[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-43/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 43

# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 43

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/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-16/) · [17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-17/) · [18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-18/) · [19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-19/) · [20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-20/) · [21](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-21/) · [22](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-22/) · [23](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-23/) · [24](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-24/) · [25](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-25/) · [26](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-26/) · [27](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-27/) · [28](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-28/) · [29](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-29/) · [30](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-30/) · [31](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-31/) · [32](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-32/) · [33](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-33/) · [34](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-34/) · [35](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-35/) · [36](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-36/) · [37](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-37/) · [38](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-38/) · [39](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-39/) · [40](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-40/) · [41](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-41/) · [42](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-42/) · **43** · [44](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-44/) · [45](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-45/) · [46](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-46/) · [47](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-47/) · [48](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-48/) · [49](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-49/) · [50](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-50/) · [51](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-51/) · [52](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-52/) · [53](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-53/) · [54](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-54/) · [55](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-55/) · [56](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-56/) · [57](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-57/) · [58](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-58/) · [59](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-59/) · [60](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-60/) · [61](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-61/) · [62](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-62/) · [63](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-63/) · [64](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-64/) · [65](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-65/) · [66](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-66/) · [67](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-67/) · [68](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-68/) · [69](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-69/) · [70](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-70/) · [71](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-71/) · [72](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-72/) · [73](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-73/) · [74](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-74/) · [75](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-75/) · [76](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-76/) · [77](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-77/) · [78](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-78/) · [79](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-79/) · [80](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-80/) · [81](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-81/) · [82](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-82/) · [83](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-83/) · [84](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-84/) · [85](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-85/) · [86](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-86/) · [87](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-87/) · [88](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-88/) · [89](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-89/) · [90](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-90/) · [91](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-91/) · [92](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-92/) · [93](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-93/) · [94](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-94/) · [95](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-95/) · [96](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-96/) · [97](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-97/) · [98](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-98/) · [99](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-99/) · [100](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-100/) · [101](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-101/) · [102](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-102/) · [103](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-103/) · [104](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-104/) · [105](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-105/) · [106](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-106/) · [107](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-107/) · [108](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-108/) · [109](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-109/)

1. [Evaluation of Lifelong Learning Systems](https://aclanthology.org/2020.lrec-1.226/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
2. [Evaluation of Machine Translation Methods applied to Medical Terminologies](https://aclanthology.org/2020.louhi-1.7/) *— 2020 · Proceedings of the 11th International Workshop on Health Text Mining and Information Analysis*
3. [Evaluation of Text Generation: A Survey](https://arxiv.org/abs/2006.14799) *— 2020 · arXiv:2006.14799*
4. [Examining Citations of Natural Language Processing Literature](https://aclanthology.org/2020.acl-main.464/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
5. [Exemplar-Controllable Paraphrasing and Translation using Bitext](https://arxiv.org/abs/2010.05856) *— 2020 · arXiv:2010.05856*
6. [Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen](https://aclanthology.org/2020.acl-main.100/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
7. [Explainable Automated Fact-Checking: A Survey](https://aclanthology.org/2020.coling-main.474/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
8. [Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading](https://aclanthology.org/2020.acl-main.88/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
9. [Explicit Semantic Decomposition for Definition Generation](https://aclanthology.org/2020.acl-main.65/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
10. [Exploring Question-Specific Rewards for Generating Deep Questions](https://aclanthology.org/2020.coling-main.228/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
11. [Exploring Transformer Text Generation for Medical Dataset Augmentation](https://aclanthology.org/2020.lrec-1.578/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
12. [Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning](https://aclanthology.org/2020.findings-emnlp.41/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
13. [F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering](https://aclanthology.org/2020.emnlp-main.575/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
14. [FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN](https://aclanthology.org/2020.iwslt-1.1/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
15. [Facilitating the Communication of Politeness through Fine-Grained Paraphrasing](https://md.mova.elamur.ai/free/en/docs/papers/fu-2020-facilitating-communication-politeness-through-fine/) *— our card · 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
16. [Fact-based Text Editing](https://aclanthology.org/2020.acl-main.17/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
17. [Fairseq S2T: Fast Speech-to-Text Modeling with Fairseq](https://aclanthology.org/2020.aacl-demo.6/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations*
18. [Fast Interleaved Bidirectional Sequence Generation](https://aclanthology.org/2020.wmt-1.62/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
19. [Fast and Accurate Non-Projective Dependency Tree Linearization](https://md.mova.elamur.ai/free/en/docs/papers/yu-2020-fast-accurate-non-projective-dependency/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
20. [Filtering Back-Translated Data in Unsupervised Neural Machine Translation](https://aclanthology.org/2020.coling-main.383/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
21. [Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness](https://aclanthology.org/2020.emnlp-main.68/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
22. [Findings of the Fourth Workshop on Neural Generation and Translation](https://aclanthology.org/2020.ngt-1.1/) *— 2020 · Proceedings of the Fourth Workshop on Neural Generation and Translation*
23. [Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages](https://aclanthology.org/2020.loresmt-1.4/) *— 2020 · Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages*
24. [Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages](https://aclanthology.org/2020.wmt-1.76/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
25. [Findings of the WMT 2020 Shared Task on Automatic Post-Editing](https://aclanthology.org/2020.wmt-1.75/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
26. [Findings of the WMT 2020 Shared Task on Chat Translation](https://aclanthology.org/2020.wmt-1.3/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
27. [Findings of the WMT 2020 Shared Task on Machine Translation Robustness](https://aclanthology.org/2020.wmt-1.4/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
28. [Fine-Tuning MT systems for Robustness to Second-Language Speaker Variations](https://aclanthology.org/2020.wnut-1.20/) *— 2020 · Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)*
29. [Fine-grained linguistic evaluation for state-of-the-art Machine Translation](https://aclanthology.org/2020.wmt-1.38/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
30. [Fine-tuning Neural Machine Translation on Gender-Balanced Datasets](https://aclanthology.org/2020.gebnlp-1.3/) *— 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing*
31. [Fixed Encoder Self-Attention Patterns in Transformer-Based Machine Translation](https://aclanthology.org/2020.findings-emnlp.49/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
32. [Flexible Customization of a Single Neural Machine Translation System with Multi-dimensional Metadata Inputs](https://aclanthology.org/2020.amta-user.10/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)*
33. [Flight of the PEGASUS? Comparing Transformers on Few-shot and Zero-shot Multi-document Abstractive Summarization](https://aclanthology.org/2020.coling-main.494/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
34. [Formality Style Transfer with Shared Latent Space](https://aclanthology.org/2020.coling-main.203/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
35. [French Biomedical Text Simplification: When Small and Precise Helps](https://aclanthology.org/2020.coling-main.62/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
36. [From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer](https://aclanthology.org/2020.findings-emnlp.61/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
37. [Frustratingly Hard Evidence Retrieval for QA Over Books](https://aclanthology.org/2020.nuse-1.13/) *— 2020 · Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events*
38. [GPT-too: A Language-Model-First Approach for AMR-to-Text Generation](https://aclanthology.org/2020.acl-main.167/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
39. [GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems](https://aclanthology.org/2020.emnlp-main.742/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
40. [GRUEN for Evaluating Linguistic Quality of Generated Text](https://aclanthology.org/2020.findings-emnlp.9/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
41. [GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding](https://arxiv.org/abs/2006.16668) *— 2020 · arXiv:2006.16668*
42. [GenAug: Data Augmentation for Finetuning Text Generators](https://aclanthology.org/2020.deelio-1.4/) *— 2020 · Proceedings of Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures*
43. [GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation](https://aclanthology.org/2020.coling-main.217/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
44. [Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus](https://aclanthology.org/2020.acl-main.619/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
45. [Gender-Aware Reinflection using Linguistically Enhanced Neural Models](https://aclanthology.org/2020.gebnlp-1.12/) *— 2020 · Proceedings of the Second Workshop on Gender Bias in Natural Language Processing*
46. [Generalizable and Explainable Dialogue Generation via Explicit Action Learning](https://aclanthology.org/2020.findings-emnlp.355/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
47. [Generalized Entropy Regularization or: There''s Nothing Special about Label Smoothing](https://aclanthology.org/2020.acl-main.615/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
48. [Generalized Shortest-Paths Encoders for AMR-to-Text Generation](https://aclanthology.org/2020.coling-main.181/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
49. [Generating Accurate Electronic Health Assessment from Medical Graph](https://aclanthology.org/2020.findings-emnlp.336/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
50. [Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths](https://aclanthology.org/2020.aacl-main.28/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing*
51. [Generating Diverse Translation from Model Distribution with Dropout](https://aclanthology.org/2020.emnlp-main.82/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
52. [Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs](https://aclanthology.org/2020.acl-main.20/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
53. [Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze](https://aclanthology.org/2020.emnlp-main.377/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
54. [Generating Radiology Reports via Memory-driven Transformer](https://aclanthology.org/2020.emnlp-main.112/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
55. [Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation](https://aclanthology.org/2020.emnlp-main.524/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
56. [Getting To Know You: User Attribute Extraction from Dialogues](https://aclanthology.org/2020.lrec-1.73/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
57. [Gradations of Error Severity in Automatic Image Descriptions](https://aclanthology.org/2020.inlg-1.45/) *— 2020 · Proceedings of the 13th International Conference on Natural Language Generation*
58. [Gradient-guided Unsupervised Lexically Constrained Text Generation](https://aclanthology.org/2020.emnlp-main.701/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
59. [GraphDialog: Integrating Graph Knowledge into End-to-End Task-Oriented Dialogue Systems](https://aclanthology.org/2020.emnlp-main.147/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
60. [Grounded Conversation Generation as Guided Traverses in Commonsense Knowledge Graphs](https://aclanthology.org/2020.acl-main.184/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
61. [Grounding Conversations with Improvised Dialogues](https://aclanthology.org/2020.acl-main.218/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
62. [Group-wise Contrastive Learning for Neural Dialogue Generation](https://aclanthology.org/2020.findings-emnlp.70/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
63. [Guiding Variational Response Generator to Exploit Persona](https://aclanthology.org/2020.acl-main.7/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
64. [HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training](https://aclanthology.org/2020.emnlp-main.161/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
65. [HOLMS: Alternative Summary Evaluation with Large Language Models](https://aclanthology.org/2020.coling-main.498/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
66. [HW-TSC's Participation at WMT 2020 Automatic Post Editing Shared Task](https://aclanthology.org/2020.wmt-1.85/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
67. [HW-TSC's Participation at WMT 2020 Quality Estimation Shared Task](https://aclanthology.org/2020.wmt-1.123/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
68. [Handle with Care: A Case Study in Comparable Corpora Exploitation for Neural Machine Translation](https://aclanthology.org/2020.lrec-1.469/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
69. [Handling Anomalies of Synthetic Questions in Unsupervised Question Answering](https://aclanthology.org/2020.coling-main.306/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
70. [Harnessing Cross-lingual Features to Improve Cognate Detection for Low-resource Languages](https://aclanthology.org/2020.coling-main.119/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
71. [Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity](https://aclanthology.org/2020.coling-main.218/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
72. [Heterogeneous Graph Transformer for Graph-to-Sequence Learning](https://aclanthology.org/2020.acl-main.640/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
73. [Hindi-Marathi Cross Lingual Model](https://aclanthology.org/2020.wmt-1.45/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
74. [How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech](https://aclanthology.org/2020.iwslt-1.34/) *— 2020 · Proceedings of the 17th International Conference on Spoken Language Translation*
75. [How Positive Are You: Text Style Transfer using Adaptive Style Embedding](https://aclanthology.org/2020.coling-main.191/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
76. [How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue](https://aclanthology.org/2020.emnlp-main.230/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
77. [Human-Paraphrased References Improve Neural Machine Translation](https://aclanthology.org/2020.wmt-1.140/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
78. [INSET: Sentence Infilling with INter-SEntential Transformer](https://aclanthology.org/2020.acl-main.226/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
79. [INSPIRED: Toward Sociable Recommendation Dialog Systems](https://aclanthology.org/2020.emnlp-main.654/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
80. [Identifying Complaints from Product Reviews: A Case Study on Hindi](https://aclanthology.org/2020.icon-main.14/) *— 2020 · Proceedings of the 17th International Conference on Natural Language Processing (ICON)*
81. [If beam search is the answer, what was the question?](https://aclanthology.org/2020.emnlp-main.170/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
82. [Imitation Attacks and Defenses for Black-box Machine Translation Systems](https://aclanthology.org/2020.emnlp-main.446/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
83. [Impact of ASR on Alzheimer''s Disease Detection: All Errors are Equal, but Deletions are More Equal than Others](https://aclanthology.org/2020.wnut-1.21/) *— 2020 · Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020)*
84. [Improved Natural Language Generation via Loss Truncation](https://aclanthology.org/2020.acl-main.66/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
85. [Improved Speech Representations with Multi-Target Autoregressive Predictive Coding](https://aclanthology.org/2020.acl-main.213/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
86. [Improving Autoregressive NMT with Non-Autoregressive Model](https://aclanthology.org/2020.autosimtrans-1.4/) *— 2020 · Proceedings of the First Workshop on Automatic Simultaneous Translation*
87. [Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining](https://aclanthology.org/2020.tacl-1.52/) *— 2020 · Transactions of the Association for Computational Linguistics*
88. [Improving Disentangled Text Representation Learning with Information-Theoretic Guidance](https://aclanthology.org/2020.acl-main.673/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
89. [Improving Fluency of Non-Autoregressive Machine Translation](https://arxiv.org/abs/2004.03227) *— 2020 · arXiv:2004.03227*
90. [Improving Image Captioning Evaluation by Considering Inter References Variance](https://aclanthology.org/2020.acl-main.93/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
91. [Improving Low-Resource NMT through Relevance Based Linguistic Features Incorporation](https://aclanthology.org/2020.coling-main.376/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
92. [Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation](https://aclanthology.org/2020.acl-main.148/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
93. [Improving NMT Quality Using Terminology Injection](https://aclanthology.org/2020.lrec-1.593/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
94. [Improving Neural Machine Translation with Soft Template Prediction](https://aclanthology.org/2020.acl-main.531/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
95. [Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models](https://aclanthology.org/2020.wmt-1.110/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
96. [Improving Semantic Similarity Calculation of Japanese Text for MT Evaluation](https://aclanthology.org/2020.paclic-1.62/) *— 2020 · Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation*
97. [Improving Text-to-Text Pre-trained Models for the Graph-to-Text Task](https://aclanthology.org/2020.webnlg-1.11/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
98. [Improving Word Embedding Factorization for Compression Using Distilled Nonlinear Neural Decomposition](https://aclanthology.org/2020.findings-emnlp.250/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
99. [Incomplete Utterance Rewriting as Semantic Segmentation](https://aclanthology.org/2020.emnlp-main.227/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
100. [Incorporating Politeness across Languages in Customer Care Responses: Towards building a Multi-lingual Empathetic Dialogue Agent](https://aclanthology.org/2020.lrec-1.514/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*

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/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-16/) · [17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-17/) · [18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-18/) · [19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-19/) · [20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-20/) · [21](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-21/) · [22](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-22/) · [23](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-23/) · [24](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-24/) · [25](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-25/) · [26](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-26/) · [27](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-27/) · [28](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-28/) · [29](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-29/) · [30](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-30/) · [31](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-31/) · [32](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-32/) · [33](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-33/) · [34](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-34/) · [35](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-35/) · [36](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-36/) · [37](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-37/) · [38](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-38/) · [39](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-39/) · [40](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-40/) · [41](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-41/) · [42](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-42/) · **43** · [44](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-44/) · [45](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-45/) · [46](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-46/) · [47](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-47/) · [48](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-48/) · [49](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-49/) · [50](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-50/) · [51](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-51/) · [52](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-52/) · [53](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-53/) · [54](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-54/) · [55](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-55/) · [56](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-56/) · [57](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-57/) · [58](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-58/) · [59](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-59/) · [60](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-60/) · [61](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-61/) · [62](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-62/) · [63](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-63/) · [64](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-64/) · [65](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-65/) · [66](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-66/) · [67](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-67/) · [68](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-68/) · [69](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-69/) · [70](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-70/) · [71](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-71/) · [72](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-72/) · [73](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-73/) · [74](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-74/) · [75](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-75/) · [76](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-76/) · [77](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-77/) · [78](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-78/) · [79](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-79/) · [80](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-80/) · [81](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-81/) · [82](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-82/) · [83](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-83/) · [84](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-84/) · [85](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-85/) · [86](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-86/) · [87](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-87/) · [88](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-88/) · [89](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-89/) · [90](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-90/) · [91](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-91/) · [92](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-92/) · [93](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-93/) · [94](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-94/) · [95](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-95/) · [96](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-96/) · [97](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-97/) · [98](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-98/) · [99](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-99/) · [100](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-100/) · [101](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-101/) · [102](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-102/) · [103](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-103/) · [104](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-104/) · [105](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-105/) · [106](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-106/) · [107](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-107/) · [108](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-108/) · [109](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-109/)

- [← previous Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 42](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-42/)
- [next → Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 44](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-44/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)