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

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. [Low Resource Chat Translation: A Benchmark for Hindi–English Language Pair](https://aclanthology.org/2022.amta-research.7/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
2. [Low-Resource Neural Machine Translation: A Case Study of Cantonese](https://aclanthology.org/2022.vardial-1.4/) *— 2022 · Proceedings of the Ninth Workshop on NLP for Similar Languages, Varieties and Dialects*
3. [Low-resource Neural Machine Translation with Cross-modal Alignment](https://aclanthology.org/2022.emnlp-main.689/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
4. [Low-resource Neural Machine Translation: Benchmarking State-of-the-art Transformer for Wolof\ensuremath<-\ensuremath>French](https://aclanthology.org/2022.lrec-1.717/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
5. [MS-COMET: More and Better Human Judgements Improve Metric Performance](https://aclanthology.org/2022.wmt-1.47/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
6. [MSCTD: A Multimodal Sentiment Chat Translation Dataset](https://aclanthology.org/2022.acl-long.186/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators](https://aclanthology.org/2022.acl-long.424/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
8. [Machine Translation Between High-resource Languages in a Language Documentation Setting](https://aclanthology.org/2022.fieldmatters-1.3/) *— 2022 · Proceedings of the First Workshop on NLP applications to field linguistics*
9. [Machine Translation for Livonian: Catering to 20 Speakers](https://aclanthology.org/2022.acl-short.55/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
10. [Machine Translation from Standard German to Alemannic Dialects](https://aclanthology.org/2022.sigul-1.17/) *— 2022 · Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages*
11. [Machine translation impact in E-commerce multilingual search](https://aclanthology.org/2022.emnlp-industry.8/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
12. [Massive-scale Decoding for Text Generation using Lattices](https://aclanthology.org/2022.naacl-main.344/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
13. [Multi-Domain Adaptation in Neural Machine Translation with Dynamic Sampling Strategies](https://aclanthology.org/2022.eamt-1.4/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
14. [Multilingual Abstract Meaning Representation for Celtic Languages](https://aclanthology.org/2022.cltw-1.1/) *— 2022 · Proceedings of the 4th Celtic Language Technology Workshop within LREC2022*
15. [Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents](https://aclanthology.org/2022.acl-long.287/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [Multilingual Machine Translation with Hyper-Adapters](https://aclanthology.org/2022.emnlp-main.77/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
17. [Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation](https://aclanthology.org/2022.acl-long.282/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation](https://aclanthology.org/2022.coling-1.306/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
19. [NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures](https://aclanthology.org/2022.findings-emnlp.15/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
20. [NTREX-128 – News Test References for MT Evaluation of 128 Languages](https://aclanthology.org/2022.sumeval-1.4/) *— 2022 · Proceedings of the First Workshop on Scaling Up Multilingual Evaluation*
21. [Nearest Neighbor Knowledge Distillation for Neural Machine Translation](https://aclanthology.org/2022.naacl-main.406/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
22. [Neural Machine Translation with Phrase-Level Universal Visual Representations](https://aclanthology.org/2022.acl-long.390/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [No Language Left Behind: Scaling Human-Centered Machine Translation](https://arxiv.org/abs/2207.04672) *— 2022 · arXiv:2207.04672*
24. [Non-Autoregressive Machine Translation: It''s Not as Fast as it Seems](https://aclanthology.org/2022.naacl-main.129/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
25. [Non-Autoregressive Neural Machine Translation: A Call for Clarity](https://aclanthology.org/2022.emnlp-main.179/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
26. [On Decoding Strategies for Neural Text Generators](https://aclanthology.org/2022.tacl-1.58/) *— 2022 · Transactions of the Association for Computational Linguistics*
27. [On Synthetic Data for Back Translation](https://aclanthology.org/2022.naacl-main.32/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
28. [On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation](https://aclanthology.org/2022.coling-1.445/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
29. [On the Dynamics of Gender Learning in Speech Translation](https://aclanthology.org/2022.gebnlp-1.12/) *— 2022 · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)*
30. [On the Effectiveness of Automated Metrics for Text Generation Systems](https://aclanthology.org/2022.findings-emnlp.108/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
31. [On the Impact of Data Augmentation on Downstream Performance in Natural Language Processing](https://aclanthology.org/2022.insights-1.12/) *— 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP*
32. [On the Interaction of Regularization Factors in Low-resource Neural Machine Translation](https://aclanthology.org/2022.eamt-1.14/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
33. [On the Limitations of Reference-Free Evaluations of Generated Text](https://aclanthology.org/2022.emnlp-main.753/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
34. [Open-domain Video Commentary Generation](https://aclanthology.org/2022.emnlp-main.495/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
35. [Over-Generation Cannot Be Rewarded: Length-Adaptive Average Lagging for Simultaneous Speech Translation](https://aclanthology.org/2022.autosimtrans-1.2/) *— 2022 · Proceedings of the Third Workshop on Automatic Simultaneous Translation*
36. [Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation](https://aclanthology.org/2022.acl-long.143/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [Overview of the 9th Workshop on Asian Translation](https://aclanthology.org/2022.wat-1.1/) *— 2022 · Proceedings of the 9th Workshop on Asian Translation*
38. [PARADISE: Exploiting Parallel Data for Multilingual Sequence-to-Sequence Pretraining](https://aclanthology.org/2022.naacl-main.58/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
39. [ParaZh-22M: A Large-Scale Chinese Parabank via Machine Translation](https://aclanthology.org/2022.coling-1.341/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
40. [Paraphrasing via Ranking Many Candidates](https://aclanthology.org/2022.inlg-main.6/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
41. [Part Represents Whole: Improving the Evaluation of Machine Translation System Using Entropy Enhanced Metrics](https://aclanthology.org/2022.findings-aacl.28/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
42. [Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation?](https://aclanthology.org/2022.findings-acl.6/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
43. [Predicting Attention Sparsity in Transformers](https://aclanthology.org/2022.spnlp-1.7/) *— 2022 · Proceedings of the Sixth Workshop on Structured Prediction for NLP*
44. [Prediction Difference Regularization against Perturbation for Neural Machine Translation](https://aclanthology.org/2022.acl-long.528/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Prefix Embeddings for In-context Machine Translation](https://aclanthology.org/2022.amta-research.4/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
46. [Probing Multilingual Cognate Prediction Models](https://aclanthology.org/2022.findings-acl.299/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
47. [Prompt-Driven Neural Machine Translation](https://aclanthology.org/2022.findings-acl.203/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
48. [Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models](https://aclanthology.org/2022.emnlp-main.141/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
49. [Quality versus Quantity: Building Catalan-English MT Resources](https://aclanthology.org/2022.sigul-1.8/) *— 2022 · Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages*
50. [Quality-Aware Decoding for Neural Machine Translation](https://aclanthology.org/2022.naacl-main.100/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
51. [Quantified Reproducibility Assessment of NLP Results](https://aclanthology.org/2022.acl-long.2/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [Question Generation and Answering for exploring Digital Humanities collections](https://aclanthology.org/2022.lrec-1.486/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
53. [R2D2: Robust Data-to-Text with Replacement Detection](https://aclanthology.org/2022.emnlp-main.464/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
54. [R3 : Refined Retriever-Reader pipeline for Multidoc2dial](https://aclanthology.org/2022.dialdoc-1.17/) *— 2022 · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering*
55. [RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning](https://aclanthology.org/2022.emnlp-main.222/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
56. [Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation](https://aclanthology.org/2022.acl-long.172/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Reducing Disambiguation Biases in NMT by Leveraging Explicit Word Sense Information](https://aclanthology.org/2022.naacl-main.355/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
58. [Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text](https://arxiv.org/abs/2202.06935) *— 2022 · arXiv:2202.06935*
59. [Reproducibility Issues for BERT-based Evaluation Metrics](https://aclanthology.org/2022.emnlp-main.192/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
60. [Reproducing a Manual Evaluation of the Simplicity of Text Simplification System Outputs](https://aclanthology.org/2022.inlg-genchal.12/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation: Generation Challenges*
61. [Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust](https://md.mova.elamur.ai/free/en/docs/papers/freitag-2022-results-wmt22-metrics-shared-task/) *— our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
62. [SALTED: A Framework for SAlient Long-tail Translation Error Detection](https://aclanthology.org/2022.findings-emnlp.379/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
63. [SPORTSINTERVIEW: A Large-Scale Sports Interview Benchmark for Entity-centric Dialogues](https://aclanthology.org/2022.lrec-1.626/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
64. [STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation](https://aclanthology.org/2022.acl-long.486/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
65. [SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities](https://aclanthology.org/2022.acl-long.580/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation](https://aclanthology.org/2022.acl-short.27/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
67. [Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.754/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
68. [Scheduled Multi-task Learning for Neural Chat Translation](https://aclanthology.org/2022.acl-long.300/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [Separating Grains from the Chaff: Using Data Filtering to Improve Multilingual Translation for Low-Resourced African Languages](https://aclanthology.org/2022.wmt-1.98/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
70. [SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering](https://aclanthology.org/2022.emnlp-main.378/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
71. [Simple TICO-19: A Dataset for Joint Translation and Simplification of COVID-19 Texts](https://aclanthology.org/2022.lrec-1.331/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
72. [Specializing Multi-domain NMT via Penalizing Low Mutual Information](https://aclanthology.org/2022.emnlp-main.680/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
73. [Speech Resources in the Tamasheq Language](https://aclanthology.org/2022.lrec-1.222/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
74. [Strategies for Adapting Multilingual Pre-training for Domain-Specific Machine Translation](https://aclanthology.org/2022.amta-research.3/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
75. [Sub-Word Alignment is Still Useful: A Vest-Pocket Method for Enhancing Low-Resource Machine Translation](https://aclanthology.org/2022.acl-short.68/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
76. [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)*
77. [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*
78. [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*
79. [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)*
80. [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*
81. [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*
82. [The Ecological Footprint of Neural Machine Translation Systems](https://arxiv.org/abs/2202.02170) *— 2022 · arXiv:2202.02170*
83. [The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation](https://aclanthology.org/2022.tacl-1.30/) *— 2022*
84. [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*
85. [The LTRC Hindi-Telugu Parallel Corpus](https://aclanthology.org/2022.lrec-1.365/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
86. [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*
87. [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)*
88. [Time-aware Prompting for Text Generation](https://aclanthology.org/2022.findings-emnlp.535/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
89. [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)*
90. [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*
91. [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*
92. [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*
93. [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*
94. [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*
95. [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*
96. [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)*
97. [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*
98. [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*
99. [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*
100. [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)*

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