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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 9

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. [BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset](https://aclanthology.org/2022.aacl-short.33/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
2. [Benchmarking Azerbaijani Neural Machine Translation](https://arxiv.org/abs/2207.14473) *— 2022 · arXiv:2207.14473*
3. [Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources](https://aclanthology.org/2022.findings-emnlp.273/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
4. [Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation](https://aclanthology.org/2022.naacl-main.289/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
5. [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://aclanthology.org/2022.naacl-main.259/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
6. [Bilingual Synchronization: Restoring Translational Relationships with Editing Operations](https://aclanthology.org/2022.emnlp-main.548/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
7. [Block Diagram-to-Text: Understanding Block Diagram Images by Generating Natural Language Descriptors](https://aclanthology.org/2022.findings-aacl.15/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
8. [Breaking Down Multilingual Machine Translation](https://aclanthology.org/2022.findings-acl.218/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
9. [Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation](https://aclanthology.org/2022.acl-long.456/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations](https://aclanthology.org/2022.naacl-main.44/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
11. [CHIA: CHoosing Instances to Annotate for Machine Translation](https://aclanthology.org/2022.findings-emnlp.540/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
12. [CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation](https://aclanthology.org/2022.findings-emnlp.30/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
13. [CUNI-Bergamot Submission at WMT22 General Translation Task](https://aclanthology.org/2022.wmt-1.21/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
14. [CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022](https://aclanthology.org/2022.iwslt-1.24/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
15. [CVSS Corpus and Massively Multilingual Speech-to-Speech Translation](https://aclanthology.org/2022.lrec-1.720/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
16. [Challenges with Sign Language Datasets for Sign Language Recognition and Translation](https://aclanthology.org/2022.lrec-1.264/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
17. [Chart-to-Text: A Large-Scale Benchmark for Chart Summarization](https://aclanthology.org/2022.acl-long.277/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [Chunk-based Nearest Neighbor Machine Translation](https://aclanthology.org/2022.emnlp-main.284/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
19. [CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation](https://aclanthology.org/2022.acl-long.17/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [CoQAR: Question Rewriting on CoQA](https://aclanthology.org/2022.lrec-1.13/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
21. [Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?](https://aclanthology.org/2022.emnlp-main.330/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
22. [ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.574/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
23. [Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization](https://aclanthology.org/2022.coling-1.236/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
24. [Context-Aware Abbreviation Expansion Using Large Language Models](https://aclanthology.org/2022.naacl-main.91/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
25. [Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions](https://aclanthology.org/2022.emnlp-main.111/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
26. [Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model](https://aclanthology.org/2022.findings-emnlp.98/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
27. [Cross-modal Contrastive Learning for Speech Translation](https://aclanthology.org/2022.naacl-main.376/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
28. [DEEP: DEnoising Entity Pre-training for Neural Machine Translation](https://aclanthology.org/2022.acl-long.123/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [DEMETR: Diagnosing Evaluation Metrics for Translation](https://aclanthology.org/2022.emnlp-main.649/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
30. [DG2: Data Augmentation Through Document Grounded Dialogue Generation](https://aclanthology.org/2022.sigdial-1.21/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
31. [DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation](https://aclanthology.org/2022.findings-acl.141/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
32. [Data Augmentation for Inline Tag-Aware Neural Machine Translation](https://aclanthology.org/2022.wmt-1.81/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
33. [Data Selection Curriculum for Neural Machine Translation](https://aclanthology.org/2022.findings-emnlp.113/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
34. [Direct Speech-to-Speech Translation With Discrete Units](https://aclanthology.org/2022.acl-long.235/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation](https://aclanthology.org/2022.emnlp-main.354/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
36. [DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages](https://aclanthology.org/2022.emnlp-main.532/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
37. [Dodging the Data Bottleneck: Automatic Subtitling with Automatically Segmented ST Corpora](https://aclanthology.org/2022.aacl-short.59/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
38. [Does Sentence Segmentation Matter for Machine Translation?](https://aclanthology.org/2022.wmt-1.78/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
39. [Does Simultaneous Speech Translation need Simultaneous Models?](https://aclanthology.org/2022.findings-emnlp.11/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
40. [Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training](https://aclanthology.org/2022.findings-acl.49/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
41. [Domain-Specific Text Generation for Machine Translation](https://aclanthology.org/2022.amta-research.2/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
42. [EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation](https://aclanthology.org/2022.acl-long.560/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages](https://arxiv.org/abs/2212.06742) *— 2022 · arXiv:2212.06742*
44. [EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation](https://aclanthology.org/2022.emnlp-main.741/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
45. [Effective combination of pretrained models - KIT@IWSLT2022](https://aclanthology.org/2022.iwslt-1.14/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
46. [Efficient Cluster-Based $k$-Nearest-Neighbor Machine Translation](https://aclanthology.org/2022.acl-long.154/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Enabling arbitrary translation objectives with Adaptive Tree Search](https://arxiv.org/abs/2202.11444) *— 2022 · arXiv:2202.11444*
48. [End-to-End Speech Translation for Code Switched Speech](https://aclanthology.org/2022.findings-acl.113/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
49. [Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.720/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
50. [Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements](https://aclanthology.org/2022.emnlp-demos.13/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
51. [Evaluating Machine Translation in Cross-lingual E-Commerce Search](https://aclanthology.org/2022.amta-research.25/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
52. [Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages](https://aclanthology.org/2022.lrec-1.527/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
53. [Evaluating Subtitle Segmentation for End-to-end Generation Systems](https://aclanthology.org/2022.lrec-1.328/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
54. [Examining Large Pre-Trained Language Models for Machine Translation: What You Don''t Know about It](https://aclanthology.org/2022.wmt-1.84/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
55. [Experimental Standards for Deep Learning in Natural Language Processing Research](https://aclanthology.org/2022.findings-emnlp.196/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
56. [Exploring diversity in back translation for low-resource machine translation](https://aclanthology.org/2022.deeplo-1.8/) *— 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing*
57. [Extended Parallel Corpus for Amharic-English Machine Translation](https://aclanthology.org/2022.lrec-1.716/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
58. [Fast Nearest Neighbor Machine Translation](https://aclanthology.org/2022.findings-acl.47/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
59. [Few-shot Learning with Multilingual Generative Language Models](https://aclanthology.org/2022.emnlp-main.616/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
60. [Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks](https://aclanthology.org/2022.findings-emnlp.378/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
61. [Findings of the 2022 Conference on Machine Translation (WMT22)](https://aclanthology.org/2022.wmt-1.1/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
62. [Findings of the First WMT Shared Task on Sign Language Translation (WMT-SLT22)](https://aclanthology.org/2022.wmt-1.71/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
63. [Findings of the IWSLT 2022 Evaluation Campaign](https://aclanthology.org/2022.iwslt-1.10/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
64. [Findings of the WMT 2022 Biomedical Translation Shared Task: Monolingual Clinical Case Reports](https://aclanthology.org/2022.wmt-1.69/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
65. [Findings of the WMT 2022 Shared Task on Chat Translation](https://aclanthology.org/2022.wmt-1.70/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
66. [Findings of the WMT 2022 Shared Task on Efficient Translation](https://aclanthology.org/2022.wmt-1.4/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
67. [First the Worst: Finding Better Gender Translations During Beam Search](https://aclanthology.org/2022.findings-acl.301/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
68. [GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation](https://aclanthology.org/2022.emnlp-main.787/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
69. [GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers](https://aclanthology.org/2022.sigdial-1.28/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
70. [Gender Bias Mitigation for NMT Involving Genderless Languages](https://aclanthology.org/2022.wmt-1.10/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
71. [Grounded Dialogue Generation with Cross-encoding Re-ranker, Grounding Span Prediction, and Passage Dropout](https://aclanthology.org/2022.dialdoc-1.13/) *— 2022 · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering*
72. [HW-TSC Systems for WMT22 Very Low Resource Supervised MT Task](https://aclanthology.org/2022.wmt-1.107/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
73. [HW-TSC Translation Systems for the WMT22 Biomedical Translation Task](https://aclanthology.org/2022.wmt-1.88/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
74. [HW-TSC's Submissions to the WMT 2022 General Machine Translation Shared Task](https://aclanthology.org/2022.wmt-1.36/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
75. [Hierarchical Sketch Induction for Paraphrase Generation](https://aclanthology.org/2022.acl-long.178/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics](https://aclanthology.org/2022.tacl-1.47/) *— 2022 · Transactions of the Association for Computational Linguistics*
77. [How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?](https://aclanthology.org/2022.amta-research.8/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
78. [HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data](https://aclanthology.org/2022.findings-acl.41/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
79. [Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET](https://aclanthology.org/2022.aacl-main.83/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
80. [Improving Both Domain Robustness and Domain Adaptability in Machine Translation](https://aclanthology.org/2022.coling-1.461/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
81. [Improving Large-scale Paraphrase Acquisition and Generation](https://aclanthology.org/2022.emnlp-main.631/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
82. [Improving Machine Translation Formality Control with Weakly-Labelled Data Augmentation and Post Editing Strategies](https://aclanthology.org/2022.iwslt-1.32/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
83. [Improving Machine Translation with Phrase Pair Injection and Corpus Filtering](https://aclanthology.org/2022.emnlp-main.361/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
84. [Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mapping](https://aclanthology.org/2022.findings-emnlp.485/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
85. [IndicBART: A Pre-trained Model for Indic Natural Language Generation](https://aclanthology.org/2022.findings-acl.145/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
86. [IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages](https://aclanthology.org/2022.emnlp-main.360/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
87. [Information-Transport-based Policy for Simultaneous Translation](https://aclanthology.org/2022.emnlp-main.65/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
88. [Informative Language Representation Learning for Massively Multilingual Neural Machine Translation](https://aclanthology.org/2022.coling-1.458/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
89. [Integrating Vectorized Lexical Constraints for Neural Machine Translation](https://aclanthology.org/2022.acl-long.487/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization](https://arxiv.org/abs/2210.01241) *— 2022 · arXiv:2210.01241*
91. [JHU IWSLT 2022 Dialect Speech Translation System Description](https://aclanthology.org/2022.iwslt-1.29/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
92. [JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus](https://aclanthology.org/2022.lrec-1.721/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
93. [KreolMorisienMT: A Dataset for Mauritian Creole Machine Translation](https://aclanthology.org/2022.findings-aacl.3/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
94. [Lack of Fluency is Hurting Your Translation Model](https://arxiv.org/abs/2205.11826) *— 2022 · arXiv:2205.11826*
95. [Language Branch Gated Multilingual Neural Machine Translation](https://aclanthology.org/2022.coling-1.447/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
96. [Language Model Augmented Monotonic Attention for Simultaneous Translation](https://aclanthology.org/2022.naacl-main.3/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
97. [Learning Adaptive Segmentation Policy for End-to-End Simultaneous Translation](https://aclanthology.org/2022.acl-long.542/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
98. [Learning to Generalize to More: Continuous Semantic Augmentation for Neural Machine Translation](https://aclanthology.org/2022.acl-long.546/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [Leveraging Relaxed Equilibrium by Lazy Transition for Sequence Modeling](https://aclanthology.org/2022.acl-long.208/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [Linguistically-Motivated Yorùbá-English Machine Translation](https://aclanthology.org/2022.coling-1.449/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*

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