---
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/50/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 50

10821 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/) · … · [49](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/49/) · **50** · [51](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/51/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [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*
2. [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*
3. [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*
4. [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*
5. [MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling](https://aclanthology.org/2022.findings-emnlp.73/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
6. [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*
7. [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)*
8. [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)*
9. [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*
10. [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*
11. [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*
12. [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*
13. [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)*
14. [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)*
15. [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)*
16. [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*
17. [MTLens: Machine Translation Output Debugging](https://aclanthology.org/2022.lrec-1.448/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
18. [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*
19. [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)*
20. [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*
21. [Machine Translation Robustness to Natural Asemantic Variation](https://aclanthology.org/2022.emnlp-main.230/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
22. [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)*
23. [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*
24. [Mask and Regenerate: A Classifier-based Approach for Unpaired Sentiment Transformation of Reviews for Electronic Commerce Websites.](https://aclanthology.org/2022.socialnlp-1.1/) *— 2022 · Proceedings of the Tenth International Workshop on Natural Language Processing for Social Media*
25. [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*
26. [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*
27. [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*
28. [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*
29. [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*
30. [Measuring Faithfulness of Abstractive Summaries](https://aclanthology.org/2022.konvens-1.8/) *— 2022 · Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022)*
31. [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)*
32. [Memory-aligned Knowledge Graph for Clinically Accurate Radiology Image Report Generation](https://aclanthology.org/2022.bionlp-1.11/) *— 2022 · Proceedings of the 21st Workshop on Biomedical Language Processing*
33. [Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases](https://aclanthology.org/2022.coling-1.533/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
34. [Meta-X$_NLG$: A Meta-Learning Approach Based on Language Clustering for Zero-Shot Cross-Lingual Transfer and Generation](https://aclanthology.org/2022.findings-acl.24/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
35. [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*
36. [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*
37. [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)*
38. [Mismatching-Aware Unsupervised Translation Quality Estimation For Low-Resource Languages](https://arxiv.org/abs/2208.00463) *— 2022 · arXiv:2208.00463*
39. [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*
40. [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*
41. [Mix-and-Match: Scalable Dialog Response Retrieval using Gaussian Mixture Embeddings](https://aclanthology.org/2022.findings-emnlp.239/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
42. [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*
43. [Mixture of Attention Heads: Selecting Attention Heads Per Token](https://arxiv.org/abs/2210.05144) *— 2022 · arXiv:2210.05144*
44. [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*
45. [Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder](https://aclanthology.org/2022.findings-emnlp.305/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
46. [Modeling Compositionality with Dependency Graph for Dialogue Generation](https://aclanthology.org/2022.suki-1.2/) *— 2022 · Proceedings of the Workshop on Structured and Unstructured Knowledge Integration (SUKI)*
47. [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)*
48. [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)*
49. [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*
50. [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*
51. [MuLD: The Multitask Long Document Benchmark](https://aclanthology.org/2022.lrec-1.392/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
52. [Mukayese: Turkish NLP Strikes Back](https://aclanthology.org/2022.findings-acl.69/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
53. [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*
54. [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*
55. [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*
56. [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)*
57. [Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation](https://aclanthology.org/2022.findings-acl.7/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
58. [Multi-Stage Prompting for Knowledgeable Dialogue Generation](https://aclanthology.org/2022.findings-acl.104/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
59. [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)*
60. [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*
61. [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*
62. [MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation](https://arxiv.org/abs/2208.08227) *— 2022 · arXiv:2208.08227*
63. [Multiformer: A Head-Configurable Transformer-Based Model for Direct Speech Translation](https://aclanthology.org/2022.naacl-srw.34/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
64. [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*
65. [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*
66. [Multilingual Social Media Text Generation and Evaluation with Few-Shot Prompting](https://aclanthology.org/2022.gem-1.39/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
67. [Multilingual and Multimodal Learning for Brazilian Portuguese](https://aclanthology.org/2022.lrec-1.97/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
68. [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)*
69. [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)*
70. [Multimodal Robustness for Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.582/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
71. [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)*
72. [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*
73. [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*
74. [NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures](https://aclanthology.org/2022.findings-emnlp.15/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
75. [Narrative Why-Question Answering: A Review of Challenges and Datasets](https://aclanthology.org/2022.gem-1.48/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
76. [Navigating Connected Memories with a Task-oriented Dialog System](https://aclanthology.org/2022.emnlp-main.160/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
77. [Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets](https://aclanthology.org/2022.emnlp-main.135/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
78. [Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints](https://aclanthology.org/2022.naacl-main.424/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
79. [NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias](https://aclanthology.org/2022.naacl-main.228/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
80. [Neural Machine Translation with Phrase-Level Universal Visual Representations](https://aclanthology.org/2022.acl-long.390/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
81. [Neural Networks in a Product of Hyperbolic Spaces](https://aclanthology.org/2022.naacl-srw.27/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
82. [Neural Pipeline for Zero-Shot Data-to-Text Generation](https://aclanthology.org/2022.acl-long.271/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation](https://aclanthology.org/2022.findings-emnlp.371/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
84. [NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics](https://aclanthology.org/2022.naacl-main.57/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
85. [News Summarization and Evaluation in the Era of GPT-3](https://arxiv.org/abs/2209.12356) *— 2022 · arXiv:2209.12356*
86. [NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge](https://aclanthology.org/2022.naacl-main.10/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
87. [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) *— 2022 · arXiv:2207.04672*
88. [Noise-robust Cross-modal Interactive Learning with Text2Image Mask for Multi-modal Neural Machine Translation](https://aclanthology.org/2022.coling-1.452/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
89. [Non-Autoregressive Machine Translation: It”s Not as Fast as it Seems](https://aclanthology.org/2022.naacl-main.129/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
90. [Non-Autoregressive Neural Machine Translation: A Call for Clarity](https://aclanthology.org/2022.emnlp-main.179/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
91. [Non-Parallel Text Style Transfer with Self-Parallel Supervision](https://arxiv.org/abs/2204.08123) *— 2022 · arXiv:2204.08123*
92. [Non-Parametric Domain Adaptation for End-to-End Speech Translation](https://aclanthology.org/2022.emnlp-main.21/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
93. [Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems](https://aclanthology.org/2022.acl-long.380/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [Normalization of Spelling Variations in Code-Mixed Data](https://aclanthology.org/2022.icon-main.33/) *— 2022 · Proceedings of the 19th International Conference on Natural Language Processing (ICON)*
95. [Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis](https://aclanthology.org/2022.findings-emnlp.489/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
96. [Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning](https://arxiv.org/abs/2202.00535) *— 2022 · arXiv:2202.00535*
97. [OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework](https://arxiv.org/abs/2202.03052) *— 2022 · arXiv:2202.03052*
98. [Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation](https://aclanthology.org/2022.coling-1.509/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
99. [Offline-to-Online Co-Evolutional User Simulator and Dialogue System](https://aclanthology.org/2022.seretod-1.11/) *— 2022 · Proceedings of the Towards Semi-Supervised and Reinforced Task-Oriented Dialog Systems (SereTOD)*
100. [On Assessing and Developing Spoken `Grammatical Error Correction' Systems](https://aclanthology.org/2022.bea-1.9/) *— 2022 · Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [49](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/49/) · **50** · [51](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/51/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)