---
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/60/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/60/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Bleu: a Method for Automatic Evaluation of…](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/) / cited by

# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 60

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/) · … · [59](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/59/) · **60** · [61](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/61/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Pipeline Signed Japanese Translation Focusing on a Post-positional Particle Complement and Conjugation in a Low-resource Setting](https://aclanthology.org/2021.findings-acl.178/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
2. [Pivot Based Transfer Learning for Neural Machine Translation: CFILT IITB @ WMT 2021 Triangular MT](https://aclanthology.org/2021.wmt-1.39/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
3. [Plan-then-Generate: Controlled Data-to-Text Generation via Planning](https://aclanthology.org/2021.findings-emnlp.76/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
4. [Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation](https://aclanthology.org/2021.eacl-main.32/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
5. [Prefix-Tuning: Optimizing Continuous Prompts for Generation](https://aclanthology.org/2021.acl-long.353/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
6. [Preventing Author Profiling through Zero-Shot Multilingual Back-Translation](https://aclanthology.org/2021.emnlp-main.684/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
7. [Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness](https://aclanthology.org/2021.emnlp-main.418/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
8. [Progressive Multi-Granularity Training for Non-Autoregressive Translation](https://aclanthology.org/2021.findings-acl.247/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
9. [Progressive Transformer-Based Generation of Radiology Reports](https://aclanthology.org/2021.findings-emnlp.241/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
10. [Promoting Graph Awareness in Linearized Graph-to-Text Generation](https://aclanthology.org/2021.findings-acl.82/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
11. [Proxy Indicators for the Quality of Open-domain Dialogues](https://aclanthology.org/2021.emnlp-main.618/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
12. [Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation](https://aclanthology.org/2021.naacl-main.308/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
13. [PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support](https://aclanthology.org/2021.findings-acl.130/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
14. [Put Chatbot into Its Interlocutor”s Shoes: New Framework to Learn Chatbot Responding with Intention](https://aclanthology.org/2021.naacl-main.123/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
15. [QACE: Asking Questions to Evaluate an Image Caption](https://aclanthology.org/2021.findings-emnlp.395/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
16. [QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization](https://aclanthology.org/2021.bionlp-1.33/) *— 2021 · Proceedings of the 20th Workshop on Biomedical Language Processing*
17. [QuestEval: Summarization Asks for Fact-based Evaluation](https://aclanthology.org/2021.emnlp-main.529/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
18. [RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging](https://aclanthology.org/2021.emnlp-main.402/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
19. [REAM$\sharp$: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation](https://aclanthology.org/2021.findings-acl.220/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
20. [R\textasciicircum3Net:Relation-embedded Representation Reconstruction Network for Change Captioning](https://aclanthology.org/2021.emnlp-main.735/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [Reconstructing Implicit Knowledge with Language Models](https://aclanthology.org/2021.deelio-1.2/) *— 2021 · Proceedings of Deep Learning Inside Out (DeeLIO): The 2nd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures*
22. [Recurrent Attention for Neural Machine Translation](https://aclanthology.org/2021.emnlp-main.258/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
23. [Reducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method](https://aclanthology.org/2021.ccl-1.78/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
24. [Reference-Free Word- and Sentence-Level Translation Evaluation with Token-Matching Metrics](https://aclanthology.org/2021.eval4nlp-1.16/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
25. [Referenceless Parsing-Based Evaluation of AMR-to-English Generation](https://md.research.elamur.ai/free/en/papers/manning-2021-referenceless-parsing-based-evaluation-amr/) *— our card · 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
26. [Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models](https://aclanthology.org/2021.acl-long.114/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
27. [Regressive Ensemble for Machine Translation Quality Evaluation](https://aclanthology.org/2021.wmt-1.112/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
28. [Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation](https://aclanthology.org/2021.acl-long.266/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
29. [Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning](https://aclanthology.org/2021.eacl-main.323/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
30. [Restoring and Mining the Records of the Joseon Dynasty via Neural Language Modeling and Machine Translation](https://aclanthology.org/2021.naacl-main.317/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
31. [Restoring the Sister: Reconstructing a Lexicon from Sister Languages using Neural Machine Translation](https://aclanthology.org/2021.americasnlp-1.13/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
32. [Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain](https://aclanthology.org/2021.wmt-1.73/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
33. [Rethinking Automatic Evaluation in Sentence Simplification](https://arxiv.org/abs/2104.07560) *— 2021 · arXiv:2104.07560*
34. [Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach](https://aclanthology.org/2021.emnlp-main.669/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
35. [Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent Variables](https://aclanthology.org/2021.findings-emnlp.366/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
36. [Retrieval Augmented Code Generation and Summarization](https://aclanthology.org/2021.findings-emnlp.232/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
37. [Retrieval Enhanced Model for Commonsense Generation](https://aclanthology.org/2021.findings-acl.269/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
38. [Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning](https://aclanthology.org/2021.findings-emnlp.171/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
39. [Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory](https://aclanthology.org/2021.findings-acl.39/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
40. [Revisiting Multi-Domain Machine Translation](https://aclanthology.org/2021.tacl-1.2/) *— 2021 · Transactions of the Association for Computational Linguistics*
41. [Revisiting Negation in Neural Machine Translation](https://aclanthology.org/2021.tacl-1.45/) *— 2021 · Transactions of the Association for Computational Linguistics*
42. [Revisiting Robust Neural Machine Translation: A Transformer Case Study](https://aclanthology.org/2021.findings-emnlp.323/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
43. [Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation](https://aclanthology.org/2021.naacl-main.133/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
44. [Reward Optimization for Neural Machine Translation with Learned Metrics](https://arxiv.org/abs/2104.07541) *— 2021 · arXiv:2104.07541*
45. [Rewriter-Evaluator Architecture for Neural Machine Translation](https://aclanthology.org/2021.acl-long.443/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
46. [RoBLEURT Submission for WMT2021 Metrics Task](https://aclanthology.org/2021.wmt-1.114/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
47. [RoFormer: Enhanced Transformer with Rotary Position Embedding](https://arxiv.org/abs/2104.09864) *— 2021 · arXiv:2104.09864*
48. [SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation](https://aclanthology.org/2021.inlg-1.21/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
49. [SEPRG: Sentiment aware Emotion controlled Personalized Response Generation](https://aclanthology.org/2021.inlg-1.39/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
50. [SHAPE: Shifted Absolute Position Embedding for Transformers](https://aclanthology.org/2021.emnlp-main.266/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
51. [SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations](https://aclanthology.org/2021.emnlp-main.401/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
52. [SLTEV: Comprehensive Evaluation of Spoken Language Translation](https://aclanthology.org/2021.eacl-demos.9/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
53. [SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis](https://aclanthology.org/2021.acl-long.175/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
54. [SOM-NCSCM : An Efficient Neural Chinese Sentence Compression Model Enhanced with Self-Organizing Map](https://aclanthology.org/2021.emnlp-main.33/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
55. [SPRING Goes Online: End-to-End AMR Parsing and Generation](https://aclanthology.org/2021.emnlp-demo.16/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
56. [Sampling and Filtering of Neural Machine Translation Distillation Data](https://aclanthology.org/2021.naacl-srw.1/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop*
57. [Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries](https://aclanthology.org/2021.acl-short.13/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
58. [SciCap: Generating Captions for Scientific Figures](https://aclanthology.org/2021.findings-emnlp.277/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
59. [SciXGen: A Scientific Paper Dataset for Context-Aware Text Generation](https://aclanthology.org/2021.findings-emnlp.128/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
60. [Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers](https://aclanthology.org/2021.acl-long.566/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
61. [Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks](https://aclanthology.org/2021.naacl-main.151/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
62. [Segmenting Subtitles for Correcting ASR Segmentation Errors](https://aclanthology.org/2021.eacl-main.248/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
63. [Self-Guided Curriculum Learning for Neural Machine Translation](https://aclanthology.org/2021.iwslt-1.25/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
64. [Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents](https://aclanthology.org/2021.naacl-main.319/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
65. [Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer](https://arxiv.org/abs/2110.02950) *— 2021 · arXiv:2110.02950*
66. [Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation](https://aclanthology.org/2021.acl-long.221/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
67. [Self-Training for Compositional Neural NLG in Task-Oriented Dialogue](https://aclanthology.org/2021.inlg-1.10/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
68. [Semantic Answer Similarity for Evaluating Question Answering Models](https://aclanthology.org/2021.mrqa-1.15/) *— 2021 · Proceedings of the 3rd Workshop on Machine Reading for Question Answering*
69. [Semantic Relation-aware Difference Representation Learning for Change Captioning](https://aclanthology.org/2021.findings-acl.6/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
70. [Semantic Representation for Dialogue Modeling](https://aclanthology.org/2021.acl-long.342/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
71. [Semantic Similarity Based Evaluation for Abstractive News Summarization](https://aclanthology.org/2021.gem-1.3/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
72. [SentSim: Crosslingual Semantic Evaluation of Machine Translation](https://aclanthology.org/2021.naacl-main.252/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
73. [Sentence-Permuted Paragraph Generation](https://aclanthology.org/2021.emnlp-main.412/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
74. [Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems](https://aclanthology.org/2021.ranlp-1.137/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
75. [Shades of BLEU, Flavours of Success: The Case of MultiWOZ](https://aclanthology.org/2021.gem-1.4/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
76. [Shellcode_IA32: A Dataset for Automatic Shellcode Generation](https://aclanthology.org/2021.nlp4prog-1.7/) *— 2021 · Proceedings of the 1st Workshop on Natural Language Processing for Programming (NLP4Prog 2021)*
77. [Should we find another model?: Improving Neural Machine Translation Performance with ONE-Piece Tokenization Method without Model Modification](https://aclanthology.org/2021.naacl-industry.13/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers*
78. [SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks](https://aclanthology.org/2021.findings-emnlp.188/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
79. [Similar Language Translation for Catalan, Portuguese and Spanish Using Marian NMT](https://aclanthology.org/2021.wmt-1.31/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
80. [SimpleNER Sentence Simplification System for GEM 2021](https://aclanthology.org/2021.gem-1.14/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
81. [Simplification automatique de textes biomédicaux en français: lorsque des données précises de petite taille aident (French Biomedical Text Simplification : When Small and Precise Helps )](https://aclanthology.org/2021.jeptalnrecital-taln.30/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
82. [Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation](https://aclanthology.org/2021.findings-acl.427/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
83. [Sketchy Scene Captioning: Learning Multi-Level Semantic Information from Sparse Visual Scene Cues](https://aclanthology.org/2021.ccl-1.104/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
84. [Small Model and In-Domain Data Are All You Need](https://aclanthology.org/2021.wmt-1.24/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
85. [Smart-Start Decoding for Neural Machine Translation](https://aclanthology.org/2021.naacl-main.312/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
86. [Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation](https://aclanthology.org/2021.emnlp-main.57/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
87. [Smoothing and Shrinking the Sparse Seq2Seq Search Space](https://aclanthology.org/2021.naacl-main.210/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
88. [Sometimes We Want Ungrammatical Translations](https://aclanthology.org/2021.findings-emnlp.275/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
89. [Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation](https://aclanthology.org/2021.naacl-main.150/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
90. [Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer](https://aclanthology.org/2021.acl-long.546/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
91. [Sparse Attention with Linear Units](https://aclanthology.org/2021.emnlp-main.523/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
92. [Speculative Sampling in Variational Autoencoders for Dialogue Response Generation](https://aclanthology.org/2021.findings-emnlp.407/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
93. [Split-and-Rephrase in a Cross-Lingual Manner: A Complete Pipeline](https://aclanthology.org/2021.ranlp-1.19/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
94. [Stage-wise Fine-tuning for Graph-to-Text Generation](https://aclanthology.org/2021.acl-srw.2/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop*
95. [Structural Adapters in Pretrained Language Models for AMR-to-Text Generation](https://aclanthology.org/2021.emnlp-main.351/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
96. [Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task](https://aclanthology.org/2021.gem-1.12/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
97. [Structured Self-Supervised Pretraining for Commonsense Knowledge Graph Completion](https://aclanthology.org/2021.tacl-1.75/) *— 2021 · Transactions of the Association for Computational Linguistics*
98. [Studying The Impact Of Document-level Context On Simultaneous Neural Machine Translation](https://aclanthology.org/2021.mtsummit-research.17/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
99. [Style Control for Schema-Guided Natural Language Generation](https://aclanthology.org/2021.nlp4convai-1.21/) *— 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI*
100. [Stylistic MR-to-Text Generation Using Pre-trained Language Models](https://aclanthology.org/2021.icon-main.13/) *— 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [59](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/59/) · **60** · [61](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/61/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)