---
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/58/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 58

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/) · … · [57](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/57/) · **58** · [59](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/59/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting](https://aclanthology.org/2021.emnlp-main.45/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
2. [Improving Similar Language Translation With Transfer Learning](https://aclanthology.org/2021.wmt-1.27/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
3. [Improving Text Auto-Completion with Next Phrase Prediction](https://aclanthology.org/2021.findings-emnlp.378/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
4. [Improving Unsupervised Question Answering via Summarization-Informed Question Generation](https://aclanthology.org/2021.emnlp-main.340/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
5. [Incorporating translation quality estimation into Chinese-Korean neural machine translation](https://aclanthology.org/2021.ccl-1.81/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
6. [Incremental Beam Manipulation for Natural Language Generation](https://aclanthology.org/2021.eacl-main.219/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
7. [IndT5: A Text-to-Text Transformer for 10 Indigenous Languages](https://aclanthology.org/2021.americasnlp-1.30/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
8. [Informed Sampling for Diversity in Concept-to-Text NLG](https://aclanthology.org/2021.findings-emnlp.213/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
9. [Injecting Entity Types into Entity-Guided Text Generation](https://aclanthology.org/2021.emnlp-main.56/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
10. [Input Augmentation Improves Constrained Beam Search for Neural Machine Translation: NTT at WAT 2021](https://aclanthology.org/2021.wat-1.3/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
11. [Integrated Training for Sequence-to-Sequence Models Using Non-Autoregressive Transformer](https://aclanthology.org/2021.iwslt-1.32/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
12. [Integrating Unsupervised Data Generation into Self-Supervised Neural Machine Translation for Low-Resource Languages](https://aclanthology.org/2021.mtsummit-research.7/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
13. [Integration of Machine Translation and Translation Memory: Post-Editing Efforts](https://aclanthology.org/2021.triton-1.18/) *— 2021 · Proceedings of the Translation and Interpreting Technology Online Conference*
14. [Investigating Active Learning in Interactive Neural Machine Translation](https://aclanthology.org/2021.mtsummit-research.2/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
15. [Investigating Code-Mixed Modern Standard Arabic-Egyptian to English Machine Translation](https://aclanthology.org/2021.calcs-1.8/) *— 2021 · Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching*
16. [Investigating Memorization of Conspiracy Theories in Text Generation](https://aclanthology.org/2021.findings-acl.416/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
17. [Investigating Pretrained Language Models for Graph-to-Text Generation](https://aclanthology.org/2021.nlp4convai-1.20/) *— 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI*
18. [Investigating Softmax Tempering for Training Neural Machine Translation Models](https://aclanthology.org/2021.mtsummit-research.10/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
19. [Investigating Text Simplification Evaluation](https://aclanthology.org/2021.findings-acl.77/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
20. [Investigating the Helpfulness of Word-Level Quality Estimation for Post-Editing Machine Translation Output](https://aclanthology.org/2021.emnlp-main.799/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation](https://aclanthology.org/2021.findings-acl.92/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
22. [Is This Translation Error Critical?: Classification-Based Human and Automatic Machine Translation Evaluation Focusing on Critical Errors](https://aclanthology.org/2021.humeval-1.5/) *— 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)*
23. [Iterative GNN-based Decoder for Question Generation](https://aclanthology.org/2021.emnlp-main.201/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
24. [Itihasa: A large-scale corpus for Sanskrit to English translation](https://aclanthology.org/2021.wat-1.22/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
25. [JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs](https://aclanthology.org/2021.findings-acl.223/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
26. [Jointly Learning to Repair Code and Generate Commit Message](https://aclanthology.org/2021.emnlp-main.771/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
27. [Journalistic Guidelines Aware News Image Captioning](https://aclanthology.org/2021.emnlp-main.419/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
28. [Just Ask! Evaluating Machine Translation by Asking and Answering Questions](https://aclanthology.org/2021.wmt-1.58/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
29. [KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference](https://aclanthology.org/2021.acl-long.196/) *— 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)*
30. [KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals](https://aclanthology.org/2021.findings-emnlp.94/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
31. [KM-BART: Knowledge Enhanced Multimodal BART for Visual Commonsense Generation](https://aclanthology.org/2021.acl-long.44/) *— 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)*
32. [KPQA: A Metric for Generative Question Answering Using Keyphrase Weights](https://aclanthology.org/2021.naacl-main.170/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
33. [Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text](https://aclanthology.org/2021.acl-long.498/) *— 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)*
34. [Keep the Primary, Rewrite the Secondary: A Two-Stage Approach for Paraphrase Generation](https://aclanthology.org/2021.findings-acl.50/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
35. [Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning](https://aclanthology.org/2021.findings-emnlp.45/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
36. [Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training](https://aclanthology.org/2021.naacl-main.278/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
37. [Knowledge Grounded Multimodal Dialog Generation in Task-oriented Settings](https://aclanthology.org/2021.paclic-1.45/) *— 2021 · Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation*
38. [Knowledge-Grounded Dialogue Generation with Term-level De-noising](https://aclanthology.org/2021.findings-acl.262/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
39. [L2C: Describing Visual Differences Needs Semantic Understanding of Individuals](https://aclanthology.org/2021.eacl-main.196/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
40. [LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing](https://aclanthology.org/2021.acl-demo.38/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
41. [LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer](https://aclanthology.org/2021.findings-acl.344/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
42. [Language Model Augmented Relevance Score](https://aclanthology.org/2021.acl-long.521/) *— 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)*
43. [Large-Scale English-Japanese Simultaneous Interpretation Corpus: Construction and Analyses with Sentence-Aligned Data](https://aclanthology.org/2021.iwslt-1.27/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
44. [Latent Hatred: A Benchmark for Understanding Implicit Hate Speech](https://aclanthology.org/2021.emnlp-main.29/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
45. [Latent Reasoning for Low-Resource Question Generation](https://aclanthology.org/2021.findings-acl.265/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
46. [Latent Tree Decomposition Parsers for AMR-to-Text Generation](https://arxiv.org/abs/2108.12304) *— 2021 · arXiv:2108.12304*
47. [LayoutReader: Pre-training of Text and Layout for Reading Order Detection](https://aclanthology.org/2021.emnlp-main.389/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
48. [LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification](https://aclanthology.org/2021.acl-long.276/) *— 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)*
49. [Learning Compact Metrics for MT](https://aclanthology.org/2021.emnlp-main.58/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
50. [Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning](https://aclanthology.org/2021.eacl-main.233/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
51. [Learning Kernel-Smoothed Machine Translation with Retrieved Examples](https://aclanthology.org/2021.emnlp-main.579/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
52. [Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch](https://arxiv.org/abs/2102.04010) *— 2021 · arXiv:2102.04010*
53. [Learning Sequential and Structural Information for Source Code Summarization](https://aclanthology.org/2021.findings-acl.251/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
54. [Learning Shared Semantic Space for Speech-to-Text Translation](https://aclanthology.org/2021.findings-acl.195/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
55. [Learning and Analyzing Generation Order for Undirected Sequence Models](https://aclanthology.org/2021.findings-emnlp.298/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
56. [Learning to Ask Conversational Questions by Optimizing Levenshtein Distance](https://aclanthology.org/2021.acl-long.438/) *— 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)*
57. [Learning to Generate Questions by Learning to Recover Answer-containing Sentences](https://aclanthology.org/2021.findings-acl.132/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
58. [Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study](https://aclanthology.org/2021.naacl-main.134/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
59. [Learning to Rewrite for Non-Autoregressive Neural Machine Translation](https://aclanthology.org/2021.emnlp-main.265/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
60. [Learning to Selectively Learn for Weakly-supervised Paraphrase Generation](https://aclanthology.org/2021.emnlp-main.480/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
61. [Les lettres et la machine : un état de l”art en traduction littéraire automatique (Machines in the humanities: current state of the art in literary machine translation)](https://aclanthology.org/2021.jeptalnrecital-recital.3/) *— 2021 · Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 2 : 23e REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL)*
62. [Lexicon Learning for Few Shot Sequence Modeling](https://aclanthology.org/2021.acl-long.382/) *— 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)*
63. [Like Chalk and Cheese? On the Effects of Translationese in MT Training](https://aclanthology.org/2021.mtsummit-research.9/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
64. [Linear Transformers Are Secretly Fast Weight Programmers](https://arxiv.org/abs/2102.11174) *— 2021 · arXiv:2102.11174*
65. [Logic-Consistency Text Generation from Semantic Parses](https://aclanthology.org/2021.findings-acl.388/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
66. [Long Document Summarization in a Low Resource Setting using Pretrained Language Models](https://aclanthology.org/2021.acl-srw.7/) *— 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*
67. [Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence](https://aclanthology.org/2021.acl-long.499/) *— 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)*
68. [Love Thy Neighbor: Combining Two Neighboring Low-Resource Languages for Translation](https://aclanthology.org/2021.mtsummit-loresmt.5/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
69. [Low Resource Similar Language Neural Machine Translation for Tamil-Telugu](https://aclanthology.org/2021.wmt-1.30/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
70. [Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining](https://aclanthology.org/2021.americasnlp-1.26/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
71. [Low-Resource Machine Translation based on Asynchronous Dynamic Programming](https://aclanthology.org/2021.ccl-1.79/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
72. [MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers](https://arxiv.org/abs/2102.01454) *— 2021 · arXiv:2102.01454*
73. [MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding](https://aclanthology.org/2021.naacl-main.336/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
74. [MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation](https://aclanthology.org/2021.eval4nlp-1.13/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
75. [MT-Telescope: An interactive platform for contrastive evaluation of MT systems](https://aclanthology.org/2021.acl-demo.9/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
76. [MTEQA at WMT21 Metrics Shared Task](https://aclanthology.org/2021.wmt-1.110/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
77. [Machine Translation Believability](https://aclanthology.org/2021.hcinlp-1.14/) *— 2021 · Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing*
78. [Machine Translation Decoding beyond Beam Search](https://aclanthology.org/2021.emnlp-main.662/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
79. [Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021](https://aclanthology.org/2021.mtsummit-loresmt.15/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
80. [Machine Translation into Low-resource Language Varieties](https://aclanthology.org/2021.acl-short.16/) *— 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)*
81. [Machine Translation of Low-Resource Indo-European Languages](https://aclanthology.org/2021.wmt-1.41/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
82. [Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model](https://aclanthology.org/2021.wat-1.5/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
83. [Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation](https://aclanthology.org/2021.eacl-main.188/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
84. [Macro-Average: Rare Types Are Important Too](https://aclanthology.org/2021.naacl-main.90/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
85. [Make the Blind Translator See The World: A Novel Transfer Learning Solution for Multimodal Machine Translation](https://aclanthology.org/2021.mtsummit-research.12/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
86. [Malta National Language Technology Platform: A vision for enhancing Malta”s official languages using Machine Translation](https://aclanthology.org/2021.mmtlrl-1.3/) *— 2021 · Proceedings of the First Workshop on Multimodal Machine Translation for Low Resource Languages (MMTLRL 2021)*
87. [Manipuri-English Machine Translation using Comparable Corpus](https://aclanthology.org/2021.mtsummit-loresmt.8/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
88. [Many-to-English Machine Translation Tools, Data, and Pretrained Models](https://aclanthology.org/2021.acl-demo.37/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
89. [Maria: A Visual Experience Powered Conversational Agent](https://aclanthology.org/2021.acl-long.435/) *— 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)*
90. [Mask Attention Networks: Rethinking and Strengthen Transformer](https://aclanthology.org/2021.naacl-main.135/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
91. [Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints](https://aclanthology.org/2021.emnlp-main.484/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
92. [Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations](https://aclanthology.org/2021.emnlp-main.348/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
93. [Measuring Association Between Labels and Free-Text Rationales](https://aclanthology.org/2021.emnlp-main.804/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
94. [Measuring Brazilian Portuguese Product Titles Similarity using Embeddings](https://aclanthology.org/2021.stil-1.14/) *— 2021 · Proceedings of the 13th Brazilian Symposium in Information and Human Language Technology*
95. [Measuring Coding Challenge Competence With APPS](https://arxiv.org/abs/2105.09938) *— 2021 · arXiv:2105.09938*
96. [Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions](https://arxiv.org/abs/2106.03873) *— 2021 · arXiv:2106.03873*
97. [Measuring Similarity of Opinion-bearing Sentences](https://aclanthology.org/2021.newsum-1.9/) *— 2021 · Proceedings of the Third Workshop on New Frontiers in Summarization*
98. [Measuring and Increasing Context Usage in Context-Aware Machine Translation](https://aclanthology.org/2021.acl-long.505/) *— 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)*
99. [Measuring the `I don't know' Problem through the Lens of Gricean Quantity](https://aclanthology.org/2021.naacl-main.450/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
100. [MeetDot: Videoconferencing with Live Translation Captions](https://aclanthology.org/2021.emnlp-demo.23/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [57](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/57/) · **58** · [59](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/59/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)