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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 41

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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37. [AMR Quality Rating with a Lightweight CNN](https://aclanthology.org/2020.aacl-main.27/) *— 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*
38. [AMR Similarity Metrics from Principles](https://aclanthology.org/2020.tacl-1.34/) *— 2020*
39. [AMR-To-Text Generation with Graph Transformer](https://aclanthology.org/2020.tacl-1.2/) *— 2020 · Transactions of the Association for Computational Linguistics*
40. [ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations](https://aclanthology.org/2020.acl-main.424/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
41. [Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines](https://md.mova.elamur.ai/free/en/docs/papers/ranta-2020-abstract-syntax-as-interlingua-scaling/) *— our card · 2020*
42. [Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity](https://arxiv.org/abs/2008.13006) *— 2020 · arXiv:2008.13006*
43. [Accurate Word Alignment Induction from Neural Machine Translation](https://aclanthology.org/2020.emnlp-main.42/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
44. [Active Learning Approaches to Enhancing Neural Machine Translation](https://aclanthology.org/2020.findings-emnlp.162/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
45. [Adaptive Feature Selection for End-to-End Speech Translation](https://aclanthology.org/2020.findings-emnlp.230/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
46. [Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation](https://aclanthology.org/2020.acl-main.753/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
47. [Adversarial Grammatical Error Correction](https://aclanthology.org/2020.findings-emnlp.275/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
48. [Adversarial Learning on the Latent Space for Diverse Dialog Generation](https://aclanthology.org/2020.coling-main.441/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
49. [Adversarial Subword Regularization for Robust Neural Machine Translation](https://aclanthology.org/2020.findings-emnlp.175/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
50. [Alibaba Submission to the WMT20 Parallel Corpus Filtering Task](https://aclanthology.org/2020.wmt-1.111/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
51. [Alibaba''s Submission for the WMT 2020 APE Shared Task: Improving Automatic Post-Editing with Pre-trained Conditional Cross-Lingual BERT](https://aclanthology.org/2020.wmt-1.84/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
52. [Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training](https://aclanthology.org/2020.emnlp-main.281/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
53. [AmbigQA: Answering Ambiguous Open-domain Questions](https://aclanthology.org/2020.emnlp-main.466/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
54. [Amharic Abstractive Text Summarization](https://arxiv.org/abs/2003.13721) *— 2020 · arXiv:2003.13721*
55. [An English-Swahili parallel corpus and its use for neural machine translation in the news domain](https://aclanthology.org/2020.eamt-1.32/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
56. [An Enhanced Knowledge Injection Model for Commonsense Generation](https://aclanthology.org/2020.coling-main.182/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
57. [An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil](https://aclanthology.org/2020.wat-1.22/) *— 2020 · Proceedings of the 7th Workshop on Asian Translation*
58. [An Evaluation Benchmark for Testing the Word Sense Disambiguation Capabilities of Machine Translation Systems](https://aclanthology.org/2020.lrec-1.452/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
59. [An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing](https://aclanthology.org/2020.emnlp-main.577/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
60. [Answer-driven Deep Question Generation based on Reinforcement Learning](https://aclanthology.org/2020.coling-main.452/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
61. [AraBench: Benchmarking Dialectal Arabic-English Machine Translation](https://aclanthology.org/2020.coling-main.447/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
62. [Are Scene Graphs Good Enough to Improve Image Captioning?](https://aclanthology.org/2020.aacl-main.50/) *— 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*
63. [Ask to Learn: A Study on Curiosity-driven Question Generation](https://aclanthology.org/2020.coling-main.202/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
64. [Asking and Answering Questions to Evaluate the Factual Consistency of Summaries](https://aclanthology.org/2020.acl-main.450/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
65. [Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios](https://arxiv.org/abs/2009.13398) *— 2020 · arXiv:2009.13398*
66. [Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models](https://arxiv.org/abs/2004.13270) *— 2020 · arXiv:2004.13270*
67. [AutoMeTS: The Autocomplete for Medical Text Simplification](https://aclanthology.org/2020.coling-main.122/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
68. [Automatic Distractor Generation for Multiple Choice Questions in Standard Tests](https://aclanthology.org/2020.coling-main.189/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
69. [Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations](https://aclanthology.org/2020.coling-main.471/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
70. [Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing](https://aclanthology.org/2020.emnlp-main.8/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
71. [Automatic Spanish Translation of SQuAD Dataset for Multi-lingual Question Answering](https://aclanthology.org/2020.lrec-1.677/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
72. [Automatic Term Name Generation for Gene Ontology: Task and Dataset](https://aclanthology.org/2020.findings-emnlp.422/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
73. [Autoregressive Knowledge Distillation through Imitation Learning](https://aclanthology.org/2020.emnlp-main.494/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
74. [BLEU Neighbors: A Reference-less Approach to Automatic Evaluation](https://aclanthology.org/2020.eval4nlp-1.5/) *— 2020 · Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems*
75. [BLEU might be Guilty but References are not Innocent](https://aclanthology.org/2020.emnlp-main.5/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
76. [BLEURT: Learning Robust Metrics for Text Generation](https://aclanthology.org/2020.acl-main.704/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
77. [BPE-Dropout: Simple and Effective Subword Regularization](https://aclanthology.org/2020.acl-main.170/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
78. [Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning](https://aclanthology.org/2020.emnlp-main.58/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
79. [Balancing Training for Multilingual Neural Machine Translation](https://aclanthology.org/2020.acl-main.754/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
80. [Benchmarking Data-driven Automatic Text Simplification for German](https://aclanthology.org/2020.readi-1.7/) *— 2020 · Proceedings of the 1st Workshop on Tools and Resources to Empower People with REAding DIfficulties (READI)*
81. [Benchmarking Multidomain English-Indonesian Machine Translation](https://aclanthology.org/2020.bucc-1.6/) *— 2020 · Proceedings of the 13th Workshop on Building and Using Comparable Corpora*
82. [Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages](https://aclanthology.org/2020.lrec-1.325/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
83. [Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation](https://aclanthology.org/2020.eval4nlp-1.16/) *— 2020 · Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems*
84. [Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data](https://aclanthology.org/2020.coling-industry.7/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track*
85. [Better Sign Language Translation with STMC-Transformer](https://aclanthology.org/2020.coling-main.525/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
86. [Beyond English-Centric Multilingual Machine Translation](https://arxiv.org/abs/2010.11125) *— 2020 · arXiv:2010.11125*
87. [BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues](https://aclanthology.org/2020.emnlp-main.145/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
88. [Bilingual Subword Segmentation for Neural Machine Translation](https://aclanthology.org/2020.coling-main.378/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
89. [Bridging the Structural Gap Between Encoding and Decoding for Data-To-Text Generation](https://aclanthology.org/2020.acl-main.224/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
90. [Building a User-Generated Content North-African Arabizi Treebank: Tackling Hell](https://aclanthology.org/2020.acl-main.107/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
91. [Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques](https://aclanthology.org/2020.lrec-1.496/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
92. [CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation](https://aclanthology.org/2020.emnlp-main.417/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
93. [CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering](https://aclanthology.org/2020.coling-main.229/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
94. [CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task](https://aclanthology.org/2020.acl-demos.18/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
95. [COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs](https://md.mova.elamur.ai/free/en/docs/papers/hwang-2020-comet-atomic-2020-symbolic-neural/) *— our card · 2020 · arXiv:2010.05953 (Proceedings of the AAAI Conference on Artificial Intelligence (2021), 35(7), 6384-6392)*
96. [COMET: A Neural Framework for MT Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/rei-2020-comet-neural-framework-mt-evaluation/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
97. [CUT: Controllable Unsupervised Text Simplification](https://arxiv.org/abs/2012.01936) *— 2020 · arXiv:2012.01936*
98. [Can Automatic Post-Editing Improve NMT?](https://aclanthology.org/2020.emnlp-main.217/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
99. [Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents](https://arxiv.org/abs/2012.14653) *— 2020 · arXiv:2012.14653*
100. [Can Your Context-Aware MT System Pass the DiP Benchmark Tests? : Evaluation Benchmarks for Discourse Phenomena in Machine Translation](https://arxiv.org/abs/2004.14607) *— 2020 · arXiv:2004.14607*

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