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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 30

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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1. [Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case Reports](https://aclanthology.org/2022.wmt-1.69/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
2. [Findings of the WMT 2022 Shared Task on Automatic Post-Editing](https://aclanthology.org/2022.wmt-1.5/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
3. [Fine-Grained Controllable Text Generation Using Non-Residual Prompting](https://aclanthology.org/2022.acl-long.471/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Fine-grained Contrastive Learning for Definition Generation](https://aclanthology.org/2022.aacl-main.73/) *— 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)*
5. [Fine-grained Image Captioning with CLIP Reward](https://aclanthology.org/2022.findings-naacl.39/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
6. [Fine-tuned Language Models are Continual Learners](https://arxiv.org/abs/2205.12393) *— 2022 · arXiv:2205.12393*
7. [FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation](https://aclanthology.org/2022.emnlp-main.220/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
8. [Flexible text generation for counterfactual fairness probing](https://aclanthology.org/2022.woah-1.20/) *— 2022 · Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH)*
9. [Flow-Adapter Architecture for Unsupervised Machine Translation](https://aclanthology.org/2022.acl-long.89/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows](https://aclanthology.org/2022.emnlp-main.715/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
11. [Focus! Relevant and Sufficient Context Selection for News Image Captioning](https://aclanthology.org/2022.findings-emnlp.450/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
12. [Focused Concatenation for Context-Aware Neural Machine Translation](https://aclanthology.org/2022.wmt-1.77/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
13. [Food for Thought: How can we exploit contextual embeddings in the translation of idiomatic expressions?](https://aclanthology.org/2022.flp-1.14/) *— 2022 · Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)*
14. [From COMET to COMES – Can Summary Evaluation Benefit from Translation Evaluation?](https://aclanthology.org/2022.eval4nlp-1.3/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
15. [From Simultaneous to Streaming Machine Translation by Leveraging Streaming History](https://aclanthology.org/2022.acl-long.480/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation](https://aclanthology.org/2022.acl-long.93/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
17. [Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation](https://aclanthology.org/2022.acl-long.121/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation](https://aclanthology.org/2022.naacl-main.51/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
19. [GAP: A Graph-aware Language Model Framework for Knowledge Graph-to-Text Generation](https://aclanthology.org/2022.coling-1.506/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
20. [GCPG: A General Framework for Controllable Paraphrase Generation](https://aclanthology.org/2022.findings-acl.318/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
21. [GEMv2: Multilingual NLG Benchmarking in a Single Line of Code](https://aclanthology.org/2022.emnlp-demos.27/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
22. [GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation](https://aclanthology.org/2022.emnlp-main.787/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
23. [GLM: General Language Model Pretraining with Autoregressive Blank Infilling](https://aclanthology.org/2022.acl-long.26/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [GRS: Combining Generation and Revision in Unsupervised Sentence Simplification](https://aclanthology.org/2022.findings-acl.77/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
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26. [Generating Questions from Wikidata Triples](https://aclanthology.org/2022.lrec-1.29/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
27. [Generative Language Models for Paragraph-Level Question Generation](https://aclanthology.org/2022.emnlp-main.42/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
28. [Generative Pretraining for Paraphrase Evaluation](https://aclanthology.org/2022.acl-long.280/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Geographical Distance Is The New Hyperparameter: A Case Study Of Finding The Optimal Pre-trained Language For English-isiZulu Machine Translation.](https://aclanthology.org/2022.mia-1.1/) *— 2022 · Proceedings of the Workshop on Multilingual Information Access (MIA)*
30. [German Phoneme Recognition with Text-to-Phoneme Data Augmentation](https://arxiv.org/abs/2211.13776) *— 2022 · arXiv:2211.13776*
31. [Gradient-guided Unsupervised Text Style Transfer via Contrastive Learning](https://arxiv.org/abs/2202.00469) *— 2022 · arXiv:2202.00469*
32. [Grafting Pre-trained Models for Multimodal Headline Generation](https://aclanthology.org/2022.emnlp-industry.25/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
33. [Graph Pre-training for AMR Parsing and Generation](https://aclanthology.org/2022.acl-long.415/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
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35. [Graph-to-Text Generation with Dynamic Structure Pruning](https://aclanthology.org/2022.coling-1.534/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
36. [Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation](https://aclanthology.org/2022.findings-emnlp.547/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
37. [Grounding in social media: An approach to building a chit-chat dialogue model](https://aclanthology.org/2022.naacl-srw.2/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
38. [Guiding Neural Story Generation with Reader Models](https://aclanthology.org/2022.findings-emnlp.526/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
39. [Guiding Visual Question Generation](https://aclanthology.org/2022.naacl-main.118/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
40. [GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation](https://aclanthology.org/2022.emnlp-main.774/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
41. [HAWP: a Dataset for Hindi Arithmetic Word Problem Solving](https://aclanthology.org/2022.lrec-1.373/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
42. [HECTOR: A Hybrid TExt SimplifiCation TOol for Raw Texts in French](https://aclanthology.org/2022.lrec-1.493/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
43. [HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization](https://aclanthology.org/2022.acl-long.58/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [HaRiM$^+$: Evaluating Summary Quality with Hallucination Risk](https://aclanthology.org/2022.aacl-main.66/) *— 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)*
45. [Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model](https://aclanthology.org/2022.emnlp-main.665/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
46. [Harnessing Abstractive Summarization for Fact-Checked Claim Detection](https://aclanthology.org/2022.coling-1.259/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
47. [High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics](https://aclanthology.org/2022.tacl-1.47/) *— 2022 · Transactions of the Association for Computational Linguistics*
48. [History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System](https://aclanthology.org/2022.findings-emnlp.247/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
49. [How Do Seq2Seq Models Perform on End-to-End Data-to-Text Generation?](https://aclanthology.org/2022.acl-long.531/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [How Far are We from Robust Long Abstractive Summarization?](https://aclanthology.org/2022.emnlp-main.172/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
51. [How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?](https://aclanthology.org/2022.amta-research.8/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
52. [Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation](https://aclanthology.org/2022.acl-long.394/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer](https://aclanthology.org/2022.humeval-1.9/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
54. [Human Ratings Do Not Reflect Downstream Utility: A Study of Free-Text Explanations for Model Predictions](https://aclanthology.org/2022.blackboxnlp-1.14/) *— 2022 · Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
55. [Human evaluation of web-crawled parallel corpora for machine translation](https://aclanthology.org/2022.humeval-1.4/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
56. [IIT Bombay's WMT22 Automatic Post-Editing Shared Task Submission](https://aclanthology.org/2022.wmt-1.67/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
57. [IMPARA: Impact-Based Metric for GEC Using Parallel Data](https://aclanthology.org/2022.coling-1.316/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
58. [Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET](https://aclanthology.org/2022.aacl-main.83/) *— 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)*
59. [Image Caption Generation for Low-Resource Assamese Language](https://aclanthology.org/2022.rocling-1.33/) *— 2022 · Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (ROCLING 2022)*
60. [Impact of Evaluation Methodologies on Code Summarization](https://aclanthology.org/2022.acl-long.339/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [Improving Bot Response Contradiction Detection via Utterance Rewriting](https://aclanthology.org/2022.sigdial-1.56/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
62. [Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics](https://aclanthology.org/2022.aacl-short.23/) *— 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 2: Short Papers)*
63. [Improving Compositional Generalization with Self-Training for Data-to-Text Generation](https://aclanthology.org/2022.acl-long.289/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
64. [Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta-Information](https://aclanthology.org/2022.findings-naacl.4/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
65. [Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks](https://aclanthology.org/2022.emnlp-main.678/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
66. [Improving Large-scale Paraphrase Acquisition and Generation](https://aclanthology.org/2022.emnlp-main.631/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
67. [Improving Machine Translation with Phrase Pair Injection and Corpus Filtering](https://aclanthology.org/2022.emnlp-main.361/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
68. [Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation](https://aclanthology.org/2022.acl-long.44/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning](https://aclanthology.org/2022.emnlp-main.195/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
70. [Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers](https://aclanthology.org/2022.dlg4nlp-1.2/) *— 2022 · Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)*
71. [Improving Text Simplification with Factuality Error Detection](https://aclanthology.org/2022.tsar-1.16/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
72. [Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mapping](https://aclanthology.org/2022.findings-emnlp.485/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
73. [Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards](https://aclanthology.org/2022.findings-emnlp.319/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
74. [In-the-Wild Video Question Answering](https://aclanthology.org/2022.coling-1.496/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
75. [Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation](https://aclanthology.org/2022.bionlp-1.10/) *— 2022 · Proceedings of the 21st Workshop on Biomedical Language Processing*
76. [Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective](https://aclanthology.org/2022.emnlp-main.453/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
77. [IndicBART: A Pre-trained Model for Indic Natural Language Generation](https://aclanthology.org/2022.findings-acl.145/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
78. [IndicXNLI: Evaluating Multilingual Inference for Indian Languages](https://aclanthology.org/2022.emnlp-main.755/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
79. [Inducing Positive Perspectives with Text Reframing](https://aclanthology.org/2022.acl-long.257/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning](https://aclanthology.org/2022.findings-emnlp.520/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
81. [Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue](https://aclanthology.org/2022.emnlp-main.280/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
82. [Information-Transport-based Policy for Simultaneous Translation](https://aclanthology.org/2022.emnlp-main.65/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
83. [Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems](https://aclanthology.org/2022.emnlp-main.820/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
84. [InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning](https://aclanthology.org/2022.emnlp-main.33/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
85. [Interactive Evaluation of Dialog Track at DSTC9](https://aclanthology.org/2022.lrec-1.616/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
86. [Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics](https://aclanthology.org/2022.findings-acl.14/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
87. [Investigating Failures of Automatic Translation in the Case of Unambiguous Gender](https://aclanthology.org/2022.acl-long.243/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [Investigating the Benefits of Free-Form Rationales](https://aclanthology.org/2022.findings-emnlp.432/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
89. [Investigating the Impact of Different Pivot Languages on Translation Quality](https://aclanthology.org/2022.amta-wetpr.3/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Workshop 1: Empirical Translation Process Research)*
90. [Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples](https://aclanthology.org/2022.emnlp-main.370/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
91. [Investigating the use of Paraphrase Generation for Question Reformulation in the FRANK QA system](https://arxiv.org/abs/2206.02737) *— 2022 · arXiv:2206.02737*
92. [Investigation of English to Hindi Multimodal Neural Machine Translation using Transliteration-based Phrase Pairs Augmentation](https://aclanthology.org/2022.wat-1.15/) *— 2022 · Proceedings of the 9th Workshop on Asian Translation*
93. [IrekiaLFes: a New Open Benchmark and Baseline Systems for Spanish Automatic Text Simplification](https://aclanthology.org/2022.tsar-1.8/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
94. [Is Encoder-Decoder Redundant for Neural Machine Translation?](https://aclanthology.org/2022.aacl-main.43/) *— 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)*
95. [Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text](https://aclanthology.org/2022.acl-long.501/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization](https://arxiv.org/abs/2210.01241) *— 2022 · arXiv:2210.01241*
97. [JADES: New Text Simplification Dataset in Japanese Targeted at Non-Native Speakers](https://aclanthology.org/2022.tsar-1.17/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
98. [JDDC 2.1: A Multimodal Chinese Dialogue Dataset with Joint Tasks of Query Rewriting, Response Generation, Discourse Parsing, and Summarization](https://aclanthology.org/2022.emnlp-main.825/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
99. [JHU IWSLT 2022 Dialect Speech Translation System Description](https://aclanthology.org/2022.iwslt-1.29/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
100. [JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus](https://aclanthology.org/2022.lrec-1.721/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*

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