---
title: "Who cites A Call for Clarity in Reporting BLEU Scores —…"
description: "The papers of the Elamur Research library that cite «A Call for Clarity in Reporting BLEU Scores», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/16/"
---
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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 16

2105 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/) · … · [15](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/15/) · **16** · [17](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/17/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)

1. [SubER - A Metric for Automatic Evaluation of Subtitle Quality](https://aclanthology.org/2022.iwslt-1.1/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
2. [TANDO: A Corpus for Document-level Machine Translation](https://aclanthology.org/2022.lrec-1.324/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
3. [TSMind: Alibaba and Soochow University”s Submission to the WMT22 Translation Suggestion Task](https://aclanthology.org/2022.wmt-1.123/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
4. [Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation](https://aclanthology.org/2022.coling-1.395/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
5. [Textless Speech-to-Speech Translation on Real Data](https://aclanthology.org/2022.naacl-main.63/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
6. [The ARC-NKUA Submission for the English-Ukrainian General Machine Translation Shared Task at WMT22](https://aclanthology.org/2022.wmt-1.31/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
7. [The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses](https://aclanthology.org/2022.lrec-1.199/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
8. [The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation](https://aclanthology.org/2022.naacl-main.136/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
9. [The Ecological Footprint of Neural Machine Translation Systems](https://arxiv.org/abs/2202.02170) *— 2022 · arXiv:2202.02170*
10. [The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation](https://aclanthology.org/2022.tacl-1.30/) *— 2022*
11. [The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains](https://aclanthology.org/2022.emnlp-main.13/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
12. [The LTRC Hindi-Telugu Parallel Corpus](https://aclanthology.org/2022.lrec-1.365/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
13. [The Multilingual Microblog Translation Corpus: Improving and Evaluating Translation of User-Generated Text](https://aclanthology.org/2022.lrec-1.96/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
14. [The NiuTrans Machine Translation Systems for WMT22](https://aclanthology.org/2022.wmt-1.32/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
15. [The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study](https://aclanthology.org/2022.acl-long.286/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [The RoyalFlush System for the WMT 2022 Efficiency Task](https://aclanthology.org/2022.wmt-1.65/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
17. [The Shared Task on Gender Rewriting](https://aclanthology.org/2022.wanlp-1.10/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
18. [The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT)](https://aclanthology.org/2022.wmt-1.115/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
19. [Time-aware Prompting for Text Generation](https://aclanthology.org/2022.findings-emnlp.535/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
20. [Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models](https://aclanthology.org/2022.wmt-1.80/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
21. [TopKG: Target-oriented Dialog via Global Planning on Knowledge Graph](https://aclanthology.org/2022.coling-1.62/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
22. [Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training](https://aclanthology.org/2022.coling-1.468/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
23. [Towards Robust k-Nearest-Neighbor Machine Translation](https://aclanthology.org/2022.emnlp-main.367/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
24. [Training Language Models with Memory Augmentation](https://aclanthology.org/2022.emnlp-main.382/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
25. [Training Mixed-Domain Translation Models via Federated Learning](https://aclanthology.org/2022.naacl-main.186/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
26. [Transfer Learning and Masked Generation for Answer Verbalization](https://aclanthology.org/2022.suki-1.6/) *— 2022 · Proceedings of the Workshop on Structured and Unstructured Knowledge Integration (SUKI)*
27. [Translating Hanja Historical Documents to Contemporary Korean and English](https://aclanthology.org/2022.findings-emnlp.91/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
28. [Translating Spanish into Spanish Sign Language: Combining Rules and Data-driven Approaches](https://aclanthology.org/2022.loresmt-1.10/) *— 2022 · Proceedings of the Fifth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2022)*
29. [Translation Memories as Baselines for Low-Resource Machine Translation](https://aclanthology.org/2022.lrec-1.728/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
30. [Transparent Human Evaluation for Image Captioning](https://aclanthology.org/2022.naacl-main.254/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
31. [Twist Decoding: Diverse Generators Guide Each Other](https://aclanthology.org/2022.emnlp-main.326/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
32. [Unbabel-IST at the WMT Chat Translation Shared Task](https://aclanthology.org/2022.wmt-1.89/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
33. [Uncertainty Determines the Adequacy of the Mode and the Tractability of Decoding in Sequence-to-Sequence Models](https://aclanthology.org/2022.acl-long.591/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation](https://aclanthology.org/2022.acl-long.127/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Understanding Metrics for Paraphrasing](https://arxiv.org/abs/2205.13119) *— 2022 · arXiv:2205.13119*
36. [Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation](https://aclanthology.org/2022.acl-long.185/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [Unified NMT models for the Indian subcontinent, transcending script-barriers](https://aclanthology.org/2022.deeplo-1.23/) *— 2022 · Proceedings of the Third Workshop on Deep Learning for Low-Resource Natural Language Processing*
38. [Unified Speech-Text Pre-training for Speech Translation and Recognition](https://aclanthology.org/2022.acl-long.105/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://aclanthology.org/2022.emnlp-main.39/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
40. [Unifying the Convergences in Multilingual Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.458/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
41. [Unsupervised Machine Translation in Real-World Scenarios](https://aclanthology.org/2022.lrec-1.325/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
42. [User-Centric Gender Rewriting](https://aclanthology.org/2022.naacl-main.46/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
43. [Using Neural Machine Translation Methods for Sign Language Translation](https://aclanthology.org/2022.acl-srw.21/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
44. [Vacillating Human Correlation of SacreBLEU in Unprotected Languages](https://aclanthology.org/2022.humeval-1.1/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
45. [Vega-MT: The JD Explore Academy Machine Translation System for WMT22](https://aclanthology.org/2022.wmt-1.37/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
46. [Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation](https://aclanthology.org/2022.findings-emnlp.322/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
47. [What Do Compressed Multilingual Machine Translation Models Forget?](https://aclanthology.org/2022.findings-emnlp.317/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
48. [What Do You Get When You Cross Beam Search with Nucleus Sampling?](https://aclanthology.org/2022.insights-1.5/) *— 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP*
49. [When does Parameter-Efficient Transfer Learning Work for Machine Translation?](https://aclanthology.org/2022.emnlp-main.540/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
50. [Who Are We Talking About? Handling Person Names in Speech Translation](https://aclanthology.org/2022.iwslt-1.6/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
51. [Why don't people use character-level machine translation?](https://aclanthology.org/2022.findings-acl.194/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
52. [Why only Micro-F1? Class Weighting of Measures for Relation Classification](https://aclanthology.org/2022.nlppower-1.4/) *— 2022 · Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP*
53. [Word-level Perturbation Considering Word Length and Compositional Subwords](https://aclanthology.org/2022.findings-acl.258/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
54. [XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.466/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
55. [Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset](https://aclanthology.org/2022.acl-long.587/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [Zero-shot Disfluency Detection for Indian Languages](https://aclanthology.org/2022.coling-1.392/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
57. [m$^4$ Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter](https://aclanthology.org/2022.findings-emnlp.315/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
58. [nEYron: Implementation and Deployment of an MT System for a Large Audit & Consulting Corporation](https://aclanthology.org/2022.eamt-1.21/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
59. [ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation](https://aclanthology.org/2022.coling-1.446/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
60. [A Call for Clarity in Contemporary Authorship Attribution Evaluation](https://aclanthology.org/2021.ranlp-1.132/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
61. [A Large-Scale Study of Machine Translation in Turkic Languages](https://aclanthology.org/2021.emnlp-main.475/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
62. [A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations](https://aclanthology.org/2021.acl-long.511/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
63. [A Simple and Effective Positional Encoding for Transformers](https://aclanthology.org/2021.emnlp-main.236/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
64. [A Study of Automatic Metrics for the Evaluation of Natural Language Explanations](https://aclanthology.org/2021.eacl-main.202/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
65. [A Study of Morphological Robustness of Neural Machine Translation](https://aclanthology.org/2021.sigmorphon-1.6/) *— 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
66. [A3-108 Machine Translation System for LoResMT Shared Task @MT Summit 2021 Conference](https://aclanthology.org/2021.mtsummit-loresmt.12/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
67. [A3-108 Machine Translation System for Similar Language Translation Shared Task 2021](https://aclanthology.org/2021.wmt-1.33/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
68. [Adam Mickiewicz University's English-Hausa Submissions to the WMT 2021 News Translation Task](https://aclanthology.org/2021.wmt-1.14/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
69. [AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages](https://aclanthology.org/2021.emnlp-main.99/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
70. [An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation](https://aclanthology.org/2021.emnlp-main.664/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
71. [An Experiment on Speech-to-Text Translation Systems for Manipuri to English on Low Resource Setting](https://aclanthology.org/2021.icon-main.8/) *— 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)*
72. [An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages](https://aclanthology.org/2021.findings-emnlp.22/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
73. [AraGPT2: Pre-Trained Transformer for Arabic Language Generation](https://aclanthology.org/2021.wanlp-1.21/) *— 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop*
74. [Assessing Evaluation Metrics for Speech-to-Speech Translation](https://arxiv.org/abs/2110.13877) *— 2021 · arXiv:2110.13877*
75. [Attainable Text-to-Text Machine Translation vs. Translation: Issues Beyond Linguistic Processing](https://aclanthology.org/2021.mtsummit-research.18/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
76. [AugVic: Exploiting BiText Vicinity for Low-Resource NMT](https://aclanthology.org/2021.findings-acl.267/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
77. [Autocorrect in the Process of Translation –- Multi-task Learning Improves Dialogue Machine Translation](https://aclanthology.org/2021.naacl-industry.14/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers*
78. [Bandits Don”t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits](https://aclanthology.org/2021.findings-emnlp.274/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
79. [Better Chinese Sentence Segmentation with Reinforcement Learning](https://aclanthology.org/2021.findings-acl.25/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
80. [Between Flexibility and Consistency: Joint Generation of Captions and Subtitles](https://aclanthology.org/2021.iwslt-1.26/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
81. [Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference](https://aclanthology.org/2021.findings-emnlp.304/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
82. [Beyond Sentence-Level End-to-End Speech Translation: Context Helps](https://aclanthology.org/2021.acl-long.200/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
83. [Biomedical Data-to-Text Generation via Fine-Tuning Transformers](https://aclanthology.org/2021.inlg-1.40/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
84. [Building Goal-oriented Document-grounded Dialogue Systems](https://aclanthology.org/2021.dialdoc-1.14/) *— 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)*
85. [CAiRE in DialDoc21: Data Augmentation for Information Seeking Dialogue System](https://aclanthology.org/2021.dialdoc-1.6/) *— 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)*
86. [CTC-based Compression for Direct Speech Translation](https://aclanthology.org/2021.eacl-main.57/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
87. [CUNI Systems for WMT21: Terminology Translation Shared Task](https://aclanthology.org/2021.wmt-1.82/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
88. [CUNI systems for WMT21: Multilingual Low-Resource Translation for Indo-European Languages Shared Task](https://aclanthology.org/2021.wmt-1.42/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
89. [Can Cognate Prediction Be Modelled as a Low-Resource Machine Translation Task?](https://aclanthology.org/2021.findings-acl.75/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
90. [Capturing document context inside sentence-level neural machine translation models with self-training](https://aclanthology.org/2021.codi-main.14/) *— 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse*
91. [Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?](https://aclanthology.org/2021.acl-long.224/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
92. [Cascaded Span Extraction and Response Generation for Document-Grounded Dialog](https://aclanthology.org/2021.dialdoc-1.8/) *— 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)*
93. [CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences](https://aclanthology.org/2021.calcs-1.7/) *— 2021 · Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching*
94. [Competence-based Curriculum Learning for Multilingual Machine Translation](https://aclanthology.org/2021.findings-emnlp.212/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
95. [Context-aware Neural Machine Translation with Mini-batch Embedding](https://aclanthology.org/2021.eacl-main.214/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
96. [Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias](https://aclanthology.org/2021.emnlp-main.803/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
97. [Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information](https://aclanthology.org/2021.wmt-1.121/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
98. [Contrastive Learning for Many-to-many Multilingual Neural Machine Translation](https://aclanthology.org/2021.acl-long.21/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
99. [Controlling Machine Translation for Multiple Attributes with Additive Interventions](https://aclanthology.org/2021.emnlp-main.535/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
100. [Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation](https://aclanthology.org/2021.emnlp-main.132/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*

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