[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-22/)

[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 22

# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 22

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** · [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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-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. [Evaluating pragmatic abilities of image captioners on A3DS](https://aclanthology.org/2023.acl-short.110/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
2. [Evaluating the Efficacy of Length-Controllable Machine Translation](https://arxiv.org/abs/2305.02300) *— 2023 · arXiv:2305.02300*
3. [Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization](https://aclanthology.org/2023.findings-eacl.156/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
4. [Evaluation of Question Generation Needs More References](https://aclanthology.org/2023.findings-acl.396/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
5. [Execution-Based Evaluation for Open-Domain Code Generation](https://aclanthology.org/2023.findings-emnlp.89/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
6. [Execution-based Code Generation using Deep Reinforcement Learning](https://arxiv.org/abs/2301.13816) *— 2023 · arXiv:2301.13816 · Transactions on Machine Learning Research (TMLR), 2023*
7. [Explanation Regeneration via Information Bottleneck](https://aclanthology.org/2023.findings-acl.765/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
8. [Explicit Syntactic Guidance for Neural Text Generation](https://aclanthology.org/2023.acl-long.788/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.178/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
10. [Exploring Automatic Text Simplification of German Narrative Documents](https://aclanthology.org/2023.konvens-main.14/) *— 2023 · Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)*
11. [Exploring Better Text Image Translation with Multimodal Codebook](https://aclanthology.org/2023.acl-long.192/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [Exploring Context-Aware Evaluation Metrics for Machine Translation](https://aclanthology.org/2023.findings-emnlp.1021/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
13. [Exploring Continual Learning for Code Generation Models](https://aclanthology.org/2023.acl-short.68/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
14. [Exploring In-Context Learning for Knowledge Grounded Dialog Generation](https://aclanthology.org/2023.findings-emnlp.675/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
15. [Exploring Paracrawl for Document-level Neural Machine Translation](https://aclanthology.org/2023.eacl-main.94/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
16. [Exploring Segmentation Approaches for Neural Machine Translation of Code-Switched Egyptian Arabic-English Text](https://aclanthology.org/2023.eacl-main.256/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
17. [Exploring and Verbalizing Academic Ideas by Concept Co-occurrence](https://aclanthology.org/2023.acl-long.727/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Exploring the Capabilities of ChatGPT for Lexicographical Purposes: A Comparison with Oxford Advanced Learner''s Dictionary within the Microstructural Framework](https://elex.link/elex2023/proceedings-download/) *— 2023 · eLex 2023 (Brno), pp. 345–375*
19. [Exploring the State of the Art in Legal QA Systems](https://arxiv.org/abs/2304.06623) *— 2023 · arXiv:2304.06623 · J Big Data 10, 127 (2023)*
20. [Expository Text Generation: Imitate, Retrieve, Paraphrase](https://aclanthology.org/2023.emnlp-main.729/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
21. [Extrapolating Large Language Models to Non-English by Aligning Languages](https://arxiv.org/abs/2308.04948) *— 2023 · arXiv:2308.04948*
22. [Extrinsic Evaluation of Machine Translation Metrics](https://aclanthology.org/2023.acl-long.730/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering](https://aclanthology.org/2023.acl-long.581/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering](https://aclanthology.org/2023.emnlp-main.945/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
25. [FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://aclanthology.org/2023.iwslt-1.1/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
26. [FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation](https://aclanthology.org/2023.tacl-1.39/) *— 2023 · Transactions of the Association for Computational Linguistics*
27. [FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation](https://aclanthology.org/2023.findings-emnlp.672/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
28. [Faithful Low-Resource Data-to-Text Generation through Cycle Training](https://aclanthology.org/2023.acl-long.160/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints](https://aclanthology.org/2023.acl-long.28/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding](https://aclanthology.org/2023.emnlp-main.362/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
31. [FastKASSIM: A Fast Tree Kernel-Based Syntactic Similarity Metric](https://aclanthology.org/2023.eacl-main.17/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
32. [Fiction-Writing Mode: An Effective Control for Human-Machine Collaborative Writing](https://aclanthology.org/2023.eacl-main.128/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
33. [Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation](https://aclanthology.org/2023.emnlp-main.54/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
34. [Filtering Matters: Experiments in Filtering Training Sets for Machine Translation](https://aclanthology.org/2023.nodalida-1.58/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
35. [Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet](https://aclanthology.org/2023.wmt-1.1/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
36. [Findings of the VarDial Evaluation Campaign 2023](https://aclanthology.org/2023.vardial-1.25/) *— 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)*
37. [Findings of the WMT 2023 Shared Task on Automatic Post-Editing](https://aclanthology.org/2023.wmt-1.55/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
38. [Findings of the WMT 2023 Shared Task on Parallel Data Curation](https://aclanthology.org/2023.wmt-1.5/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
39. [Fine-tuning and aligning question answering models for complex information extraction tasks](https://arxiv.org/abs/2309.14805) *— 2023 · arXiv:2309.14805*
40. [Flesch or Fumble? Evaluating Readability Standard Alignment of Instruction-Tuned Language Models](https://aclanthology.org/2023.gem-1.18/) *— 2023 · Proceedings of the Third Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
41. [Fluency Matters! Controllable Style Transfer with Syntax Guidance](https://aclanthology.org/2023.wassa-1.15/) *— 2023 · Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis*
42. [Focus-aware Response Generation in Inquiry Conversation](https://aclanthology.org/2023.findings-acl.797/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
43. [Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding](https://aclanthology.org/2023.findings-acl.262/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
44. [Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance](https://aclanthology.org/2023.findings-acl.196/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
45. [FollowupQG: Towards information-seeking follow-up question generation](https://aclanthology.org/2023.ijcnlp-main.17/) *— 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery](https://arxiv.org/abs/2309.05203) *— 2023 · arXiv:2309.05203*
47. [From Chaos to Clarity: Claim Normalization to Empower Fact-Checking](https://aclanthology.org/2023.findings-emnlp.439/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
48. [G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment](https://aclanthology.org/2023.emnlp-main.153/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
49. [GATE: A Challenge Set for Gender-Ambiguous Translation Examples](https://arxiv.org/abs/2303.03975) *— 2023 · arXiv:2303.03975*
50. [GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4](https://aclanthology.org/2023.wmt-1.64/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
51. [GPTScore: Evaluate as You Desire](https://arxiv.org/abs/2302.04166) *— 2023 · arXiv:2302.04166*
52. [GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarization](https://aclanthology.org/2023.findings-acl.593/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
53. [GanLM: Encoder-Decoder Pre-training with an Auxiliary Discriminator](https://aclanthology.org/2023.acl-long.522/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors](https://aclanthology.org/2023.findings-eacl.27/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
55. [Gender Biases in Automatic Evaluation Metrics for Image Captioning](https://aclanthology.org/2023.emnlp-main.520/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
56. [Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges](https://aclanthology.org/2023.gitt-1.7/) *— 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies*
57. [Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference](https://aclanthology.org/2023.findings-acl.30/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
58. [Generating High-Precision Feedback for Programming Syntax Errors using Large Language Models](https://arxiv.org/abs/2302.04662) *— 2023 · arXiv:2302.04662*
59. [Generative Judge for Evaluating Alignment](https://arxiv.org/abs/2310.05470) *— 2023 · arXiv:2310.05470*
60. [Generative Knowledge Selection for Knowledge-Grounded Dialogues](https://aclanthology.org/2023.findings-eacl.155/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
61. [Gloss-Free End-to-End Sign Language Translation](https://aclanthology.org/2023.acl-long.722/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Good, but not always Fair: An Evaluation of Gender Bias for three commercial Machine Translation Systems](https://arxiv.org/abs/2306.05882) *— 2023 · arXiv:2306.05882 · Hermes Journal of Language and Communication in Business no 63 2023*
63. [Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.43/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
64. [Grammatical Error Correction through Round-Trip Machine Translation](https://aclanthology.org/2023.findings-eacl.165/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
65. [Guiding Zero-Shot Paraphrase Generation with Fine-Grained Control Tokens](https://aclanthology.org/2023.starsem-1.29/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
66. [HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation](https://aclanthology.org/2023.acl-long.702/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales](https://aclanthology.org/2023.inlg-main.21/) *— 2023 · Proceedings of the 16th International Natural Language Generation Conference*
68. [HW-TSC's Participation in the WMT 2023 Automatic Post Editing Shared Task](https://aclanthology.org/2023.wmt-1.85/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
69. [Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs](https://aclanthology.org/2023.emnlp-main.770/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
70. [Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond](https://arxiv.org/abs/2304.13712) *— 2023 · arXiv:2304.13712*
71. [Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements](https://aclanthology.org/2023.findings-emnlp.433/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
72. [Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning](https://aclanthology.org/2023.findings-acl.148/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
73. [Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus](https://aclanthology.org/2023.emnlp-main.873/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
74. [Hierarchical Catalogue Generation for Literature Review: A Benchmark](https://aclanthology.org/2023.findings-emnlp.453/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
75. [High-quality argumentative information in low resources approaches improve counter-narrative generation](https://aclanthology.org/2023.findings-emnlp.194/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
76. [HistAlign: Improving Context Dependency in Language Generation by Aligning with History](https://aclanthology.org/2023.emnlp-main.179/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
77. [Hospital Discharge Summarization Data Provenance](https://aclanthology.org/2023.bionlp-1.41/) *— 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks*
78. [How About Kind of Generating Hedges using End-to-End Neural Models?](https://aclanthology.org/2023.acl-long.50/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [How Ready are Pre-trained Abstractive Models and LLMs for Legal Case Judgement Summarization?](https://arxiv.org/abs/2306.01248) *— 2023 · arXiv:2306.01248*
80. [How Well Apply Simple MLP to Incomplete Utterance Rewriting?](https://aclanthology.org/2023.acl-short.134/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
81. [How do decoding algorithms distribute information in dialogue responses?](https://aclanthology.org/2023.findings-eacl.70/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
82. [How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics](https://aclanthology.org/2023.findings-acl.893/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
83. [Human-in-the-loop Machine Translation with Large Language Model](https://aclanthology.org/2023.mtsummit-users.8/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
84. [I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons](https://aclanthology.org/2023.acl-long.624/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [IC3: Image Captioning by Committee Consensus](https://aclanthology.org/2023.emnlp-main.556/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
86. [ICE-Score: Instructing Large Language Models to Evaluate Code](https://arxiv.org/abs/2304.14317) *— 2023 · arXiv:2304.14317*
87. [INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation](https://aclanthology.org/2023.acl-long.888/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://aclanthology.org/2023.emnlp-main.365/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
89. [ISLTranslate: Dataset for Translating Indian Sign Language](https://aclanthology.org/2023.findings-acl.665/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
90. [Importance of Synthesizing High-quality Data for Text-to-SQL Parsing](https://aclanthology.org/2023.findings-acl.86/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
91. [Improved Instruction Ordering in Recipe-Grounded Conversation](https://aclanthology.org/2023.acl-long.561/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
92. [Improved Pseudo Data for Machine Translation Quality Estimation with Constrained Beam Search](https://aclanthology.org/2023.emnlp-main.764/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
93. [Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering](https://aclanthology.org/2023.iwslt-1.40/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
94. [Improving Language Model Integration for Neural Machine Translation](https://aclanthology.org/2023.findings-acl.444/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
95. [Improving Long Context Document-Level Machine Translation](https://aclanthology.org/2023.codi-1.15/) *— 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)*
96. [Improving Medical Dialogue Generation with Abstract Meaning Representations](https://arxiv.org/abs/2309.10608) *— 2023 · arXiv:2309.10608*
97. [Improving Metrics for Speech Translation](https://aclanthology.org/2023.swisstext-1.3/) *— 2023 · Proceedings of the 8th edition of the Swiss Text Analytics Conference*
98. [Improving Multimodal Datasets with Image Captioning](https://arxiv.org/abs/2307.10350) *— 2023 · arXiv:2307.10350*
99. [Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning](https://aclanthology.org/2023.iwslt-1.13/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
100. [Improving Neural Machine Translation of Indigenous Languages with Multilingual Transfer Learning](https://aclanthology.org/2023.loresmt-1.6/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*

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** · [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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-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 21](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-21/)
- [next → Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 23](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/papineni-2002-bleu-method-automatic-evaluation-machine-23/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)