---
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/53/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 53

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/) · … · [52](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/52/) · **53** · [54](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/54/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Text Characterization Toolkit (TCT)](https://aclanthology.org/2022.aacl-demo.9/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: System Demonstrations*
2. [Text Simplification of College Admissions Instructions: A Professionally Simplified and Verified Corpus](https://aclanthology.org/2022.coling-1.566/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
3. [Text Style Transferring via Adversarial Masking and Styled Filling](https://aclanthology.org/2022.emnlp-main.521/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
4. [Text-Only Training for Image Captioning using Noise-Injected CLIP](https://aclanthology.org/2022.findings-emnlp.299/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
5. [TextBox 2.0: A Text Generation Library with Pre-trained Language Models](https://aclanthology.org/2022.emnlp-demos.42/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
6. [Textless Speech Emotion Conversion using Discrete & Decomposed Representations](https://aclanthology.org/2022.emnlp-main.769/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
7. [Textomics: A Dataset for Genomics Data Summary Generation](https://aclanthology.org/2022.acl-long.335/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [The AISP-SJTU Simultaneous Translation System for IWSLT 2022](https://aclanthology.org/2022.iwslt-1.16/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
9. [The ARC-NKUA Submission for the English-Ukrainian General Machine Translation Shared Task at WMT22](https://aclanthology.org/2022.wmt-1.31/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
10. [The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses](https://aclanthology.org/2022.lrec-1.199/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
11. [The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation](https://aclanthology.org/2022.naacl-main.136/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
12. [The Ecological Footprint of Neural Machine Translation Systems](https://arxiv.org/abs/2202.02170) *— 2022 · arXiv:2202.02170*
13. [The Elementary Scenario Component Metric for Summarization Evaluation](https://aclanthology.org/2022.icnlsp-1.34/) *— 2022 · Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022)*
14. [The EuroPat Corpus: A Parallel Corpus of European Patent Data](https://aclanthology.org/2022.lrec-1.78/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
15. [The HW-TSC's Offline Speech Translation System for IWSLT 2022 Evaluation](https://aclanthology.org/2022.iwslt-1.20/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
16. [The HW-TSC's Simultaneous Speech Translation System for IWSLT 2022 Evaluation](https://aclanthology.org/2022.iwslt-1.21/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
17. [The HW-TSC's Speech to Speech Translation System for IWSLT 2022 Evaluation](https://aclanthology.org/2022.iwslt-1.26/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
18. [The LTRC Hindi-Telugu Parallel Corpus](https://aclanthology.org/2022.lrec-1.365/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
19. [The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems](https://aclanthology.org/2022.acl-long.261/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text](https://aclanthology.org/2022.lrec-1.96/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
21. [The SIGTYP 2022 Shared Task on the Prediction of Cognate Reflexes](https://aclanthology.org/2022.sigtyp-1.7/) *— 2022 · SIGTYP 2022 (NAACL workshop)*
22. [The Shared Task on Gender Rewriting](https://aclanthology.org/2022.wanlp-1.10/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
23. [The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT)](https://aclanthology.org/2022.wmt-1.115/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
24. [The Xiaomi Text-to-Text Simultaneous Speech Translation System for IWSLT 2022](https://aclanthology.org/2022.iwslt-1.17/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
25. [There Are a Thousand Hamlets in a Thousand People”s Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory](https://aclanthology.org/2022.acl-long.270/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning](https://aclanthology.org/2022.emnlp-main.123/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
27. [There is No Big Brother or Small Brother:Knowledge Infusion in Language Models for Link Prediction and Question Answering](https://aclanthology.org/2022.icon-main.26/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
28. [Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation](https://aclanthology.org/2022.acl-long.88/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Think Beyond Words: Exploring Context-Relevant Visual Commonsense for Diverse Dialogue Generation](https://aclanthology.org/2022.findings-emnlp.226/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
30. [Time-aware Prompting for Text Generation](https://aclanthology.org/2022.findings-emnlp.535/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
31. [Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation](https://aclanthology.org/2022.emnlp-main.20/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
32. [Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models](https://aclanthology.org/2022.wmt-1.80/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
33. [TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph](https://aclanthology.org/2022.coling-1.62/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
34. [Topic-Aware Response Generation in Task-Oriented Dialogue with Unstructured Knowledge Access](https://aclanthology.org/2022.findings-emnlp.533/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
35. [Towards Arabic Sentence Simplification via Classification and Generative Approaches](https://aclanthology.org/2022.wanlp-1.5/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
36. [Towards Attribute-Entangled Controllable Text Generation: A Pilot Study of Blessing Generation](https://aclanthology.org/2022.gem-1.20/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
37. [Towards Development of an Automated Health Coach](https://aclanthology.org/2022.nlg4health-1.4/) *— 2022 · Proceedings of the First Workshop on Natural Language Generation in Healthcare*
38. [Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure](https://aclanthology.org/2022.emnlp-main.683/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
39. [Towards Enhancing Health Coaching Dialogue in Low-Resource Settings](https://aclanthology.org/2022.coling-1.58/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
40. [Towards Evaluation of Multi-party Dialogue Systems](https://aclanthology.org/2022.inlg-main.23/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
41. [Towards Inter-character Relationship-driven Story Generation](https://aclanthology.org/2022.emnlp-main.613/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
42. [Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework](https://aclanthology.org/2022.emnlp-main.316/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
43. [Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems](https://aclanthology.org/2022.findings-acl.33/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
44. [Towards Making the Most of Pre-trained Translation Model for Quality Estimation](https://aclanthology.org/2022.ccl-1.77/) *— 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics*
45. [Towards Modeling Role-Aware Centrality for Dialogue Summarization](https://aclanthology.org/2022.aacl-short.6/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
46. [Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training](https://aclanthology.org/2022.coling-1.468/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
47. [Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach](https://aclanthology.org/2022.emnlp-main.562/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
48. [Towards a Unified Multi-Dimensional Evaluator for Text Generation](https://aclanthology.org/2022.emnlp-main.131/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
49. [Training Language Models with Memory Augmentation](https://aclanthology.org/2022.emnlp-main.382/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
50. [Training Mixed-Domain Translation Models via Federated Learning](https://aclanthology.org/2022.naacl-main.186/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
51. [Transfer learning for multilingual vacancy text generation](https://aclanthology.org/2022.gem-1.18/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
52. [Translating Hanja Historical Documents to Contemporary Korean and English](https://aclanthology.org/2022.findings-emnlp.91/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
53. [Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches](https://aclanthology.org/2022.loresmt-1.10/) *— 2022 · Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022)*
54. [Translation Memories as Baselines for Low-Resource Machine Translation](https://aclanthology.org/2022.lrec-1.728/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
55. [Translation between Molecules and Natural Language](https://aclanthology.org/2022.emnlp-main.26/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
56. [Transparent Human Evaluation for Image Captioning](https://aclanthology.org/2022.naacl-main.254/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
57. [Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation](https://aclanthology.org/2022.findings-emnlp.167/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
58. [Twist Decoding: Diverse Generators Guide Each Other](https://aclanthology.org/2022.emnlp-main.326/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
59. [Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering](https://aclanthology.org/2022.emnlp-main.691/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
60. [Type-dependent Prompt CycleQAG : Cycle Consistency for Multi-hop Question Generation](https://aclanthology.org/2022.coling-1.549/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
61. [UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor](https://aclanthology.org/2022.coling-1.550/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
62. [Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models](https://aclanthology.org/2022.acl-long.591/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [Understanding Jargon: Combining Extraction and Generation for Definition Modeling](https://aclanthology.org/2022.emnlp-main.266/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
64. [Understanding Metrics for Paraphrasing](https://arxiv.org/abs/2205.13119) *— 2022 · arXiv:2205.13119*
65. [Understanding and Improving the Exemplar-based Generation for Open-domain Conversation](https://aclanthology.org/2022.nlp4convai-1.18/) *— 2022 · Proceedings of the 4th Workshop on NLP for Conversational AI*
66. [UniTE: Unified Translation Evaluation](https://aclanthology.org/2022.acl-long.558/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [Unified Normalization for Accelerating and Stabilizing Transformers](https://arxiv.org/abs/2208.01313) *— 2022 · arXiv:2208.01313*
68. [Unifying the Convergences in Multilingual Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.458/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
69. [Universal Evasion Attacks on Summarization Scoring](https://aclanthology.org/2022.blackboxnlp-1.9/) *— 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
70. [Unsupervised Domain Adaptation for Question Generation with DomainData Selection and Self-training](https://aclanthology.org/2022.findings-naacl.183/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
71. [Unsupervised Embedding-based Metric for MT Evaluation with Improved Human Correlation](https://aclanthology.org/2022.wmt-1.49/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
72. [Unsupervised and Very-Low Resource Supervised Translation on German and Sorbian Variant Languages](https://aclanthology.org/2022.wmt-1.108/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
73. [Updated Headline Generation: Creating Updated Summaries for Evolving News Stories](https://aclanthology.org/2022.acl-long.446/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
74. [Use of Transformer-Based Models for Word-Level Transliteration of the Book of the Dean of Lismore](https://aclanthology.org/2022.cltw-1.13/) *— 2022 · Proceedings of the 4th Celtic Language Technology Workshop within LREC2022*
75. [User-Centric Gender Rewriting](https://aclanthology.org/2022.naacl-main.46/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
76. [Using Pre-Trained Language Models for Producing Counter Narratives Against Hate Speech: a Comparative Study](https://aclanthology.org/2022.findings-acl.245/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
77. [Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation](https://aclanthology.org/2022.coling-1.514/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
78. [Using public domain resources and off-the-shelf tools to produce high-quality multimedia texts](https://aclanthology.org/2022.alta-1.2/) *— 2022 · Proceedings of the 20th Annual Workshop of the Australasian Language Technology Association*
79. [VGNMN: Video-grounded Neural Module Networks for Video-Grounded Dialogue Systems](https://aclanthology.org/2022.naacl-main.247/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
80. [VISA: An Ambiguous Subtitles Dataset for Visual Scene-aware Machine Translation](https://aclanthology.org/2022.lrec-1.725/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
81. [Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation](https://aclanthology.org/2022.emnlp-main.706/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
82. [Varifocal Question Generation for Fact-checking](https://aclanthology.org/2022.emnlp-main.163/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
83. [ViLMedic: a framework for research at the intersection of vision and language in medical AI](https://aclanthology.org/2022.acl-demo.3/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
84. [Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation](https://aclanthology.org/2022.emnlp-main.93/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
85. [Visualizing the Relationship Between Encoded Linguistic Information and Task Performance](https://aclanthology.org/2022.findings-acl.35/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
86. [Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation](https://aclanthology.org/2022.findings-emnlp.322/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
87. [WDV: A Broad Data Verbalisation Dataset Built from Wikidata](https://arxiv.org/abs/2205.02627) *— 2022 · arXiv:2205.02627*
88. [Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation](https://aclanthology.org/2022.findings-emnlp.166/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
89. [WeTS: A Benchmark for Translation Suggestion](https://aclanthology.org/2022.emnlp-main.353/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
90. [What Makes Data-to-Text Generation Hard for Pretrained Language Models?](https://aclanthology.org/2022.gem-1.50/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
91. [What Makes Good In-Context Examples for GPT-3?](https://aclanthology.org/2022.deelio-1.10/) *— 2022 · Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures*
92. [What do Large Language Models Learn about Scripts?](https://aclanthology.org/2022.starsem-1.1/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
93. [When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues](https://aclanthology.org/2022.acl-long.411/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?](https://aclanthology.org/2022.findings-naacl.134/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
95. [Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals](https://aclanthology.org/2022.acl-long.73/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [Who Are We Talking About? Handling Person Names in Speech Translation](https://aclanthology.org/2022.iwslt-1.6/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
97. [Why don't people use character-level machine translation?](https://aclanthology.org/2022.findings-acl.194/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
98. [WikiOmnia: filtration and evaluation of the generated QA corpus on the whole Russian Wikipedia](https://aclanthology.org/2022.gem-1.10/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
99. [Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation](https://aclanthology.org/2022.findings-emnlp.65/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
100. [WordNet-QU: Development of a Lexical Database for Quechua Varieties](https://aclanthology.org/2022.coling-1.390/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*

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