---
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/10/"
---
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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 10

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/) · … · [9](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/9/) · **10** · [11](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/11/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)

1. [CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm](https://aclanthology.org/2023.wmt-1.8/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
2. [Can Big Models Help Diverse Languages? Investigating Large Pretrained Multilingual Models for Machine Translation of Indian Languages](https://aclanthology.org/2023.icon-1.66/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
3. [Can GPT-3 Perform Statutory Reasoning?](https://arxiv.org/abs/2302.06100) *— 2023 · arXiv:2302.06100*
4. [Can Large Language Models Transform Computational Social Science?](https://arxiv.org/abs/2305.03514) *— 2023 · arXiv:2305.03514*
5. [Causes and Cures for Interference in Multilingual Translation](https://aclanthology.org/2023.acl-long.883/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [Challenges in Context-Aware Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.943/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
7. [Challenges of Human vs Machine Translation of Emotion-Loaded Chinese Microblog Texts](https://aclanthology.org/2023.mtsummit-users.21/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
8. [Character-level NMT and language similarity](https://aclanthology.org/2023.mtsummit-research.30/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
9. [ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries](https://arxiv.org/abs/2304.13620) *— 2023 · arXiv:2304.13620*
10. [ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://aclanthology.org/2023.wmt-1.40/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
11. [Cheating to Identify Hard Problems for Neural Machine Translation](https://aclanthology.org/2023.findings-eacl.120/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
12. [Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix](https://aclanthology.org/2023.emnlp-main.851/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
13. [ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation](https://arxiv.org/abs/2305.14838) *— 2023 · arXiv:2305.14838*
14. [Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics](https://aclanthology.org/2023.wmt-1.62/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
15. [Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter](https://aclanthology.org/2023.findings-acl.327/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
16. [Comparing DAE-based and MASS-based UNMT: Robustness to Word-Order Divergence in English–\ensuremath>Indic Language Pairs](https://aclanthology.org/2023.icon-1.44/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
17. [Condensing Multilingual Knowledge with Lightweight Language-Specific Modules](https://aclanthology.org/2023.emnlp-main.97/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
18. [Considerations for meaningful sign language machine translation based on glosses](https://aclanthology.org/2023.acl-short.60/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
19. [Consistency is Key: On Data-Efficient Modality Transfer in Speech Translation](https://aclanthology.org/2023.findings-emnlp.905/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
20. [Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites](https://aclanthology.org/2023.acl-industry.59/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track)*
21. [Continual Learning for Multilingual Neural Machine Translation via Dual Importance-based Model Division](https://aclanthology.org/2023.emnlp-main.736/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
22. [Controlling Styles in Neural Machine Translation with Activation Prompt](https://aclanthology.org/2023.findings-acl.163/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
23. [DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages](https://aclanthology.org/2023.findings-emnlp.855/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
24. [DUB: Discrete Unit Back-translation for Speech Translation](https://aclanthology.org/2023.findings-acl.447/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
25. [Data Augmentation Techniques for Machine Translation of Code-Switched Texts: A Comparative Study](https://aclanthology.org/2023.findings-emnlp.11/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
26. [Data Augmentation with Diversified Rephrasing for Low-Resource Neural Machine Translation](https://aclanthology.org/2023.mtsummit-research.4/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
27. [DePA: Improving Non-autoregressive Translation with Dependency-Aware Decoder](https://aclanthology.org/2023.iwslt-1.47/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
28. [DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models](https://aclanthology.org/2023.emnlp-main.279/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
29. [Design of an Open-Source Architecture for Neural Machine Translation](https://aclanthology.org/2023.crowdmt-1.2/) *— 2023 · Proceedings of the 1st Workshop on Open Community-Driven Machine Translation*
30. [Developing State-Of-The-Art Massively Multilingual Machine Translation Systems for Related Languages](https://aclanthology.org/2023.ijcnlp-tutorials.6/) *— 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: Tutorial Abstract*
31. [Dictionary-based Phrase-level Prompting of Large Language Models for Machine Translation](https://arxiv.org/abs/2302.07856) *— 2023 · arXiv:2302.07856*
32. [DiffS2UT: A Semantic Preserving Diffusion Model for Textless Direct Speech-to-Speech Translation](https://aclanthology.org/2023.emnlp-main.709/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
33. [Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT2023](https://aclanthology.org/2023.iwslt-1.11/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
34. [Direct Speech Translation for Automatic Subtitling](https://aclanthology.org/2023.tacl-1.77/) *— 2023 · Transactions of the Association for Computational Linguistics*
35. [Disambiguated Lexically Constrained Neural Machine Translation](https://aclanthology.org/2023.findings-acl.673/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
36. [Distilling ChatGPT for Explainable Automated Student Answer Assessment](https://aclanthology.org/2023.findings-emnlp.399/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
37. [Distilling Reasoning Capabilities into Smaller Language Models](https://aclanthology.org/2023.findings-acl.441/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
38. [Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest](https://aclanthology.org/2023.acl-long.41/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Do Not Discard – Extracting Useful Fragments from Low-Quality Parallel Data to Improve Machine Translation](https://aclanthology.org/2023.mtsummit-coco4mt.1/) *— 2023 · Proceedings of the Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation*
40. [Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation](https://aclanthology.org/2023.eacl-main.33/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
41. [Document-Level Language Models for Machine Translation](https://aclanthology.org/2023.wmt-1.39/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
42. [Document-Level Machine Translation with Large Language Models](https://aclanthology.org/2023.emnlp-main.1036/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation?](https://aclanthology.org/2023.findings-eacl.166/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
44. [Domain Adaptation for Conversational Query Production with the RAG Model Feedback](https://aclanthology.org/2023.findings-emnlp.612/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
45. [ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit](https://aclanthology.org/2023.acl-demo.38/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
46. [Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation](https://aclanthology.org/2023.acl-long.434/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation](https://aclanthology.org/2023.eacl-main.166/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
48. [Empirical Analysis of Beam Search Curse and Search Errors with Model Errors in Neural Machine Translation](https://aclanthology.org/2023.eamt-1.10/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
49. [End-to-End Simultaneous Speech Translation with Differentiable Segmentation](https://aclanthology.org/2023.findings-acl.485/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
50. [End-to-End Single-Channel Speaker-Turn Aware Conversational Speech Translation](https://aclanthology.org/2023.emnlp-main.449/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
51. [Enhanced Retrieve-Edit-Rerank Framework with kNN-MT](https://aclanthology.org/2023.paclic-1.47/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
52. [Enhanced Simultaneous Machine Translation with Word-level Policies](https://aclanthology.org/2023.findings-emnlp.1045/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
53. [Enhancing Arabic Machine Translation for E-commerce Product Information: Data Quality Challenges and Innovative Selection Approaches](https://aclanthology.org/2023.arabicnlp-1.13/) *— 2023 · Proceedings of ArabicNLP 2023*
54. [Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training](https://aclanthology.org/2023.eamt-1.8/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
55. [Enriching Wayúunaiki-Spanish Neural Machine Translation with Linguistic Information](https://aclanthology.org/2023.americasnlp-1.9/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
56. [EvaHan2023: Overview of the First International Ancient Chinese Translation Bakeoff](https://aclanthology.org/2023.alt-1.1/) *— 2023 · Proceedings of ALT2023: Ancient Language Translation Workshop*
57. [Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology](https://aclanthology.org/2023.iwslt-1.2/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
58. [Evaluating a Multilingual Pre-trained Model for the Automatic Standard German captioning of Swiss German TV](https://aclanthology.org/2023.swisstext-1.2/) *— 2023 · Proceedings of the 8th edition of the Swiss Text Analytics Conference*
59. [Evaluating the Efficacy of Length-Controllable Machine Translation](https://arxiv.org/abs/2305.02300) *— 2023 · arXiv:2305.02300*
60. [Evaluating the Generalization Property of Prefix-based Methods for Data-to-text Generation](https://aclanthology.org/2023.jeptalnrecital-short.8/) *— 2023 · Actes de CORIA-TALN 2023. Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles (TALN), volume 2 : travaux de recherche originaux – articles courts*
61. [Exploration of multilingual prompts in document-grounded dialogue](https://aclanthology.org/2023.dialdoc-1.3/) *— 2023 · Proceedings of the Third DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering*
62. [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)*
63. [Exploring Multilingual Pretrained Machine Translation Models for Interactive Translation](https://aclanthology.org/2023.mtsummit-users.12/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
64. [Exploring Prompt Engineering with GPT Language Models for Document-Level Machine Translation: Insights and Findings](https://aclanthology.org/2023.wmt-1.15/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
65. [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*
66. [Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation](https://aclanthology.org/2023.acl-short.112/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
67. [Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses](https://aclanthology.org/2023.findings-emnlp.496/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
68. [External Knowledge Acquisition for End-to-End Document-Oriented Dialog Systems](https://aclanthology.org/2023.eacl-main.264/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
69. [Extrapolating Multilingual Understanding Models as Multilingual Generators](https://aclanthology.org/2023.findings-emnlp.1031/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
70. [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)*
71. [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*
72. [Faster Minimum Bayes Risk Decoding with Confidence-based Pruning](https://aclanthology.org/2023.emnlp-main.767/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
73. [Few Shot Rationale Generation using Self-Training with Dual Teachers](https://aclanthology.org/2023.findings-acl.297/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
74. [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)*
75. [Findings from the Bambara - French Machine Translation Competition (BFMT 2023)](https://aclanthology.org/2023.loresmt-1.9/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
76. [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*
77. [Findings of the AmericasNLP 2023 Shared Task on Machine Translation into Indigenous Languages](https://aclanthology.org/2023.americasnlp-1.23/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
78. [Findings of the CoCo4MT 2023 Shared Task on Corpus Construction for Machine Translation](https://aclanthology.org/2023.mtsummit-coco4mt.3/) *— 2023 · Proceedings of the Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation*
79. [Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs](https://aclanthology.org/2023.wmt-1.3/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
80. [Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies](https://aclanthology.org/2023.wmt-1.54/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
81. [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*
82. [First Attempt at Building Parallel Corpora for Machine Translation of Northeast India's Very Low-Resource Languages](https://aclanthology.org/2023.icon-1.49/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
83. [GATITOS: Using a New Multilingual Lexicon for Low-resource Machine Translation](https://aclanthology.org/2023.emnlp-main.26/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
84. [Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual Translation](https://aclanthology.org/2023.gitt-1.3/) *— 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies*
85. [Generating Character Lines in Four-Panel Manga](https://aclanthology.org/2023.paclic-1.34/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
86. [Generating Synthetic Speech from SpokenVocab for Speech Translation](https://aclanthology.org/2023.findings-eacl.147/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
87. [Generating User-Engaging News Headlines](https://aclanthology.org/2023.acl-long.183/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [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*
89. [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*
90. [Guiding Dialogue Agents to Complex Semantic Targets by Dynamically Completing Knowledge Graph](https://aclanthology.org/2023.findings-acl.407/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
91. [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*
92. [HW-TSC at IWSLT2023: Break the Quality Ceiling of Offline Track via Pre-Training and Domain Adaptation](https://aclanthology.org/2023.iwslt-1.14/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
93. [HW-TSC's Submissions to the WMT23 Discourse-Level Literary Translation Shared Task](https://aclanthology.org/2023.wmt-1.32/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
94. [HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language](https://aclanthology.org/2023.findings-acl.646/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
95. [HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation](https://aclanthology.org/2023.emnlp-main.42/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
96. [How Good is NLLB for Low-resource Languages? A Study on the Genoese Language](https://aclanthology.org/2023.clicit-1.61/) *— 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)*
97. [How To Build Competitive Multi-gender Speech Translation Models For Controlling Speaker Gender Translation](https://aclanthology.org/2023.clicit-1.26/) *— 2023 · Proceedings of the Ninth Italian Conference on Computational Linguistics (CLiC-it 2023)*
98. [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*
99. [Human Evaluation Reproduction Report for Data-to-text Generation with Macro Planning](https://aclanthology.org/2023.humeval-1.8/) *— 2023 · Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems*
100. [Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks](https://aclanthology.org/2023.acl-long.695/) *— 2023 · Proceedings of the 61st 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/) · … · [9](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/9/) · **10** · [11](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/11/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)