---
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/66/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 66

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/) · … · [65](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/65/) · **66** · [67](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/67/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Incorporating a Local Translation Mechanism into Non-autoregressive Translation](https://aclanthology.org/2020.emnlp-main.79/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
2. [Infusing Sequential Information into Conditional Masked Translation Model with Self-Review Mechanism](https://aclanthology.org/2020.coling-main.2/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
3. [Integrating Domain Terminology into Neural Machine Translation](https://aclanthology.org/2020.coling-main.348/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
4. [Interacting with GPT-2 to Generate Controlled and Believable Musical Sequences in ABC Notation](https://aclanthology.org/2020.nlp4musa-1.10/) *— 2020 · Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA)*
5. [Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning](https://aclanthology.org/2020.coling-main.279/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
6. [Intermediate Self-supervised Learning for Machine Translation Quality Estimation](https://aclanthology.org/2020.coling-main.385/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
7. [Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding](https://aclanthology.org/2020.emnlp-main.653/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
8. [Investigating Language Impact in Bilingual Approaches for Computational Language Documentation](https://aclanthology.org/2020.sltu-1.11/) *— 2020 · Proceedings of the 1st Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)*
9. [Investigation of Transformer-based Latent Attention Models for Neural Machine Translation](https://aclanthology.org/2020.amta-research.2/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
10. [Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?](https://aclanthology.org/2020.iwslt-1.26/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
11. [Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation](https://aclanthology.org/2020.coling-main.398/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
12. [Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation](https://aclanthology.org/2020.sigdial-1.37/) *— 2020 · Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
13. [IsarStep: a Benchmark for High-level Mathematical Reasoning](https://arxiv.org/abs/2006.09265) *— 2020 · arXiv:2006.09265*
14. [It”s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information](https://aclanthology.org/2020.acl-main.149/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
15. [It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations](https://aclanthology.org/2020.acl-main.263/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
16. [Italian Counter Narrative Generation to Fight Online Hate Speech](https://aclanthology.org/2020.clicit-1.15/) *— 2020 · Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)*
17. [Iterative Domain-Repaired Back-Translation](https://aclanthology.org/2020.emnlp-main.474/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
18. [Iterative Edit-Based Unsupervised Sentence Simplification](https://aclanthology.org/2020.acl-main.707/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
19. [Iterative Multilingual Neural Machine Translation for Less-Common and Zero-Resource Language Pairs](https://aclanthology.org/2020.paclic-1.24/) *— 2020 · Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation*
20. [JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation](https://aclanthology.org/2020.lrec-1.454/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
21. [JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus](https://aclanthology.org/2020.lrec-1.443/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
22. [JUNLP@ICON2020: Low Resourced Machine Translation for Indic Languages](https://aclanthology.org/2020.icon-adapmt.1/) *— 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON): Adap-MT 2020 Shared Task*
23. [JUST System for WMT20 Chat Translation Task](https://aclanthology.org/2020.wmt-1.59/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
24. [Jejueo Datasets for Machine Translation and Speech Synthesis](https://aclanthology.org/2020.lrec-1.318/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
25. [Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation](https://aclanthology.org/2020.acl-main.36/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
26. [KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation](https://aclanthology.org/2020.emnlp-main.697/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
27. [KILT: a Benchmark for Knowledge Intensive Language Tasks](https://arxiv.org/abs/2009.02252) *— 2020 · arXiv:2009.02252*
28. [KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation](https://aclanthology.org/2020.acl-main.635/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
29. [Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication](https://aclanthology.org/2020.coling-main.204/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
30. [Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity](https://aclanthology.org/2020.coling-main.397/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
31. [Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases](https://aclanthology.org/2020.coling-main.250/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
32. [KoBE: Knowledge-Based Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/gekhman-2020-kobe-knowledge-based-machine-translation/) *— our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
33. [Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph](https://aclanthology.org/2020.emnlp-main.54/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
34. [Language Model Transformers as Evaluators for Open-domain Dialogues](https://aclanthology.org/2020.coling-main.599/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
35. [Language-Driven Region Pointer Advancement for Controllable Image Captioning](https://aclanthology.org/2020.coling-main.174/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
36. [Large Scale Author Obfuscation Using Siamese Variational Auto-Encoder: The SiamAO System](https://aclanthology.org/2020.starsem-1.19/) *— 2020 · Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics*
37. [Latin-Spanish Neural Machine Translation: from the Bible to Saint Augustine](https://aclanthology.org/2020.lt4hala-1.14/) *— 2020 · Proceedings of LT4HALA 2020 - 1st Workshop on Language Technologies for Historical and Ancient Languages*
38. [Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?](https://aclanthology.org/2020.findings-emnlp.390/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
39. [Learning Adaptive Segmentation Policy for Simultaneous Translation](https://aclanthology.org/2020.emnlp-main.178/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
40. [Learning Implicit Text Generation via Feature Matching](https://aclanthology.org/2020.acl-main.354/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
41. [Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems](https://aclanthology.org/2020.findings-emnlp.215/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
42. [Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks](https://aclanthology.org/2020.emnlp-main.279/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
43. [Learning an Unreferenced Metric for Online Dialogue Evaluation](https://aclanthology.org/2020.acl-main.220/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
44. [Learning from Mistakes: Combining Ontologies via Self-Training for Dialogue Generation](https://aclanthology.org/2020.sigdial-1.3/) *— 2020 · Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
45. [Learning the Human Judgment for the Automatic Evaluation of Chatbot](https://aclanthology.org/2020.lrec-1.198/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
46. [Learning to Ask More: Semi-Autoregressive Sequential Question Generation under Dual-Graph Interaction](https://aclanthology.org/2020.acl-main.21/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
47. [Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks](https://aclanthology.org/2020.acl-main.517/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
48. [Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task](https://aclanthology.org/2020.wmt-1.102/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
49. [Learning to Fuse Sentences with Transformers for Summarization](https://aclanthology.org/2020.emnlp-main.338/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
50. [Learning to Generate Clinically Coherent Chest X-Ray Reports](https://aclanthology.org/2020.findings-emnlp.110/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
51. [Learning to Generate Multiple Style Transfer Outputs for an Input Sentence](https://aclanthology.org/2020.ngt-1.2/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
52. [Learning to Plan and Realize Separately for Open-Ended Dialogue Systems](https://aclanthology.org/2020.findings-emnlp.247/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
53. [Learning to Update Natural Language Comments Based on Code Changes](https://aclanthology.org/2020.acl-main.168/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
54. [Learning with Contrastive Examples for Data-to-Text Generation](https://aclanthology.org/2020.coling-main.213/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
55. [Leveraging Discourse Rewards for Document-Level Neural Machine Translation](https://aclanthology.org/2020.coling-main.395/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
56. [Leveraging Large Pretrained Models for WebNLG 2020](https://aclanthology.org/2020.webnlg-1.12/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
57. [Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation](https://aclanthology.org/2020.acl-main.252/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
58. [Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting](https://aclanthology.org/2020.ngt-1.11/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
59. [Leveraging Structured Metadata for Improving Question Answering on the Web](https://aclanthology.org/2020.aacl-main.55/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing*
60. [Lexically Constrained Neural Machine Translation with Levenshtein Transformer](https://aclanthology.org/2020.acl-main.325/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
61. [Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation](https://aclanthology.org/2020.emnlp-main.169/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
62. [Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions](https://aclanthology.org/2020.emnlp-main.739/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
63. [Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks](https://aclanthology.org/2020.acl-main.67/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
64. [Linguistically Informed Hindi-English Neural Machine Translation](https://aclanthology.org/2020.lrec-1.456/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
65. [Listener's Social Identity Matters in Personalised Response Generation](https://aclanthology.org/2020.inlg-1.26/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
66. [Literary Machine Translation under the Magnifying Glass: Assessing the Quality of an NMT-Translated Detective Novel on Document Level](https://aclanthology.org/2020.lrec-1.468/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
67. [Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine Translation](https://aclanthology.org/2020.emnlp-main.481/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
68. [Logical Natural Language Generation from Open-Domain Tables](https://aclanthology.org/2020.acl-main.708/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
69. [Low Resource Neural Machine Translation: A Benchmark for Five African Languages](https://arxiv.org/abs/2003.14402) *— 2020 · arXiv:2003.14402*
70. [Low-Resource Generation of Multi-hop Reasoning Questions](https://aclanthology.org/2020.acl-main.601/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
71. [Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut](https://aclanthology.org/2020.amta-research.15/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
72. [MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning](https://aclanthology.org/2020.acl-main.233/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
73. [MIME: MIMicking Emotions for Empathetic Response Generation](https://aclanthology.org/2020.emnlp-main.721/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
74. [MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics](https://aclanthology.org/2020.emnlp-main.528/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
75. [MT for subtitling: User evaluation of post-editing productivity](https://aclanthology.org/2020.eamt-1.13/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
76. [Machine Translation Aided Bilingual Data-to-Text Generation and Semantic Parsing](https://aclanthology.org/2020.webnlg-1.13/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
77. [Machine Translation Quality: A comparative evaluation of SMT, NMT and tailored-NMT outputs](https://aclanthology.org/2020.eamt-1.47/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
78. [Machine Translation System Selection from Bandit Feedback](https://aclanthology.org/2020.amta-research.5/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
79. [Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training](https://aclanthology.org/2020.wmt-1.29/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
80. [Machine Translation from Spoken Language to Sign Language using Pre-trained Language Model as Encoder](https://aclanthology.org/2020.signlang-1.23/) *— 2020 · Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives*
81. [Machine Translation with Unsupervised Length-Constraints](https://aclanthology.org/2020.amta-research.3/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
82. [Machine-oriented NMT Adaptation for Zero-shot NLP tasks: Comparing the Usefulness of Close and Distant Languages](https://aclanthology.org/2020.vardial-1.4/) *— 2020 · Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects*
83. [Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical Directives](https://aclanthology.org/2020.findings-emnlp.31/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
84. [Mark-Evaluate: Assessing Language Generation using Population Estimation Methods](https://aclanthology.org/2020.coling-main.178/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
85. [Market Comment Generation from Data with Noisy Alignments](https://aclanthology.org/2020.inlg-1.21/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
86. [Masked Reasoner at SemEval-2020 Task 4: Fine-Tuning RoBERTa for Commonsense Reasoning](https://aclanthology.org/2020.semeval-1.49/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*
87. [MedDialog: Large-scale Medical Dialogue Datasets](https://aclanthology.org/2020.emnlp-main.743/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
88. [MedWriter: Knowledge-Aware Medical Text Generation](https://aclanthology.org/2020.coling-main.214/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
89. [Meet Changes with Constancy: Learning Invariance in Multi-Source Translation](https://aclanthology.org/2020.coling-main.97/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
90. [Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?](https://aclanthology.org/2020.tacl-1.4/) *— 2020 · Transactions of the Association for Computational Linguistics*
91. [Meta-Learning for Few-Shot NMT Adaptation](https://aclanthology.org/2020.ngt-1.5/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
92. [Metaphoric Paraphrase Generation](https://arxiv.org/abs/2002.12854) *— 2020 · arXiv:2002.12854*
93. [MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems](https://aclanthology.org/2020.emnlp-main.273/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
94. [Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding](https://aclanthology.org/2020.emnlp-main.455/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
95. [Mitigating Gender Bias in Machine Translation with Target Gender Annotations](https://aclanthology.org/2020.wmt-1.73/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
96. [Modeling Protagonist Emotions for Emotion-Aware Storytelling](https://aclanthology.org/2020.emnlp-main.426/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
97. [Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation](https://aclanthology.org/2020.eamt-1.21/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
98. [MuST-Cinema: a Speech-to-Subtitles corpus](https://aclanthology.org/2020.lrec-1.460/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
99. [Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation](https://aclanthology.org/2020.findings-emnlp.155/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
100. [Multi-Domain Dialogue Acts and Response Co-Generation](https://aclanthology.org/2020.acl-main.638/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*

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