---
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/81/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 81

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/) · … · [80](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/80/) · **81** · [82](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/82/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Event Representations for Automated Story Generation with Deep Neural Nets](https://arxiv.org/abs/1706.01331) *— 2017 · arXiv:1706.01331 · Thirty-Second AAAI Conference on Artificial Intelligence, vol. 32, no. 1, pp. 868-875, Apr. 2018*
2. [Exploiting Cross-Sentence Context for Neural Machine Translation](https://aclanthology.org/D17-1301/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
3. [Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning](https://aclanthology.org/W17-4708/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
4. [Exploiting Relative Frequencies for Data Selection](https://aclanthology.org/2017.mtsummit-papers.14/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
5. [Exploring Hypotheses Spaces in Neural Machine Translation](https://aclanthology.org/2017.mtsummit-papers.22/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
6. [Exploring Neural Text Simplification Models](https://aclanthology.org/P17-2014/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
7. [FBK's Multilingual Neural Machine Translation System for IWSLT 2017](https://aclanthology.org/2017.iwslt-1.5/) *— 2017 · Proceedings of the 14th International Conference on Spoken Language Translation*
8. [Findings of the 2017 Conference on Machine Translation (WMT17)](https://aclanthology.org/W17-4717/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
9. [Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description](https://aclanthology.org/W17-4718/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
10. [Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data](https://aclanthology.org/2017.mtsummit-papers.13/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
11. [GEC into the future: Where are we going and how do we get there?](https://aclanthology.org/W17-5019/) *— 2017 · Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications*
12. [Generating Image Descriptions using Multilingual Data](https://aclanthology.org/W17-4750/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
13. [Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model](https://aclanthology.org/E17-1036/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
14. [Generating titles for millions of browse pages on an e-Commerce site](https://aclanthology.org/W17-3525/) *— 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
15. [Generative Encoder-Decoder Models for Task-Oriented Spoken Dialog Systems with Chatting Capability](https://aclanthology.org/W17-5505/) *— 2017 · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue*
16. [Grammatical Error Correction with Neural Reinforcement Learning](https://aclanthology.org/I17-2062/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
17. [Graph Convolutional Encoders for Syntax-aware Neural Machine Translation](https://aclanthology.org/D17-1209/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
18. [How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs](https://aclanthology.org/E17-2060/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
19. [Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles](https://aclanthology.org/W17-2004/) *— 2017 · Proceedings of the Sixth Workshop on Vision and Language*
20. [Hunter MT: A Course for Young Researchers in WMT17](https://aclanthology.org/W17-4744/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
21. [Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation](https://aclanthology.org/P17-2020/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
22. [Identifying Where to Focus in Reading Comprehension for Neural Question Generation](https://aclanthology.org/D17-1219/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
23. [Imagination Improves Multimodal Translation](https://aclanthology.org/I17-1014/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
24. [Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder](https://aclanthology.org/P17-1177/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language](https://aclanthology.org/W17-5703/) *— 2017 · Proceedings of the 4th Workshop on Asian Translation (WAT2017)*
26. [Improving Japanese-to-English Neural Machine Translation by Voice Prediction](https://aclanthology.org/I17-2047/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
27. [Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information](https://aclanthology.org/I17-1003/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
28. [Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings](https://aclanthology.org/W17-4702/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
29. [Incorporating Global Visual Features into Attention-Based Neural Machine Translation](https://arxiv.org/abs/1701.06521) *— 2017 · arXiv:1701.06521*
30. [Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation](https://aclanthology.org/P17-1140/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Instance Weighting for Neural Machine Translation Domain Adaptation](https://aclanthology.org/D17-1155/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
32. [Integrating Meaning into Quality Evaluation of Machine Translation](https://aclanthology.org/E17-1020/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
33. [Investigating Phrase-Based and Neural-Based Machine Translation on Low-Resource Settings](https://aclanthology.org/Y17-1051/) *— 2017 · Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation*
34. [Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing](https://aclanthology.org/W17-5705/) *— 2017 · Proceedings of the 4th Workshop on Asian Translation (WAT2017)*
35. [Kurdish Interdialect Machine Translation](https://aclanthology.org/W17-1208/) *— 2017 · Proceedings of the Fourth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)*
36. [LEPOR: An Augmented Machine Translation Evaluation Metric](https://arxiv.org/abs/1703.08748) *— 2017 · arXiv:1703.08748 · University of Macau Library. MSc. Thesis. 2014. https://library2.um.edu.mo/etheses/b33358400_ft.pdf*
37. [LIUM Machine Translation Systems for WMT17 News Translation Task](https://aclanthology.org/W17-4726/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
38. [LIUM-CVC Submissions for WMT17 Multimodal Translation Task](https://aclanthology.org/W17-4746/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
39. [LMU Munich's Neural Machine Translation Systems for News Articles and Health Information Texts](https://aclanthology.org/W17-4730/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
40. [Learning Bilingual Projections of Embeddings for Vocabulary Expansion in Machine Translation](https://aclanthology.org/W17-2617/) *— 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP*
41. [Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders](https://aclanthology.org/P17-1061/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs](https://md.research.elamur.ai/free/en/papers/manchego-2017-learning-how-simplify-explicit-labeling/) *— our card · 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
43. [Learning an Interactive Attention Policy for Neural Machine Translation](https://aclanthology.org/2017.mtsummit-papers.9/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
44. [Learning from Parenthetical Sentences for Term Translation in Machine Translation](https://aclanthology.org/W17-6005/) *— 2017 · Proceedings of the 9th SIGHAN Workshop on Chinese Language Processing*
45. [Learning to Ask: Neural Question Generation for Reading Comprehension](https://arxiv.org/abs/1705.00106) *— 2017 · arXiv:1705.00106*
46. [Learning to Explain Non-Standard English Words and Phrases](https://aclanthology.org/I17-2070/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
47. [Learning to Generate Market Comments from Stock Prices](https://aclanthology.org/P17-1126/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
48. [Learning to Generate Product Reviews from Attributes](https://aclanthology.org/E17-1059/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
49. [Learning to Parse and Translate Improves Neural Machine Translation](https://aclanthology.org/P17-2012/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
50. [Learning to Translate in Real-time with Neural Machine Translation](https://aclanthology.org/E17-1099/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
51. [Learning to generate one-sentence biographies from Wikidata](https://aclanthology.org/E17-1060/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
52. [Learning variable length units for SMT between related languages via Byte Pair Encoding](https://aclanthology.org/W17-4102/) *— 2017 · Proceedings of the First Workshop on Subword and Character Level Models in NLP*
53. [LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features](https://aclanthology.org/S17-2050/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
54. [Lexical Chains meet Word Embeddings in Document-level Statistical Machine Translation](https://aclanthology.org/W17-4813/) *— 2017 · Proceedings of the Third Workshop on Discourse in Machine Translation*
55. [Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation](https://md.research.elamur.ai/free/en/papers/ferreira-2017-linguistic-realisation-as-machine-translation/) *— our card · 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
56. [Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic](https://aclanthology.org/2017.mtsummit-papers.15/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
57. [MEANT 2.0: Accurate semantic MT evaluation for any output language](https://md.research.elamur.ai/free/en/papers/lo-2017-meant-2-0-accurate-semantic/) *— our card · 2017 · Proceedings of the Second Conference on Machine Translation*
58. [MITRE at SemEval-2017 Task 1: Simple Semantic Similarity](https://aclanthology.org/S17-2027/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
59. [MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models](https://aclanthology.org/E17-2011/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
60. [Machine Comprehension by Text-to-Text Neural Question Generation](https://aclanthology.org/W17-2603/) *— 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP*
61. [Machine Translation Evaluation with Neural Networks](https://arxiv.org/abs/1710.02095) *— 2017 · arXiv:1710.02095 · Computer Speech & Language 45: 180-200 (2017)*
62. [Machine Translation of Speech-Like Texts: Strategies for the Inclusion of Context](https://aclanthology.org/2017.jeptalnrecital-recital.1/) *— 2017 · Actes des 24ème Conférence sur le Traitement Automatique des Langues Naturelles. 19es REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL 2017)*
63. [May I take your order? A Neural Model for Extracting Structured Information from Conversations](https://aclanthology.org/E17-1043/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
64. [Memory-augmented Neural Machine Translation](https://aclanthology.org/D17-1146/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
65. [Mining Social Science Publications for Survey Variables](https://aclanthology.org/W17-2907/) *— 2017 · Proceedings of the Second Workshop on NLP and Computational Social Science*
66. [Modeling Situations in Neural Chat Bots](https://aclanthology.org/P17-3020/) *— 2017 · Proceedings of ACL 2017, Student Research Workshop*
67. [Multi-Domain Neural Machine Translation through Unsupervised Adaptation](https://aclanthology.org/W17-4713/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
68. [Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models](https://aclanthology.org/I17-1061/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
69. [Multi-Task Video Captioning with Video and Entailment Generation](https://aclanthology.org/P17-1117/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [Multilingual Neural Machine Translation for Low Resource Languages](https://aclanthology.org/2017.clicit-1.37/) *— 2017 · Proceedings of the Fourth Italian Conference on Computational Linguistics (CLiC-it 2017)*
71. [Natural Language Descriptions for Human Activities in Video Streams](https://aclanthology.org/W17-3512/) *— 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
72. [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)*
73. [Neural AMR: Sequence-to-Sequence Models for Parsing and Generation](https://md.research.elamur.ai/free/en/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)*
74. [Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy](https://aclanthology.org/2017.mtsummit-papers.18/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
75. [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)*
76. [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*
77. [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*
78. [Neural Machine Translation with Word Predictions](https://aclanthology.org/D17-1013/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
79. [Neural Paraphrase Generation using Transfer Learning](https://aclanthology.org/W17-3542/) *— 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
80. [Neural Post-Editing Based on Quality Estimation](https://aclanthology.org/W17-4776/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
81. [Neural Pre-Translation for Hybrid Machine Translation](https://aclanthology.org/2017.mtsummit-papers.3/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
82. [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*
83. [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*
84. [Neural and Statistical Methods for Leveraging Meta-information in Machine Translation](https://aclanthology.org/2017.mtsummit-papers.4/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
85. [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*
86. [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*
87. [Non-Autoregressive Neural Machine Translation](https://arxiv.org/abs/1711.02281) *— 2017 · arXiv:1711.02281*
88. [Normalizador de Texto para Lingua Portuguesa baseado em Modelo de Linguagem (A Normalizer based on Language Model for Texts in Portuguese)In Portuguese](https://aclanthology.org/W17-6617/) *— 2017 · Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology*
89. [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*
90. [On Integrating Discourse in Machine Translation](https://aclanthology.org/W17-4814/) *— 2017 · Proceedings of the Third Workshop on Discourse in Machine Translation*
91. [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*
92. [Overview of the 4th Workshop on Asian Translation](https://aclanthology.org/W17-5701/) *— 2017 · Proceedings of the 4th Workshop on Asian Translation (WAT2017)*
93. [PJIIT's systems for WMT 2017 Conference](https://aclanthology.org/W17-4743/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
94. [Patent NMT integrated with Large Vocabulary Phrase Translation by SMT at WAT 2017](https://aclanthology.org/W17-5709/) *— 2017 · Proceedings of the 4th Workshop on Asian Translation (WAT2017)*
95. [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*
96. [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*
97. [Phrase Table Induction Using In-Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation](https://aclanthology.org/Q17-1034/) *— 2017 · Transactions of the Association for Computational Linguistics*
98. [Predicting Target Language CCG Supertags Improves Neural Machine Translation](https://aclanthology.org/W17-4707/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
99. [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)*
100. [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*

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