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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 15

2102 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/post-2018-call-clarity-reporting-bleu-scores/)

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1. [Using Context in Neural Machine Translation Training Objectives](https://aclanthology.org/2020.acl-main.693/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
2. [Variational Neural Machine Translation with Normalizing Flows](https://aclanthology.org/2020.acl-main.694/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
3. [When Does Unsupervised Machine Translation Work?](https://aclanthology.org/2020.wmt-1.68/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
4. [When and Why is Unsupervised Neural Machine Translation Useless?](https://aclanthology.org/2020.eamt-1.5/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
5. [Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers](https://aclanthology.org/2020.emnlp-main.74/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
6. [With Little Power Comes Great Responsibility](https://aclanthology.org/2020.emnlp-main.745/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
7. [A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation](https://aclanthology.org/W19-6620/) *— 2019 · Proceedings of Machine Translation Summit XVII: Research Track*
8. [APE at Scale and Its Implications on MT Evaluation Biases](https://aclanthology.org/W19-5204/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)*
9. [Abstract Text Summarization: A Low Resource Challenge](https://aclanthology.org/D19-1616/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
10. [An Effective Approach to Unsupervised Machine Translation](https://aclanthology.org/P19-1019/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
11. [An Exploration of Placeholding in Neural Machine Translation](https://aclanthology.org/W19-6618/) *— 2019 · Proceedings of Machine Translation Summit XVII: Research Track*
12. [Auto-Encoding Variational Neural Machine Translation](https://aclanthology.org/W19-4315/) *— 2019 · Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)*
13. [BERTScore: Evaluating Text Generation with BERT](https://arxiv.org/abs/1904.09675) *— 2019 · arXiv:1904.09675*
14. [BP-Transformer: Modelling Long-Range Context via Binary Partitioning](https://arxiv.org/abs/1911.04070) *— 2019 · arXiv:1911.04070*
15. [Best practices for the human evaluation of automatically generated text](https://aclanthology.org/W19-8643/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
16. [Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19](https://aclanthology.org/W19-5345/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
17. [Comparison between NMT and PBSMT Performance for Translating Noisy User-Generated Content](https://aclanthology.org/W19-6101/) *— 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics*
18. [Domain Adaptive Inference for Neural Machine Translation](https://aclanthology.org/P19-1022/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
19. [EASSE: Easier Automatic Sentence Simplification Evaluation](https://aclanthology.org/D19-3009/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations*
20. [Encoders Help You Disambiguate Word Senses in Neural Machine Translation](https://aclanthology.org/D19-1149/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
21. [Exploiting Monolingual Data at Scale for Neural Machine Translation](https://aclanthology.org/D19-1430/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
22. [Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer](https://arxiv.org/abs/1910.10683) *— 2019 · arXiv:1910.10683*
23. [GEval: Tool for Debugging NLP Datasets and Models](https://aclanthology.org/W19-4826/) *— 2019 · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP*
24. [Generating Diverse Translations with Sentence Codes](https://aclanthology.org/P19-1177/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
25. [Generating Text from Anonymised Structures](https://aclanthology.org/W19-8614/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
26. [Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting](https://aclanthology.org/N19-1090/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
27. [Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention](https://aclanthology.org/D19-1083/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
28. [Incremental Adaptation of NMT for Professional Post-editors: A User Study](https://aclanthology.org/W19-6737/) *— 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks*
29. [Integration of Dubbing Constraints into Machine Translation](https://aclanthology.org/W19-5210/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)*
30. [JHU 2019 Robustness Task System Description](https://aclanthology.org/W19-5366/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
31. [Joey NMT: A Minimalist NMT Toolkit for Novices](https://aclanthology.org/D19-3019/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations*
32. [Jointly Learning to Align and Translate with Transformer Models](https://aclanthology.org/D19-1453/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
33. [Look Harder: A Neural Machine Translation Model with Hard Attention](https://aclanthology.org/P19-1290/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
34. [Low-Resource Corpus Filtering Using Multilingual Sentence Embeddings](https://aclanthology.org/W19-5435/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)*
35. [Machine Translation of Restaurant Reviews: New Corpus for Domain Adaptation and Robustness](https://aclanthology.org/D19-5617/) *— 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation*
36. [Making Asynchronous Stochastic Gradient Descent Work for Transformers](https://aclanthology.org/D19-5608/) *— 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation*
37. [Mask-Predict: Parallel Decoding of Conditional Masked Language Models](https://aclanthology.org/D19-1633/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
38. [Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges](https://arxiv.org/abs/1907.05019) *— 2019 · arXiv:1907.05019*
39. [MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance](https://aclanthology.org/D19-1053/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
40. [Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task](https://aclanthology.org/W19-5361/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
41. [Neural Machine Translation with Reordering Embeddings](https://aclanthology.org/P19-1174/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
42. [Neural Text Generation from Rich Semantic Representations](https://aclanthology.org/N19-1235/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
43. [Neural Text Summarization: A Critical Evaluation](https://aclanthology.org/D19-1051/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
44. [On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models](https://aclanthology.org/N19-1314/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
45. [Parallel Corpus Filtering Based on Fuzzy String Matching](https://aclanthology.org/W19-5440/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)*
46. [Phonetic Normalization for Machine Translation of User Generated Content](https://aclanthology.org/D19-5553/) *— 2019 · Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)*
47. [Pre-trained language model representations for language generation](https://aclanthology.org/N19-1409/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
48. [Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges](https://aclanthology.org/W19-5302/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
49. [Revisiting Low-Resource Neural Machine Translation: A Case Study](https://aclanthology.org/P19-1021/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
50. [Robust Machine Translation with Domain Sensitive Pseudo-Sources: Baidu-OSU WMT19 MT Robustness Shared Task System Report](https://aclanthology.org/W19-5367/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
51. [Root Mean Square Layer Normalization](https://arxiv.org/abs/1910.07467) *— 2019 · arXiv:1910.07467*
52. [Self-Regulated Interactive Sequence-to-Sequence Learning](https://aclanthology.org/P19-1029/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
53. [Sentence-Level Agreement for Neural Machine Translation](https://aclanthology.org/P19-1296/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
54. [Simple and Effective Noisy Channel Modeling for Neural Machine Translation](https://aclanthology.org/D19-1571/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
55. [Syntactically Supervised Transformers for Faster Neural Machine Translation](https://aclanthology.org/P19-1122/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
56. [The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval](https://aclanthology.org/D19-1353/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
57. [The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English](https://aclanthology.org/D19-1632/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
58. [The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English](https://arxiv.org/abs/1902.01382) *— 2019 · arXiv:1902.01382*
59. [The LMU Munich Unsupervised Machine Translation System for WMT19](https://aclanthology.org/W19-5344/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
60. [The University of Edinburgh's Submissions to the WMT19 News Translation Task](https://aclanthology.org/W19-5304/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
61. [Tilde's Machine Translation Systems for WMT 2019](https://aclanthology.org/W19-5335/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
62. [UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles](https://aclanthology.org/W19-5421/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)*
63. [Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts](https://aclanthology.org/W19-5211/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers)*
64. [WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia](https://arxiv.org/abs/1907.05791) *— 2019 · arXiv:1907.05791*
65. [fairseq: A Fast, Extensible Toolkit for Sequence Modeling](https://aclanthology.org/N19-4009/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)*
66. [Alibaba's Neural Machine Translation Systems for WMT18](https://aclanthology.org/W18-6408/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
67. [An Analysis of Encoder Representations in Transformer-Based Machine Translation](https://aclanthology.org/W18-5431/) *— 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP*
68. [CUNI Submissions in WMT18](https://aclanthology.org/W18-6416/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
69. [Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation](https://aclanthology.org/N18-1119/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
70. [Learning to Segment Inputs for NMT Favors Character-Level Processing](https://aclanthology.org/2018.iwslt-1.25/) *— 2018 · Proceedings of the 15th International Conference on Spoken Language Translation*
71. [MTNT: A Testbed for Machine Translation of Noisy Text](https://aclanthology.org/D18-1050/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
72. [Revisiting Character-Based Neural Machine Translation with Capacity and Compression](https://aclanthology.org/D18-1461/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
73. [Scaling Neural Machine Translation](https://aclanthology.org/W18-6301/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Research Papers*
74. [Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures](https://aclanthology.org/D18-1458/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
75. abdullah-2026-i-m-sorry-but-i
76. abela-2024-tokenisation-machine-translation-does-matter
77. adilazuarda-2025-nusaaksara-multimodal-multilingual-benchmark-preserving
78. agrawal-2022-exploring-benefits-limitations-multilinguality-non
79. ahmadi-2025-literary-translations-synthetic-data-machine
80. ajayi-2024-cross-lingual-transfer-multilingual-learning
81. akkiraju-2025-iiith-but-system-iwslt-2025
82. alabi-2022-inria-almanach-wmt-2022-does
83. alabi-2024-exploring-inline-lexicon-injection-cross
84. alhafni-2022-shared-task-gender-rewriting
85. allemann-2025-optimizing-training-schedule-multilingual-nmt
86. almaoui-2025-arabizi-vs-llms-can-genie
87. alves-2022-unbabel-ist-wmt-chat-translation
88. amer-2024-simply-trainable-nearest-neighbour-machine
89. an-2023-max-isi-system-wmt23-discourse
90. anghel-2026-patient2paper-smm4h-heard-2026-retrieval
91. anilkumar-2026-limp-linguistically-informed-multi-strategy
92. appicharla-2023-case-study-context-encoding-multi
93. araabi-2023-joint-dropout-improving-generalizability-low
94. araabi-2024-entropy-distance-regularized-attention-improves
95. arthur-2021-multilingual-simultaneous-neural-machine-translation
96. arvan-2025-reprohum-0744-02-investigating-reproducibility
97. atrio-2021-iict-yverdon-system-wmt-2021
98. atrio-2023-simplified-training-pipeline-low-resource
99. aufrant-2022-is-nlp-ready-standardization
100. aulamo-2026-challenge-finding-robust-efficient-strategies

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