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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 57

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/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-8/) · 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1. [Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks](https://aclanthology.org/K17-1044/) *— 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*
2. [Neural AMR: Sequence-to-Sequence Models for Parsing and Generation](https://md.mova.elamur.ai/free/en/docs/papers/konstas-2017-neural-amr-sequence-sequence-models/) *— our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Neural Machine Translation via Binary Code Prediction](https://aclanthology.org/P17-1079/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Neural Machine Translation with Source Dependency Representation](https://aclanthology.org/D17-1304/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
5. [Neural Machine Translation with Source-Side Latent Graph Parsing](https://aclanthology.org/D17-1012/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
6. [Neural Machine Translation with Word Predictions](https://aclanthology.org/D17-1013/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
7. [Neural Paraphrase Generation using Transfer Learning](https://aclanthology.org/W17-3542/) *— 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
8. [Neural Post-Editing Based on Quality Estimation](https://aclanthology.org/W17-4776/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
9. [Neural Pre-Translation for Hybrid Machine Translation](https://aclanthology.org/2017.mtsummit-papers.3/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
10. [Neural Response Generation for Customer Service based on Personality Traits](https://aclanthology.org/W17-3541/) *— 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
11. [Neural Sequence-Labelling Models for Grammatical Error Correction](https://aclanthology.org/D17-1297/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
12. [Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario](https://aclanthology.org/E17-2045/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
13. [Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation](https://aclanthology.org/W17-5528/) *— 2017 · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue*
14. [Non-Autoregressive Neural Machine Translation](https://arxiv.org/abs/1711.02281) *— 2017 · arXiv:1711.02281*
15. [Obj2Text: Generating Visually Descriptive Language from Object Layouts](https://aclanthology.org/D17-1017/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
16. [On Integrating Discourse in Machine Translation](https://aclanthology.org/W17-4814/) *— 2017 · Proceedings of the Third Workshop on Discourse in Machine Translation*
17. [Online Automatic Post-editing for MT in a Multi-Domain Translation Environment](https://aclanthology.org/E17-1050/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
18. [Overview of the 4th Workshop on Asian Translation](https://aclanthology.org/W17-5701/) *— 2017 · Proceedings of the 4th Workshop on Asian Translation (WAT2017)*
19. [Paying Attention to Multi-Word Expressions in Neural Machine Translation](https://aclanthology.org/2017.mtsummit-papers.7/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
20. [Personalized Machine Translation: Preserving Original Author Traits](https://aclanthology.org/E17-1101/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
21. [Predicting Target Language CCG Supertags Improves Neural Machine Translation](https://aclanthology.org/W17-4707/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
22. [Procedural Text Generation from an Execution Video](https://aclanthology.org/I17-1033/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
23. [Producing Unseen Morphological Variants in Statistical Machine Translation](https://aclanthology.org/E17-2059/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
24. [Question Generation for Question Answering](https://aclanthology.org/D17-1090/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
25. [RACE: Large-scale ReAding Comprehension Dataset From Examinations](https://md.mova.elamur.ai/free/en/docs/papers/lai-2017-race-large-scale-reading-comprehension/) *— our card · 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
26. [Re-evaluating Automatic Metrics for Image Captioning](https://aclanthology.org/E17-1019/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
27. [Reference-based Metrics can be Replaced with Reference-less Metrics in Evaluating Grammatical Error Correction Systems](https://aclanthology.org/I17-2058/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
28. [Results of the WMT17 Metrics Shared Task](https://aclanthology.org/W17-4755/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
29. [STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset](https://aclanthology.org/P17-2066/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
30. [Sarcasm SIGN: Interpreting Sarcasm with Sentiment Based Monolingual Machine Translation](https://aclanthology.org/P17-1155/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling](https://aclanthology.org/P17-1030/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification](https://aclanthology.org/I17-2019/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
33. [Sense-Aware Statistical Machine Translation using Adaptive Context-Dependent Clustering](https://aclanthology.org/W17-4701/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
34. [Sentence Embedding for Neural Machine Translation Domain Adaptation](https://aclanthology.org/P17-2089/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
35. [Sentence Simplification with Deep Reinforcement Learning](https://aclanthology.org/D17-1062/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
36. [Sequence to Sequence Learning for Event Prediction](https://aclanthology.org/I17-2007/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
37. [Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models](https://md.mova.elamur.ai/free/en/docs/papers/jhamtani-2017-shakespearizing-modern-language-copy-enriched/) *— our card · 2017 · Proceedings of the Workshop on Stylistic Variation*
38. [Sheffield at SemEval-2017 Task 9: Transition-based language generation from AMR.](https://aclanthology.org/S17-2096/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
39. [Simplifying the Bible and Wikipedia Using Statistical Machine Translation](https://arxiv.org/abs/1703.08646) *— 2017 · arXiv:1703.08646*
40. [Split and Rephrase](https://aclanthology.org/D17-1064/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
41. [Statistical Vs Rule Based Machine Translation; A Case Study on Indian Language Perspective](https://arxiv.org/abs/1708.04559) *— 2017 · arXiv:1708.04559*
42. [Stronger Baselines for Trustable Results in Neural Machine Translation](https://aclanthology.org/W17-3203/) *— 2017 · Proceedings of the First Workshop on Neural Machine Translation*
43. [Style Transfer from Non-Parallel Text by Cross-Alignment](https://md.mova.elamur.ai/free/en/docs/papers/shen-2017-style-transfer-non-parallel-text/) *— our card · 2017 · arXiv:1705.09655*
44. [Style Transfer in Text: Exploration and Evaluation](https://arxiv.org/abs/1711.06861) *— 2017 · arXiv:1711.06861*
45. [Survey: Multiword Expression Processing: A Survey](https://aclanthology.org/J17-4005/) *— 2017*
46. [Syntax-Directed Attention for Neural Machine Translation](https://arxiv.org/abs/1711.04231) *— 2017 · arXiv:1711.04231*
47. [TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA](https://aclanthology.org/S17-2055/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
48. [Target-side Word Segmentation Strategies for Neural Machine Translation](https://aclanthology.org/W17-4706/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
49. [The AFRL-MITLL WMT17 Systems: Old, New, Borrowed, BLEU](https://aclanthology.org/W17-4728/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
50. [The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing](https://aclanthology.org/W17-4774/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
51. [The E2E Dataset: New Challenges For End-to-End Generation](https://aclanthology.org/W17-5525/) *— 2017 · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue*
52. [The Effect of Translationese on Tuning for Statistical Machine Translation](https://aclanthology.org/W17-0230/) *— 2017 · Proceedings of the 21st Nordic Conference on Computational Linguistics*
53. [The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017](https://aclanthology.org/W17-4735/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
54. [The WebNLG Challenge: Generating Text from RDF Data](https://md.mova.elamur.ai/free/en/docs/papers/gardent-2017-webnlg-challenge-generating-text-rdf/) *— our card · 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
55. [Tilde's Machine Translation Systems for WMT 2017](https://aclanthology.org/W17-4737/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
56. [Toward a full-scale neural machine translation in production: the Booking.com use case](https://aclanthology.org/2017.mtsummit-commercial.5/) *— 2017 · Proceedings of Machine Translation Summit XVI: Commercial MT Users and Translators Track*
57. [Towards Automatic Generation of Product Reviews from Aspect-Sentiment Scores](https://aclanthology.org/W17-3526/) *— 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
58. [Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation](https://aclanthology.org/D17-1150/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
59. [Towards Compact and Fast Neural Machine Translation Using a Combined Method](https://aclanthology.org/D17-1154/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
60. [Towards Decoding as Continuous Optimisation in Neural Machine Translation](https://aclanthology.org/D17-1014/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
61. [Towards Implicit Content-Introducing for Generative Short-Text Conversation Systems](https://aclanthology.org/D17-1233/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
62. [Towards Improving Abstractive Summarization via Entailment Generation](https://aclanthology.org/W17-4504/) *— 2017 · Proceedings of the Workshop on New Frontiers in Summarization*
63. [Towards Neural Machine Translation with Partially Aligned Corpora](https://aclanthology.org/I17-1039/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
64. [Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses](https://arxiv.org/abs/1708.07149) *— 2017 · arXiv:1708.07149 · Proceedings of the 55th annual meeting on Association for Computational Linguistics (2017), pp. 1116-1126*
65. [Transition-Based Deep Input Linearization](https://aclanthology.org/E17-1061/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
66. [Transition-Based Generation from Abstract Meaning Representations](https://arxiv.org/abs/1707.07591) *— 2017 · arXiv:1707.07591*
67. [Translating Implicit Discourse Connectives Based on Cross-lingual Annotation and Alignment](https://aclanthology.org/W17-4812/) *— 2017 · Proceedings of the Third Workshop on Discourse in Machine Translation*
68. [Translation Quality and Productivity: A Study on Rich Morphology Languages](https://aclanthology.org/2017.mtsummit-papers.5/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
69. [Understanding and Detecting Supporting Arguments of Diverse Types](https://aclanthology.org/P17-2032/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
70. [Unsupervised Machine Translation Using Monolingual Corpora Only](https://arxiv.org/abs/1711.00043) *— 2017 · arXiv:1711.00043*
71. [Unsupervised Pretraining for Sequence to Sequence Learning](https://aclanthology.org/D17-1039/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
72. [Using Analytic Scoring Rubrics in the Automatic Assessment of College-Level Summary Writing Tasks in L2](https://aclanthology.org/I17-2031/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
73. [Using Images to Improve Machine-Translating E-Commerce Product Listings.](https://aclanthology.org/E17-2101/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
74. [Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning](https://aclanthology.org/D17-1158/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
75. [Utilizing Lexical Similarity between Related, Low-resource Languages for Pivot-based SMT](https://aclanthology.org/I17-2048/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
76. [What does Attention in Neural Machine Translation Pay Attention to?](https://aclanthology.org/I17-1004/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
77. [What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?](https://aclanthology.org/W17-3506/) *— 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
78. [Why Catalan-Spanish Neural Machine Translation? Analysis, comparison and combination with standard Rule and Phrase-based technologies](https://aclanthology.org/W17-1207/) *— 2017 · Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)*
79. [Why We Need New Evaluation Metrics for NLG](https://aclanthology.org/D17-1238/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
80. [Word Representations in Factored Neural Machine Translation](https://aclanthology.org/W17-4703/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
81. [Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings](https://arxiv.org/abs/1704.00380) *— 2017 · arXiv:1704.00380*
82. [Zero-Shot Translation for Indian Languages with Sparse Data](https://aclanthology.org/2017.mtsummit-commercial.1/) *— 2017 · Proceedings of Machine Translation Summit XVI: Commercial MT Users and Translators Track*
83. [A Context-aware Natural Language Generator for Dialogue Systems](https://aclanthology.org/W16-3622/) *— 2016 · Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
84. [A Convolutional Attention Network for Extreme Summarization of Source Code](https://arxiv.org/abs/1602.03001) *— 2016 · arXiv:1602.03001*
85. [A Corpus and Semantic Parser for Multilingual Natural Language Querying of OpenStreetMap](https://aclanthology.org/N16-1088/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
86. [A Neural Verb Lexicon Model with Source-side Syntactic Context for String-to-Tree Machine Translation](https://aclanthology.org/2016.iwslt-1.11/) *— 2016 · Proceedings of the 13th International Conference on Spoken Language Translation*
87. [A New Psychometric-inspired Evaluation Metric for Chinese Word Segmentation](https://aclanthology.org/P16-1206/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [A Novel Approach to Dropped Pronoun Translation](https://aclanthology.org/N16-1113/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
89. [A Reading Comprehension Corpus for Machine Translation Evaluation](https://aclanthology.org/L16-1579/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
90. [A Shared Task on Multimodal Machine Translation and Crosslingual Image Description](https://aclanthology.org/W16-2346/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
91. [A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation](https://aclanthology.org/W16-3908/) *— 2016 · Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT)*
92. [AMR-to-text generation as a Traveling Salesman Problem](https://aclanthology.org/D16-1224/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
93. [Abstractive Compression of Captions with Attentive Recurrent Neural Networks](https://aclanthology.org/W16-6608/) *— 2016 · Proceedings of the 9th International Natural Language Generation conference*
94. [Achieving Accurate Conclusions in Evaluation of Automatic Machine Translation Metrics](https://aclanthology.org/N16-1001/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
95. [Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models](https://aclanthology.org/P16-1100/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [Adapting to All Domains at Once: Rewarding Domain Invariance in SMT](https://aclanthology.org/Q16-1008/) *— 2016 · Transactions of the Association for Computational Linguistics*
97. [Addressing Community Question Answering in English and Arabic](https://arxiv.org/abs/1610.05522) *— 2016 · arXiv:1610.05522*
98. [Alignment-Based Neural Machine Translation](https://aclanthology.org/W16-2206/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers*
99. [An Actor-Critic Algorithm for Sequence Prediction](https://arxiv.org/abs/1607.07086) *— 2016 · arXiv:1607.07086*
100. [An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation](https://aclanthology.org/W16-4613/) *— 2016 · Proceedings of the 3rd Workshop on Asian Translation (WAT2016)*

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