---
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/14/"
---
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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 14

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/) · … · [13](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/13/) · **14** · [15](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/15/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)

1. [Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation](https://aclanthology.org/2022.aacl-main.27/) *— 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)*
2. [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*
3. [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)*
4. [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*
5. [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*
6. [DUTNLP Machine Translation System for WMT22 General MT Task](https://aclanthology.org/2022.wmt-1.35/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
7. [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*
8. [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)*
9. [Data Cartography for Low-Resource Neural Machine Translation](https://aclanthology.org/2022.findings-emnlp.410/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
10. [Data Selection Curriculum for Neural Machine Translation](https://aclanthology.org/2022.findings-emnlp.113/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
11. [DialDoc 2022 Shared Task: Open-Book Document-grounded Dialogue Modeling](https://aclanthology.org/2022.dialdoc-1.18/) *— 2022 · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering*
12. [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)*
13. [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*
14. [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*
15. [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)*
16. [Does Sentence Segmentation Matter for Machine Translation?](https://aclanthology.org/2022.wmt-1.78/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
17. [Does Simultaneous Speech Translation need Simultaneous Models?](https://aclanthology.org/2022.findings-emnlp.11/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
18. [Domain Adaptation of Machine Translation with Crowdworkers](https://aclanthology.org/2022.emnlp-industry.62/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
19. [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*
20. [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)*
21. [Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation](https://aclanthology.org/2022.amta-research.12/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
22. [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)*
23. [ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages](https://arxiv.org/abs/2212.06742) *— 2022 · arXiv:2212.06742*
24. [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*
25. [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)*
26. [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)*
27. [Empirical Evaluation of Language Agnostic Filtering of Parallel Data for Low Resource Languages](https://aclanthology.org/2022.paclic-1.38/) *— 2022 · Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation*
28. [Enabling arbitrary translation objectives with Adaptive Tree Search](https://arxiv.org/abs/2202.11444) *— 2022 · arXiv:2202.11444*
29. [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*
30. [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*
31. [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*
32. [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)*
33. [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*
34. [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*
35. [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)*
36. [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*
37. [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*
38. [Exploring the Benefits and Limitations of Multilinguality for Non-autoregressive Machine Translation](https://aclanthology.org/2022.wmt-1.11/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
39. [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*
40. [FCGCL: Fine- and Coarse-Granularity Contrastive Learning for Speech Translation](https://aclanthology.org/2022.findings-emnlp.222/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
41. [Fast Nearest Neighbor Machine Translation](https://aclanthology.org/2022.findings-acl.47/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
42. [Few-Shot Regularization to Tackle Catastrophic Forgetting in Multilingual Machine Translation](https://aclanthology.org/2022.amta-research.14/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
43. [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*
44. [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*
45. [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)*
46. [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)*
47. [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)*
48. [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)*
49. [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)*
50. [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)*
51. [Findings of the WMT 2022 Shared Task on Translation Suggestion](https://aclanthology.org/2022.wmt-1.76/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
52. [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*
53. [Focus on FoCus: Is FoCus focused on Context, Knowledge and Persona?](https://aclanthology.org/2022.ccgpk-1.1/) *— 2022 · Proceedings of the 1st Workshop on Customized Chat Grounding Persona and Knowledge*
54. [Foiling Training-Time Attacks on Neural Machine Translation Systems](https://aclanthology.org/2022.findings-emnlp.435/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
55. [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*
56. [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*
57. [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)*
58. [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*
59. [Guiding Neural Machine Translation with Semantic Kernels](https://aclanthology.org/2022.findings-emnlp.541/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
60. [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)*
61. [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)*
62. [HW-TSC's Submission for the WMT22 Efficiency Task](https://aclanthology.org/2022.wmt-1.66/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
63. [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)*
64. [HeLo: Learning-Free Lookahead Decoding for Conversation Infilling](https://aclanthology.org/2022.findings-emnlp.367/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
65. [Hierarchical Recurrent Aggregative Generation for Few-Shot NLG](https://aclanthology.org/2022.findings-acl.170/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
66. [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)*
67. [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*
68. [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)*
69. [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*
70. [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)*
71. [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*
72. [Improving Jejueo-Korean Translation With Cross-Lingual Pretraining Using Japanese and Korean](https://aclanthology.org/2022.wat-1.3/) *— 2022 · Proceedings of the 9th Workshop on Asian Translation*
73. [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*
74. [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)*
75. [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*
76. [Improving Translation of Out Of Vocabulary Words using Bilingual Lexicon Induction in Low-Resource Machine Translation](https://aclanthology.org/2022.amta-research.11/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
77. [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*
78. [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*
79. [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*
80. [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*
81. [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*
82. [Inria-ALMAnaCH at WMT 2022: Does Transcription Help Cross-Script Machine Translation?](https://aclanthology.org/2022.wmt-1.15/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
83. [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)*
84. [Is NLP Ready for Standardization?](https://aclanthology.org/2022.findings-emnlp.202/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
85. [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*
86. [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)*
87. [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*
88. [Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES](https://aclanthology.org/2022.naacl-main.365/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
89. [JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMT](https://aclanthology.org/2022.emnlp-demos.6/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
90. [Joint Generation of Captions and Subtitles with Dual Decoding](https://aclanthology.org/2022.iwslt-1.7/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
91. [KYB General Machine Translation Systems for WMT22](https://aclanthology.org/2022.wmt-1.22/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
92. [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*
93. [Lack of Fluency is Hurting Your Translation Model](https://arxiv.org/abs/2205.11826) *— 2022 · arXiv:2205.11826*
94. [Lan-Bridge MT's Participation in the WMT 2022 General Translation Shared Task](https://aclanthology.org/2022.wmt-1.19/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
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. [Latent Group Dropout for Multilingual and Multidomain Machine Translation](https://aclanthology.org/2022.findings-naacl.189/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
98. [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)*
99. [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)*
100. [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)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/) · … · [13](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/13/) · **14** · [15](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/15/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)