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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 46

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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36. [Syntax-driven Iterative Expansion Language Models for Controllable Text Generation](https://aclanthology.org/2020.spnlp-1.1/) *— 2020 · Proceedings of the Fourth Workshop on Structured Prediction for NLP*
37. [TAG : Type Auxiliary Guiding for Code Comment Generation](https://aclanthology.org/2020.acl-main.27/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
38. [THUMT: An Open-Source Toolkit for Neural Machine Translation](https://aclanthology.org/2020.amta-research.11/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
39. [TMUOU Submission for WMT20 Quality Estimation Shared Task](https://aclanthology.org/2020.wmt-1.120/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
40. [TaPaCo: A Corpus of Sentential Paraphrases for 73 Languages](https://aclanthology.org/2020.lrec-1.848/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
41. [TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching](https://aclanthology.org/2020.coling-main.179/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
42. [Tagged Back-translation Revisited: Why Does It Really Work?](https://aclanthology.org/2020.acl-main.532/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
43. [Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics](https://md.mova.elamur.ai/free/en/docs/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
44. [Target Inference in Argument Conclusion Generation](https://aclanthology.org/2020.acl-main.399/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
45. [Tell Me How to Ask Again: Question Data Augmentation with Controllable Rewriting in Continuous Space](https://aclanthology.org/2020.emnlp-main.467/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
46. [Template Guided Text Generation for Task-Oriented Dialogue](https://aclanthology.org/2020.emnlp-main.527/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
47. [Terminology-Aware Sentence Mining for NMT Domain Adaptation: ADAPT''s Submission to the Adap-MT 2020 English-to-Hindi AI Translation Shared Task](https://aclanthology.org/2020.icon-adapmt.4/) *— 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON): Adap-MT 2020 Shared Task*
48. [Terminology-Constrained Neural Machine Translation at SAP](https://aclanthology.org/2020.eamt-1.29/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
49. [Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity](https://aclanthology.org/2020.aacl-srw.22/) *— 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: Student Research Workshop*
50. [Text Style Transfer: A Review and Experimental Evaluation](https://arxiv.org/abs/2010.12742) *— 2020 · arXiv:2010.12742 · KDD Explorations 24 (2022) 14-45*
51. [Text-to-Text Pre-Training Model with Plan Selection for RDF-to-Text Generation](https://aclanthology.org/2020.webnlg-1.18/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
52. [Text-to-Text Pre-Training for Data-to-Text Tasks](https://arxiv.org/abs/2005.10433) *— 2020 · arXiv:2005.10433*
53. [TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP](https://arxiv.org/abs/2005.05909) *— 2020 · arXiv:2005.05909*
54. [TextAttack: Lessons learned in designing Python frameworks for NLP](https://aclanthology.org/2020.nlposs-1.18/) *— 2020 · Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)*
55. [TextCaps: a Dataset for Image Captioning with Reading Comprehension](https://arxiv.org/abs/2003.12462) *— 2020 · arXiv:2003.12462*
56. [The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)](https://aclanthology.org/2020.webnlg-1.7/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
57. [The ADAPT's Submissions to the WMT20 Biomedical Translation Task](https://aclanthology.org/2020.wmt-1.91/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
58. [The ApposCorpus: a new multilingual, multi-domain dataset for factual appositive generation](https://aclanthology.org/2020.coling-main.180/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
59. [The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation](https://aclanthology.org/2020.findings-emnlp.327/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
60. [The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation](https://aclanthology.org/2020.inlg-1.10/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
61. [The DeepMind Chinese–English Document Translation System at WMT2020](https://aclanthology.org/2020.wmt-1.36/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
62. [The EOS Decision and Length Extrapolation](https://aclanthology.org/2020.blackboxnlp-1.26/) *— 2020 · Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
63. [The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research](https://aclanthology.org/2020.lrec-1.470/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
64. [The Impact of Indirect Machine Translation on Sentiment Classification](https://aclanthology.org/2020.amta-research.7/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
65. [The LMU Munich System for the WMT20 Very Low Resource Supervised MT Task](https://aclanthology.org/2020.wmt-1.131/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
66. [The Margarita Dialogue Corpus: A Data Set for Time-Offset Interactions and Unstructured Dialogue Systems](https://aclanthology.org/2020.lrec-1.60/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
67. [The Nunavut Hansard Inuktitut–English Parallel Corpus 3.0 with Preliminary Machine Translation Results](https://aclanthology.org/2020.lrec-1.312/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
68. [The SADID Evaluation Datasets for Low-Resource Spoken Language Machine Translation of Arabic Dialects](https://aclanthology.org/2020.coling-main.530/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
69. [The Third Multilingual Surface Realisation Shared Task (SR''20): Overview and Evaluation Results](https://md.mova.elamur.ai/free/en/docs/papers/mille-2020-third-multilingual-surface-realisation-shared/) *— our card · 2020 · Proceedings of the Third Workshop on Multilingual Surface Realisation*
70. [The Transference Architecture for Automatic Post-Editing](https://aclanthology.org/2020.coling-main.524/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
71. [The Ubiqus English-Inuktitut System for WMT20](https://aclanthology.org/2020.wmt-1.21/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
72. [The University of Edinburgh's English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task](https://aclanthology.org/2020.wmt-1.5/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
73. [The University of Edinburgh-Uppsala University's Submission to the WMT 2020 Chat Translation Task](https://aclanthology.org/2020.wmt-1.58/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
74. [Thinking Like a Skeptic: Defeasible Inference in Natural Language](https://aclanthology.org/2020.findings-emnlp.418/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
75. [Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response](https://arxiv.org/abs/2003.11523) *— 2020 · arXiv:2003.11523*
76. [To Case or not to case: Evaluating Casing Methods for Neural Machine Translation](https://aclanthology.org/2020.lrec-1.463/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
77. [To Test Machine Comprehension, Start by Defining Comprehension](https://arxiv.org/abs/2005.01525) *— 2020 · arXiv:2005.01525*
78. [ToTTo: A Controlled Table-To-Text Generation Dataset](https://aclanthology.org/2020.emnlp-main.89/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
79. [Token-level Adaptive Training for Neural Machine Translation](https://aclanthology.org/2020.emnlp-main.76/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
80. [Topic-relevant Response Generation using Optimal Transport for an Open-domain Dialog System](https://aclanthology.org/2020.coling-main.359/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
81. [Toward Stance-based Personas for Opinionated Dialogues](https://aclanthology.org/2020.findings-emnlp.238/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
82. [Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction](https://aclanthology.org/2020.coling-main.190/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
83. [Towards Computational Linguistics in Minangkabau Language: Studies on Sentiment Analysis and Machine Translation](https://aclanthology.org/2020.paclic-1.17/) *— 2020 · Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation*
84. [Towards Conversational Recommendation over Multi-Type Dialogs](https://aclanthology.org/2020.acl-main.98/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
85. [Towards End-to-End In-Image Neural Machine Translation](https://aclanthology.org/2020.nlpbt-1.8/) *— 2020 · Proceedings of the First International Workshop on Natural Language Processing Beyond Text*
86. [Towards Enhancing Faithfulness for Neural Machine Translation](https://aclanthology.org/2020.emnlp-main.212/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
87. [Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints](https://aclanthology.org/2020.acl-main.101/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
88. [Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation](https://aclanthology.org/2020.acl-main.333/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
89. [Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning](https://aclanthology.org/2020.findings-emnlp.368/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
90. [Towards Machine Translation for the Kurdish Language](https://aclanthology.org/2020.loresmt-1.12/) *— 2020 · Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages*
91. [Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword Systems](https://aclanthology.org/2020.emnlp-main.203/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
92. [Towards Topic-Guided Conversational Recommender System](https://aclanthology.org/2020.coling-main.365/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
93. [Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations](https://aclanthology.org/2020.emnlp-main.708/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
94. [Towards Unified Dialogue System Evaluation: A Comprehensive Analysis of Current Evaluation Protocols](https://aclanthology.org/2020.sigdial-1.29/) *— 2020 · Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
95. [Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning](https://aclanthology.org/2020.findings-emnlp.289/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
96. [Towards a Better Understanding of Label Smoothing in Neural Machine Translation](https://aclanthology.org/2020.aacl-main.25/) *— 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*
97. [Towards a Human-like Open-Domain Chatbot](https://arxiv.org/abs/2001.09977) *— 2020 · arXiv:2001.09977*
98. [Towards automatically generating Questions under Discussion to link information and discourse structure](https://aclanthology.org/2020.coling-main.509/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
99. [Towards the First Machine Translation System for Sumerian Transliterations](https://aclanthology.org/2020.coling-main.308/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
100. [Toxicity Detection: Does Context Really Matter?](https://aclanthology.org/2020.acl-main.396/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*

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