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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 45

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

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2. [Neural CRF Model for Sentence Alignment in Text Simplification](https://aclanthology.org/2020.acl-main.709/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
3. [Neural Conversational QA: Learning to Reason vs Exploiting Patterns](https://aclanthology.org/2020.emnlp-main.589/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
4. [Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence](https://aclanthology.org/2020.acl-main.641/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
5. [Neural Machine Translation Models with Back-Translation for the Extremely Low-Resource Indigenous Language Bribri](https://aclanthology.org/2020.coling-main.351/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
6. [Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara](https://aclanthology.org/2020.loresmt-1.3/) *— 2020 · Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages*
7. [Neural Simultaneous Speech Translation Using Alignment-Based Chunking](https://aclanthology.org/2020.iwslt-1.29/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
8. [Neural Transduction for Multilingual Lexical Translation](https://aclanthology.org/2020.coling-main.387/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
9. [Non-Autoregressive Machine Translation with Latent Alignments](https://aclanthology.org/2020.emnlp-main.83/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
10. [Norm-Based Curriculum Learning for Neural Machine Translation](https://aclanthology.org/2020.acl-main.41/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
11. [Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation](https://aclanthology.org/2020.emnlp-main.207/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
12. [ON-TRAC Consortium for End-to-End and Simultaneous Speech Translation Challenge Tasks at IWSLT 2020](https://aclanthology.org/2020.iwslt-1.2/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
13. [On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation](https://aclanthology.org/2020.acl-main.326/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
14. [On Knowledge Distillation for Direct Speech Translation](https://aclanthology.org/2020.clicit-1.25/) *— 2020 · Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)*
15. [On Layer Normalization in the Transformer Architecture](https://arxiv.org/abs/2002.04745) *— 2020 · arXiv:2002.04745 · Published on ICML 2020*
16. [On Romanization for Model Transfer Between Scripts in Neural Machine Translation](https://aclanthology.org/2020.findings-emnlp.223/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
17. [On Target Segmentation for Direct Speech Translation](https://aclanthology.org/2020.amta-research.13/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
18. [On The Evaluation of Machine Translation Systems Trained With Back-Translation](https://aclanthology.org/2020.acl-main.253/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
19. [On the Discrepancy between Density Estimation and Sequence Generation](https://aclanthology.org/2020.spnlp-1.10/) *— 2020 · Proceedings of the Fourth Workshop on Structured Prediction for NLP*
20. [On the Evaluation of Machine Translation n-best Lists](https://aclanthology.org/2020.eval4nlp-1.7/) *— 2020 · Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems*
21. [On the Helpfulness of Document Context to Sentence Simplification](https://aclanthology.org/2020.coling-main.121/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
22. [On the Inference Calibration of Neural Machine Translation](https://aclanthology.org/2020.acl-main.278/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
23. [On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation](https://aclanthology.org/2020.acl-main.151/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
24. [On the Linguistic Representational Power of Neural Machine Translation Models](https://aclanthology.org/2020.cl-1.1/) *— 2020 · Computational Linguistics*
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28. [Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English](https://aclanthology.org/2020.coling-main.443/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
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31. [PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation](https://aclanthology.org/2020.wnut-1.7/) *— 2020 · Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)*
32. [POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training](https://aclanthology.org/2020.emnlp-main.698/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
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40. [Paraphrase Generation by Learning How to Edit from Samples](https://aclanthology.org/2020.acl-main.535/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
41. [Paraphrase Generation via Adversarial Penalizations](https://aclanthology.org/2020.wnut-1.32/) *— 2020 · Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)*
42. [Paraphrase Generation with Latent Bag of Words](https://arxiv.org/abs/2001.01941) *— 2020 · arXiv:2001.01941*
43. [Partially-Aligned Data-to-Text Generation with Distant Supervision](https://aclanthology.org/2020.emnlp-main.738/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
44. [Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages](https://aclanthology.org/2020.findings-emnlp.195/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
45. [PathQG: Neural Question Generation from Facts](https://aclanthology.org/2020.emnlp-main.729/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
46. [PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions](https://aclanthology.org/2020.findings-emnlp.251/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
47. [PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents](https://aclanthology.org/2020.coling-main.521/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
48. [Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task](https://aclanthology.org/2020.emnlp-main.529/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
49. [Planning and Generating Natural and Diverse Disfluent Texts as Augmentation for Disfluency Detection](https://aclanthology.org/2020.emnlp-main.113/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
50. [Plug and Play Autoencoders for Conditional Text Generation](https://aclanthology.org/2020.emnlp-main.491/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
51. [Plug-and-Play Conversational Models](https://aclanthology.org/2020.findings-emnlp.219/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
52. [Point Break: Surfing Heterogeneous Data for Subtitle Segmentation](https://aclanthology.org/2020.clicit-1.27/) *— 2020 · Proceedings of the Seventh Italian Conference on Computational Linguistics (CLiC-it 2020)*
53. [Politeness Transfer: A Tag and Generate Approach](https://aclanthology.org/2020.acl-main.169/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
54. [Posterior Control of Blackbox Generation](https://aclanthology.org/2020.acl-main.243/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
55. [Practical Perspectives on Quality Estimation for Machine Translation](https://arxiv.org/abs/2005.03519) *— 2020 · arXiv:2005.03519*
56. [Predicting Performance for Natural Language Processing Tasks](https://aclanthology.org/2020.acl-main.764/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
57. [Predicting and Using Target Length in Neural Machine Translation](https://aclanthology.org/2020.aacl-main.41/) *— 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*
58. [Pretrained Language Models and Backtranslation for English-Basque Biomedical Neural Machine Translation](https://aclanthology.org/2020.wmt-1.89/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
59. [Pretrained Language Models for Dialogue Generation with Multiple Input Sources](https://aclanthology.org/2020.findings-emnlp.81/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
60. [Priming Neural Machine Translation](https://aclanthology.org/2020.wmt-1.63/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
61. [Probing Neural Dialog Models for Conversational Understanding](https://aclanthology.org/2020.nlp4convai-1.15/) *— 2020 · Proceedings of the 2nd Workshop on Natural Language Processing for Conversational AI*
62. [Pushing the Limits of AMR Parsing with Self-Learning](https://aclanthology.org/2020.findings-emnlp.288/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
63. [PuzzLing Machines: A Challenge on Learning From Small Data](https://aclanthology.org/2020.acl-main.115/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
64. [Quantitative Analysis of Post-Editing Effort Indicators for NMT](https://aclanthology.org/2020.eamt-1.44/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
65. [RMM: A Recursive Mental Model for Dialogue Navigation](https://aclanthology.org/2020.findings-emnlp.157/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
66. [R\textasciicircum3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge](https://aclanthology.org/2020.acl-main.711/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
67. [Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders](https://aclanthology.org/2020.inlg-1.42/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
68. [Re-translation versus Streaming for Simultaneous Translation](https://aclanthology.org/2020.iwslt-1.27/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
69. [Reassessing Claims of Human Parity and Super-Human Performance in Machine Translation at WMT 2019](https://aclanthology.org/2020.eamt-1.20/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
70. [RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation](https://aclanthology.org/2020.inlg-1.4/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
71. [Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem](https://aclanthology.org/2020.acl-main.690/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
72. [Reevaluating Adversarial Examples in Natural Language](https://aclanthology.org/2020.findings-emnlp.341/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
73. [Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts](https://aclanthology.org/2020.emnlp-main.353/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
74. [Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities](https://aclanthology.org/2020.coling-main.205/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
75. [Reformulating Unsupervised Style Transfer as Paraphrase Generation](https://md.mova.elamur.ai/free/en/docs/papers/krishna-2020-reformulating-unsupervised-style-transfer-as/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
76. [Regularizing Dialogue Generation by Imitating Implicit Scenarios](https://aclanthology.org/2020.emnlp-main.534/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
77. [Reinforced Multi-task Approach for Multi-hop Question Generation](https://aclanthology.org/2020.coling-main.249/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
78. [Reinforced Rewards Framework for Text Style Transfer](https://arxiv.org/abs/2005.05256) *— 2020 · arXiv:2005.05256*
79. [Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation](https://aclanthology.org/2020.findings-emnlp.202/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
80. [Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference](https://aclanthology.org/2020.emnlp-main.17/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
81. [Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation](https://aclanthology.org/2020.acl-main.61/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
82. [Results of the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.77/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
83. [Rethinking Skip Connection with Layer Normalization](https://aclanthology.org/2020.coling-main.320/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
84. [Rethinking the Value of Transformer Components](https://aclanthology.org/2020.coling-main.529/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
85. [Retrieval-Augmented Controllable Review Generation](https://aclanthology.org/2020.coling-main.207/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
86. [Revisiting Round-trip Translation for Quality Estimation](https://aclanthology.org/2020.eamt-1.11/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
87. [Revitalization of Indigenous Languages through Pre-processing and Neural Machine Translation: The case of Inuktitut](https://aclanthology.org/2020.coling-main.410/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
88. [RiSAWOZ: A Large-Scale Multi-Domain Wizard-of-Oz Dataset with Rich Semantic Annotations for Task-Oriented Dialogue Modeling](https://aclanthology.org/2020.emnlp-main.67/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
89. [Robust Neural Machine Translation with ASR Errors](https://aclanthology.org/2020.autosimtrans-1.3/) *— 2020 · Proceedings of the First Workshop on Automatic Simultaneous Translation*
90. [SEDAR: a Large Scale French-English Financial Domain Parallel Corpus](https://aclanthology.org/2020.lrec-1.442/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
91. [SEMA: Text Simplification Evaluation through Semantic Alignment](https://aclanthology.org/2020.nlptea-1.17/) *— 2020 · Proceedings of the 6th Workshop on Natural Language Processing Techniques for Educational Applications*
92. [SIMULEVAL: An Evaluation Toolkit for Simultaneous Translation](https://aclanthology.org/2020.emnlp-demos.19/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
93. [SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning](https://aclanthology.org/2020.emnlp-main.357/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
94. [ST$^2$: Small-data Text Style Transfer via Multi-task Meta-Learning](https://arxiv.org/abs/2004.11742) *— 2020 · arXiv:2004.11742*
95. [SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization](https://aclanthology.org/2020.acl-main.124/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
96. [SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics](https://aclanthology.org/2020.nlposs-1.17/) *— 2020 · Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)*
97. [Schema-Guided Natural Language Generation](https://aclanthology.org/2020.inlg-1.35/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
98. [Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation](https://aclanthology.org/2020.acl-main.359/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
99. [Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation](https://aclanthology.org/2020.emnlp-main.202/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
100. [SemEval-2020 Task 4: Commonsense Validation and Explanation](https://aclanthology.org/2020.semeval-1.39/) *— 2020 · Proceedings of the Fourteenth Workshop on Semantic Evaluation*

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