://aclanthology.org/2023.sigdial-1.11/) *— 2023 · Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
86. [Towards Real-World Streaming Speech Translation for Code-Switched Speech](https://aclanthology.org/2023.calcs-1.2/) *— 2023 · Proceedings of the 6th Workshop on Computational Approaches to Linguistic Code-Switching*
87. [Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture](https://aclanthology.org/2023.findings-acl.838/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
88. [Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization](https://aclanthology.org/2023.findings-acl.462/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
89. [Towards Understanding Omission in Dialogue Summarization](https://aclanthology.org/2023.acl-long.798/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Towards a Unified Framework for Reference Retrieval and Related Work Generation](https://aclanthology.org/2023.findings-emnlp.385/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
91. [Towards large language model-based personal agents in the enterprise: Current trends and open problems](https://aclanthology.org/2023.findings-emnlp.461/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
92. [Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation](https://aclanthology.org/2023.acl-long.371/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [Toxicity in Multilingual Machine Translation at Scale](https://aclanthology.org/2023.findings-emnlp.642/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
94. [Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages](https://aclanthology.org/2023.loresmt-1.1/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
95. [Training Data Extraction From Pre-trained Language Models: A Survey](https://aclanthology.org/2023.trustnlp-1.23/) *— 2023 · Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)*
96. [Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model](https://aclanthology.org/2023.paclic-1.78/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
97. [Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts](https://aclanthology.org/2023.acl-long.763/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [Training Transformers with 4-bit Integers](https://arxiv.org/abs/2306.11987) *— 2023 · arXiv:2306.11987*
99. [Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level](https://aclanthology.org/2023.wmt-1.96/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
100. [Training and integration of neural machine translation with MTUOC](https://aclanthology.org/2023.crowdmt-1.1/) *— 2023 · Proceedings of the 1st Workshop on Open Community-Driven Machine Translation*

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