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# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 6

1093 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/popovic-2015-chrf-character-n-gram-f/)

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1. [The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages](https://md.mova.elamur.ai/free/en/docs/papers/akerman-2023-ebible-corpus-data-model-benchmarks/) *— our card · 2023 · arXiv:2304.09919*
2. [Tokengram_F, a Fast and Accurate Token-based chrF++ Derivative](https://aclanthology.org/2023.wmt-1.59/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
3. [Tokenization and the Noiseless Channel](https://aclanthology.org/2023.acl-long.284/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Towards Example-Based NMT with Multi-Levenshtein Transformers](https://aclanthology.org/2023.emnlp-main.113/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
5. [Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Language](https://aclanthology.org/2023.icon-1.28/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
6. [Towards Making the Most of ChatGPT for Machine Translation](https://aclanthology.org/2023.findings-emnlp.373/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
7. [Toxicity in Multilingual Machine Translation at Scale](https://aclanthology.org/2023.findings-emnlp.642/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
8. [Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level](https://aclanthology.org/2023.wmt-1.96/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
9. [Unsupervised Feature Selection for Effective Parallel Corpus Filtering](https://aclanthology.org/2023.eamt-1.4/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
10. [Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs](https://aclanthology.org/2023.mmnlg-1.5/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
11. [What changes when you randomly choose BPE merge operations? Not much.](https://aclanthology.org/2023.insights-1.7/) *— 2023 · Proceedings of the Fourth Workshop on Insights from Negative Results in NLP*
12. [XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages](https://aclanthology.org/2023.findings-emnlp.125/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
13. [eBLEU: Unexpectedly Good Machine Translation Evaluation Using Simple Word Embeddings](https://aclanthology.org/2023.wmt-1.61/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
14. [f-Divergence Minimization for Sequence-Level Knowledge Distillation](https://aclanthology.org/2023.acl-long.605/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating](https://aclanthology.org/2022.starsem-1.14/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
16. [A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation](https://aclanthology.org/2022.naacl-main.223/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [A Parallel Corpus and Dictionary for Amis-Mandarin Translation](https://aclanthology.org/2022.nlp4dh-1.11/) *— 2022 · Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities*
18. [A Quality Estimation and Quality Evaluation Tool for the Translation Industry](https://aclanthology.org/2022.eamt-1.43/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
19. [A Study on Manual and Automatic Evaluation for Text Style Transfer: The Case of Detoxification](https://aclanthology.org/2022.humeval-1.8/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
20. [A large-scale computational study of content preservation measures for text style transfer and paraphrase generation](https://aclanthology.org/2022.acl-srw.23/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
21. [Active Evaluation: Efficient NLG Evaluation with Few Pairwise Comparisons](https://aclanthology.org/2022.acl-long.600/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation](https://aclanthology.org/2022.wmt-1.26/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
23. [All You Need is Source! A Study on Source-based Quality Estimation for Neural Machine Translation](https://aclanthology.org/2022.amta-upg.15/) *— 2022 · Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)*
24. [AmericasNLI: Evaluating Zero-shot Natural Language Understanding of Pretrained Multilingual Models in Truly Low-resource Languages](https://aclanthology.org/2022.acl-long.435/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [An Automatic Evaluation of the WMT22 General Machine Translation Task](https://arxiv.org/abs/2209.14172) *— 2022 · arXiv:2209.14172*
26. [Approaching English-Polish Machine Translation Quality Assessment with Neural-based Methods](https://arxiv.org/abs/2209.11016) *— 2022 · arXiv:2209.11016 · Proceedings of the PolEval 2021 Workshop, 2021, 73-78*
27. [Automated Evaluation Metric for Terminology Consistency in MT](https://aclanthology.org/2022.wmt-1.41/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
28. [Automatic Normalisation of Early Modern French](https://aclanthology.org/2022.lrec-1.358/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
29. [BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation](https://aclanthology.org/2022.emnlp-main.245/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
30. [BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine Translation](https://aclanthology.org/2022.insights-1.24/) *— 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP*
31. [BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages](https://aclanthology.org/2022.findings-acl.78/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
32. [Benchmarking Azerbaijani Neural Machine Translation](https://arxiv.org/abs/2207.14473) *— 2022 · arXiv:2207.14473*
33. [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://aclanthology.org/2022.naacl-main.259/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
34. [BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation](https://aclanthology.org/2022.findings-naacl.110/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
35. [Byte-based Multilingual NMT for Endangered Languages](https://aclanthology.org/2022.coling-1.388/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
36. [COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task](https://aclanthology.org/2022.wmt-1.52/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
37. [Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation?](https://aclanthology.org/2022.computel-1.16/) *— 2022 · Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages*
38. [Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?](https://aclanthology.org/2022.emnlp-main.330/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
39. [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)*
40. [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*
41. [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*
42. [Deep Learning for Text Style Transfer: A Survey](https://aclanthology.org/2022.cl-1.6/) *— 2022 · Computational Linguistics*
43. [Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes](https://aclanthology.org/2022.findings-emnlp.393/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
44. [DialSummEval: Revisiting Summarization Evaluation for Dialogues](https://aclanthology.org/2022.naacl-main.418/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
45. [Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space](https://aclanthology.org/2022.emnlp-main.827/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
46. [Disentangling Uncertainty in Machine Translation Evaluation](https://aclanthology.org/2022.emnlp-main.591/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
47. [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*
48. [ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages](https://arxiv.org/abs/2212.06742) *— 2022 · arXiv:2212.06742*
49. [Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level Metric](https://aclanthology.org/2022.wmt-1.6/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
50. [Enabling arbitrary translation objectives with Adaptive Tree Search](https://arxiv.org/abs/2202.11444) *— 2022 · arXiv:2202.11444*
51. [Evaluating Machine Translation in Cross-lingual E-Commerce Search](https://aclanthology.org/2022.amta-research.25/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
52. [Evaluating Pre-training Objectives for Low-Resource Translation into Morphologically Rich Languages](https://aclanthology.org/2022.lrec-1.527/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
53. [Exploring Robustness of Machine Translation Metrics: A Study of Twenty-Two Automatic Metrics in the WMT22 Metric Task](https://aclanthology.org/2022.wmt-1.46/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
54. [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*
55. [Few-shot fine-tuning SOTA summarization models for medical dialogues](https://aclanthology.org/2022.naacl-srw.32/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
56. [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*
57. [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)*
58. [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)*
59. [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)*
60. [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)*
61. [From COMET to COMES – Can Summary Evaluation Benefit from Translation Evaluation?](https://aclanthology.org/2022.eval4nlp-1.3/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
62. [Graph-to-Text Generation with Dynamic Structure Pruning](https://aclanthology.org/2022.coling-1.534/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
63. [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)*
64. [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)*
65. [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*
66. [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)*
67. [Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation](https://aclanthology.org/2022.acl-long.394/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
68. [Human Judgement as a Compass to Navigate Automatic Metrics for Formality Transfer](https://aclanthology.org/2022.humeval-1.9/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
69. [Human evaluation of web-crawled parallel corpora for machine translation](https://aclanthology.org/2022.humeval-1.4/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
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. [Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics](https://aclanthology.org/2022.findings-acl.14/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
73. [Investigating Failures of Automatic Translation in the Case of Unambiguous Gender](https://aclanthology.org/2022.acl-long.243/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
74. [Jojajovai: A Parallel Guarani-Spanish Corpus for MT Benchmarking](https://aclanthology.org/2022.lrec-1.226/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
75. [Knowledge Distillation for Sustainable Neural Machine Translation](https://aclanthology.org/2022.amta-upg.16/) *— 2022 · Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)*
76. [Local Structure Matters Most: Perturbation Study in NLU](https://aclanthology.org/2022.findings-acl.293/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
77. [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)*
78. [MaTESe: Machine Translation Evaluation as a Sequence Tagging Problem](https://aclanthology.org/2022.wmt-1.51/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
79. [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*
80. [Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens](https://aclanthology.org/2022.naacl-main.373/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
81. [Multi-Granularity Optimization for Non-Autoregressive Translation](https://aclanthology.org/2022.emnlp-main.339/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
82. [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*
83. [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*
84. [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*
85. [Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis](https://aclanthology.org/2022.findings-emnlp.489/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
86. [Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation](https://aclanthology.org/2022.coling-1.509/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
87. [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*
88. [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*
89. [Practical Attacks on Machine Translation using Paraphrase](https://aclanthology.org/2022.amta-research.17/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
90. [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*
91. [PreQuEL: Quality Estimation of Machine Translation Outputs in Advance](https://aclanthology.org/2022.emnlp-main.767/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
92. [Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task](https://aclanthology.org/2022.wmt-1.54/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
93. [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*
94. [Quantifying Synthesis and Fusion and their Impact on Machine Translation](https://aclanthology.org/2022.naacl-main.94/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
95. [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)*
96. [Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation](https://arxiv.org/abs/2212.07981) *— 2022 · arXiv:2212.07981*
97. [Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation](https://aclanthology.org/2022.acl-short.80/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
98. [Robust MT Evaluation with Sentence-level Multilingual Augmentation](https://aclanthology.org/2022.wmt-1.43/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
99. [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*
100. [Searching for COMETINHO: The Little Metric That Could](https://aclanthology.org/2022.eamt-1.9/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*

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