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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 31

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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11. [LARD: Large-scale Artificial Disfluency Generation](https://aclanthology.org/2022.lrec-1.249/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
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19. [Learning Confidence for Transformer-based Neural Machine Translation](https://aclanthology.org/2022.acl-long.167/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
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37. [Local Structure Matters Most: Perturbation Study in NLU](https://aclanthology.org/2022.findings-acl.293/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
38. [Logic-Guided Message Generation from Raw Real-Time Sensor Data](https://aclanthology.org/2022.lrec-1.745/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
39. [Long Text and Multi-Table Summarization: Dataset and Method](https://aclanthology.org/2022.findings-emnlp.145/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
40. [Long Time No See! Open-Domain Conversation with Long-Term Persona Memory](https://aclanthology.org/2022.findings-acl.207/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
41. [Lossless Acceleration for Seq2seq Generation with Aggressive Decoding](https://arxiv.org/abs/2205.10350) *— 2022 · arXiv:2205.10350*
42. [Low Resource Chat Translation: A Benchmark for Hindi–English Language Pair](https://aclanthology.org/2022.amta-research.7/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
43. [Low Resource Style Transfer via Domain Adaptive Meta Learning](https://aclanthology.org/2022.naacl-main.220/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
44. [Low-Resource Neural Machine Translation: A Case Study of Cantonese](https://aclanthology.org/2022.vardial-1.4/) *— 2022 · Proceedings of the Ninth Workshop on NLP for Similar Languages, Varieties and Dialects*
45. [Low-resource Neural Machine Translation with Cross-modal Alignment](https://aclanthology.org/2022.emnlp-main.689/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
46. [Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof\ensuremath<-\ensuremath>French](https://aclanthology.org/2022.lrec-1.717/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
47. [MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation](https://aclanthology.org/2022.findings-emnlp.439/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
48. [MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation](https://aclanthology.org/2022.acl-long.25/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [MLLP-VRAIN UPV systems for the IWSLT 2022 Simultaneous Speech Translation and Speech-to-Speech Translation tasks](https://aclanthology.org/2022.iwslt-1.22/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
50. [MMChat: Multi-Modal Chat Dataset on Social Media](https://aclanthology.org/2022.lrec-1.621/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
51. [MOBA-E2C: Generating MOBA Game Commentaries via Capturing Highlight Events from the Meta-Data](https://aclanthology.org/2022.findings-emnlp.333/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
52. [MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive Perspective](https://aclanthology.org/2022.emnlp-main.705/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
53. [MOVER: Mask, Over-generate and Rank for Hyperbole Generation](https://aclanthology.org/2022.naacl-main.440/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
54. [MS-COMET: More and Better Human Judgements Improve Metric Performance](https://aclanthology.org/2022.wmt-1.47/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
55. [MSCTD: A Multimodal Sentiment Chat Translation Dataset](https://aclanthology.org/2022.acl-long.186/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators](https://aclanthology.org/2022.acl-long.424/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [MTG: A Benchmark Suite for Multilingual Text Generation](https://aclanthology.org/2022.findings-naacl.192/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
58. [MUSS: Multilingual Unsupervised Sentence Simplification by Mining Paraphrases](https://aclanthology.org/2022.lrec-1.176/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
59. [MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem](https://aclanthology.org/2022.wmt-1.51/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
60. [Machine Translation Between High-resource Languages in a Language Documentation Setting](https://aclanthology.org/2022.fieldmatters-1.3/) *— 2022 · Proceedings of the First Workshop on NLP applications to field linguistics*
61. [Machine Translation for Livonian: Catering to 20 Speakers](https://aclanthology.org/2022.acl-short.55/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
62. [Machine Translation from Standard German to Alemannic Dialects](https://aclanthology.org/2022.sigul-1.17/) *— 2022 · Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages*
63. [Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking](https://aclanthology.org/2022.findings-naacl.76/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
64. [Massive-scale Decoding for Text Generation using Lattices](https://aclanthology.org/2022.naacl-main.344/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
65. [Math Word Problem Generation with Multilingual Language Models](https://aclanthology.org/2022.inlg-main.12/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
66. [Maximum Bayes Smatch Ensemble Distillation for AMR Parsing](https://aclanthology.org/2022.naacl-main.393/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
67. [McQueen: a Benchmark for Multimodal Conversational Query Rewrite](https://aclanthology.org/2022.emnlp-main.320/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
68. [Measuring Faithfulness of Abstractive Summaries](https://aclanthology.org/2022.konvens-1.8/) *— 2022 · Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022)*
69. [Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora](https://aclanthology.org/2022.gem-1.35/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
70. [Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning](https://aclanthology.org/2022.emnlp-main.53/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
71. [Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting](https://aclanthology.org/2022.naacl-main.356/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
72. [Misinfo Reaction Frames: Reasoning about Readers'' Reactions to News Headlines](https://aclanthology.org/2022.acl-long.222/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages](https://arxiv.org/abs/2208.00463) *— 2022 · arXiv:2208.00463*
74. [Mitigating Contradictions in Dialogue Based on Contrastive Learning](https://aclanthology.org/2022.findings-acl.219/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
75. [Mitigating Covertly Unsafe Text within Natural Language Systems](https://aclanthology.org/2022.findings-emnlp.211/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
76. [MixQG: Neural Question Generation with Mixed Answer Types](https://aclanthology.org/2022.findings-naacl.111/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
77. [Mixture of Attention Heads: Selecting Attention Heads Per Token](https://arxiv.org/abs/2210.05144) *— 2022 · arXiv:2210.05144*
78. [Model Criticism for Long-Form Text Generation](https://aclanthology.org/2022.emnlp-main.815/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
79. [Modeling Dual Read/Write Paths for Simultaneous Machine Translation](https://aclanthology.org/2022.acl-long.176/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization](https://aclanthology.org/2022.acl-long.37/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
81. [Modeling Intensification for Sign Language Generation: A Computational Approach](https://aclanthology.org/2022.findings-acl.228/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
82. [MovieUN: A Dataset for Movie Understanding and Narrating](https://aclanthology.org/2022.findings-emnlp.135/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
83. [MuLD: The Multitask Long Document Benchmark](https://aclanthology.org/2022.lrec-1.392/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
84. [Mukayese: Turkish NLP Strikes Back](https://aclanthology.org/2022.findings-acl.69/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
85. [MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation](https://aclanthology.org/2022.coling-1.54/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
86. [Multi-Domain Adaptation in Neural Machine Translation with Dynamic Sampling Strategies](https://aclanthology.org/2022.eamt-1.4/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
87. [Multi-Granularity Optimization for Non-Autoregressive Translation](https://aclanthology.org/2022.emnlp-main.339/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
88. [Multi-Party Empathetic Dialogue Generation: A New Task for Dialog Systems](https://aclanthology.org/2022.acl-long.24/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [Multi-Stage Prompting for Knowledgeable Dialogue Generation](https://aclanthology.org/2022.findings-acl.104/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
90. [Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System](https://aclanthology.org/2022.acl-long.319/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [Multi-VQG: Generating Engaging Questions for Multiple Images](https://aclanthology.org/2022.emnlp-main.19/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
92. [Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction](https://aclanthology.org/2022.findings-acl.97/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
93. [MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation](https://arxiv.org/abs/2208.08227) *— 2022 · arXiv:2208.08227*
94. [Multilingual Abstract Meaning Representation for Celtic Languages](https://aclanthology.org/2022.cltw-1.1/) *— 2022 · Proceedings of the 4th Celtic Language Technology Workshop within LREC2022*
95. [Multilingual Machine Translation with Hyper-Adapters](https://aclanthology.org/2022.emnlp-main.77/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
96. [Multimodal Dialogue Response Generation](https://aclanthology.org/2022.acl-long.204/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [Multimodal Generation of Radiology Reports using Knowledge-Grounded Extraction of Entities and Relations](https://aclanthology.org/2022.aacl-main.47/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
98. [Multitasking Framework for Unsupervised Simple Definition Generation](https://aclanthology.org/2022.acl-long.409/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [NIT Rourkela Machine Translation(MT) System Submission to WAT 2022 for MultiIndicMT: An Indic Language Multilingual Shared Task](https://aclanthology.org/2022.wat-1.8/) *— 2022 · Proceedings of the 9th Workshop on Asian Translation*
100. [NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation](https://aclanthology.org/2022.coling-1.306/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*

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