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# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 8

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. [On Romanization for Model Transfer Between Scripts in Neural Machine Translation](https://aclanthology.org/2020.findings-emnlp.223/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
2. [On the differences between human translations](https://aclanthology.org/2020.eamt-1.39/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
3. [ParBLEU: Augmenting Metrics with Automatic Paraphrases for the WMT''20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.98/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
4. [Reevaluating Adversarial Examples in Natural Language](https://aclanthology.org/2020.findings-emnlp.341/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
5. [Results of the WMT20 Metrics Shared Task](https://aclanthology.org/2020.wmt-1.77/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
6. [Revisiting Round-trip Translation for Quality Estimation](https://aclanthology.org/2020.eamt-1.11/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
7. [Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation](https://aclanthology.org/2020.acl-main.359/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
8. [Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics](https://md.mova.elamur.ai/free/en/docs/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
9. [Terminology-Constrained Neural Machine Translation at SAP](https://aclanthology.org/2020.eamt-1.29/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
10. [TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP](https://arxiv.org/abs/2005.05909) *— 2020 · arXiv:2005.05909*
11. [The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research](https://aclanthology.org/2020.lrec-1.470/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
12. [The Nunavut Hansard Inuktitut–English Parallel Corpus 3.0 with Preliminary Machine Translation Results](https://aclanthology.org/2020.lrec-1.312/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
13. [Tigrinya Neural Machine Translation with Transfer Learning for Humanitarian Response](https://arxiv.org/abs/2003.11523) *— 2020 · arXiv:2003.11523*
14. [Tohoku-AIP-NTT at WMT 2020 News Translation Task](https://aclanthology.org/2020.wmt-1.12/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
15. [Towards Reasonably-Sized Character-Level Transformer NMT by Finetuning Subword Systems](https://aclanthology.org/2020.emnlp-main.203/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
16. [WebNLG 2020 Challenge: Semantic Template Mining for Generating References from RDF](https://aclanthology.org/2020.webnlg-1.21/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
17. [XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization](https://arxiv.org/abs/2003.11080) *— 2020 · arXiv:2003.11080*
18. [引入源端信息的机器译文自动评价方法研究(Research on Incorporating the Source Information to Automatic Evaluation of Machine Translation)](https://aclanthology.org/2020.ccl-1.38/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
19. [BERTScore: Evaluating Text Generation with BERT](https://arxiv.org/abs/1904.09675) *— 2019 · arXiv:1904.09675*
20. [Building English-to-Serbian Machine Translation System for IMDb Movie Reviews](https://aclanthology.org/W19-3715/) *— 2019 · Proceedings of the 7th Workshop on Balto-Slavic Natural Language Processing*
21. [Combining PBSMT and NMT Back-translated Data for Efficient NMT](https://aclanthology.org/R19-1107/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
22. [Designing the Business Conversation Corpus](https://aclanthology.org/D19-5204/) *— 2019 · Proceedings of the 6th Workshop on Asian Translation*
23. [Findings of the WMT 2019 Shared Tasks on Quality Estimation](https://aclanthology.org/W19-5401/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)*
24. [Interactive-Predictive Neural Machine Translation through Reinforcement and Imitation](https://aclanthology.org/W19-6610/) *— 2019 · Proceedings of Machine Translation Summit XVII: Research Track*
25. [Large-scale Machine Translation Evaluation of the iADAATPA Project](https://aclanthology.org/W19-6732/) *— 2019 · Proceedings of Machine Translation Summit XVII: Translator, Project and User Tracks*
26. [Neural Machine Translation for English–Kazakh with Morphological Segmentation and Synthetic Data](https://aclanthology.org/W19-5343/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
27. [On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models](https://aclanthology.org/N19-1314/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
28. [Promoting the Knowledge of Source Syntax in Transformer NMT Is Not Needed](https://arxiv.org/abs/1910.11218) *— 2019 · arXiv:1910.11218 · Computac\'ion y Sistemas, Vol. 23, No. 3, 2019, pp. 923-934*
29. [Putting Evaluation in Context: Contextual Embeddings Improve Machine Translation Evaluation](https://aclanthology.org/P19-1269/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
30. [Quality and Coverage: The AFRL Submission to the WMT19 Parallel Corpus Filtering for Low-Resource Conditions Task](https://aclanthology.org/W19-5436/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)*
31. [Revisit Automatic Error Detection for Wrong and Missing Translation – A Supervised Approach](https://aclanthology.org/D19-1087/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
32. [SAO WMT19 Test Suite: Machine Translation of Audit Reports](https://aclanthology.org/W19-5355/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
33. [Selecting Artificially-Generated Sentences for Fine-Tuning Neural Machine Translation](https://aclanthology.org/W19-8629/) *— 2019 · Proceedings of the 12th International Conference on Natural Language Generation*
34. [Taking MT Evaluation Metrics to Extremes: Beyond Correlation with Human Judgments](https://aclanthology.org/J19-3004/) *— 2019 · Computational Linguistics*
35. [VizSeq: a visual analysis toolkit for text generation tasks](https://aclanthology.org/D19-3043/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations*
36. [WordNet Gloss Translation for Under-resourced Languages using Multilingual Neural Machine Translation](https://aclanthology.org/W19-7101/) *— 2019 · Proceedings of the Second Workshop on Multilingualism at the Intersection of Knowledge Bases and Machine Translation*
37. [YiSi - a Unified Semantic MT Quality Evaluation and Estimation Metric for Languages with Different Levels of Available Resources](https://aclanthology.org/W19-5358/) *— 2019 · Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)*
38. [compare-mt: A Tool for Holistic Comparison of Language Generation Systems](https://aclanthology.org/N19-4007/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics (Demonstrations)*
39. [A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions](https://aclanthology.org/W18-1814/) *— 2018 · Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
40. [A Reinforcement Learning Approach to Interactive-Predictive Neural Machine Translation](https://aclanthology.org/2018.eamt-main.17/) *— 2018 · Proceedings of the 21st Annual Conference of the European Association for Machine Translation*
41. [A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch](https://aclanthology.org/L18-1600/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
42. [Alibaba's Neural Machine Translation Systems for WMT18](https://aclanthology.org/W18-6408/) *— 2018 · Proceedings of the Third Conference on Machine Translation: Shared Task Papers*
43. [An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation](https://aclanthology.org/W18-1810/) *— 2018 · Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
44. [Data Selection with Feature Decay Algorithms Using an Approximated Target Side](https://aclanthology.org/2018.iwslt-1.26/) *— 2018 · Proceedings of the 15th International Conference on Spoken Language Translation*
45. [Feature Decay Algorithms for Neural Machine Translation](https://aclanthology.org/2018.eamt-main.24/) *— 2018 · Proceedings of the 21st Annual Conference of the European Association for Machine Translation*
46. [Improving Machine Translation of English Relative Clauses with Automatic Text Simplification](https://aclanthology.org/W18-7006/) *— 2018 · Proceedings of the 1st Workshop on Automatic Text Adaptation (ATA)*
47. [Investigating Backtranslation in Neural Machine Translation](https://aclanthology.org/2018.eamt-main.25/) *— 2018 · Proceedings of the 21st Annual Conference of the European Association for Machine Translation*
48. [Learning from Chunk-based Feedback in Neural Machine Translation](https://aclanthology.org/P18-2052/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
49. [Neural Machine Translation with Adequacy-Oriented Learning](https://arxiv.org/abs/1811.08541) *— 2018 · arXiv:1811.08541*
50. [Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning](https://aclanthology.org/P18-1165/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [The ADAPT System Description for the IWSLT 2018 Basque to English Translation Task](https://aclanthology.org/2018.iwslt-1.11/) *— 2018 · Proceedings of the 15th International Conference on Spoken Language Translation*
52. [Training Tips for the Transformer Model](https://arxiv.org/abs/1804.00247) *— 2018 · arXiv:1804.00247 · The Prague Bulletin of Mathematical Linguistics 110, April 2018, pp. 43-70*
53. [Translating Short Segments with NMT: A Case Study in English-to-Hindi](https://aclanthology.org/2018.eamt-main.23/) *— 2018 · Proceedings of the 21st Annual Conference of the European Association for Machine Translation*
54. [A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators](https://aclanthology.org/2017.mtsummit-papers.10/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
55. [A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions](https://aclanthology.org/E17-1100/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
56. [CHARCUT: Human-Targeted Character-Based MT Evaluation with Loose Differences](https://aclanthology.org/2017.iwslt-1.20/) *— 2017 · Proceedings of the 14th International Conference on Spoken Language Translation*
57. [CUNI Experiments for WMT17 Metrics Task](https://aclanthology.org/W17-4769/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
58. [Confidence through Attention](https://aclanthology.org/2017.mtsummit-papers.23/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
59. [Doubly-Attentive Decoder for Multi-modal Neural Machine Translation](https://arxiv.org/abs/1702.01287) *— 2017 · arXiv:1702.01287*
60. [Exploring Hypotheses Spaces in Neural Machine Translation](https://aclanthology.org/2017.mtsummit-papers.22/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
61. [Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles](https://aclanthology.org/W17-2004/) *— 2017 · Proceedings of the Sixth Workshop on Vision and Language*
62. [Incorporating Global Visual Features into Attention-Based Neural Machine Translation](https://arxiv.org/abs/1701.06521) *— 2017 · arXiv:1701.06521*
63. [Predicting Translation Performance with Referential Translation Machines](https://aclanthology.org/W17-4759/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
64. [Results of the WMT17 Metrics Shared Task](https://aclanthology.org/W17-4755/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
65. [Results of the WMT17 Neural MT Training Task](https://aclanthology.org/W17-4757/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
66. [The QT21 Combined Machine Translation System for English to Latvian](https://aclanthology.org/W17-4734/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
67. [Word-Alignment-Based Segment-Level Machine Translation Evaluation using Word Embeddings](https://arxiv.org/abs/1704.00380) *— 2017 · arXiv:1704.00380*
68. [Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models](https://aclanthology.org/P16-1100/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [CharacTer: Translation Edit Rate on Character Level](https://md.mova.elamur.ai/free/en/docs/papers/wang-2016-character-translation-edit-rate-character/) *— our card · 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
70. [Expanding wordnets to new languages with multilingual sense disambiguation](https://aclanthology.org/C16-1010/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
71. [IRIS: English-Irish Machine Translation System](https://aclanthology.org/L16-1090/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
72. [Language Related Issues for Machine Translation between Closely Related South Slavic Languages](https://aclanthology.org/W16-4806/) *— 2016 · Proceedings of the Third Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial3)*
73. [Neural Machine Translation of Rare Words with Subword Units](https://aclanthology.org/P16-1162/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
74. [Potential and Limits of Using Post-edits as Reference Translations for MT Evaluation](https://aclanthology.org/W16-3410/) *— 2016 · Proceedings of the 19th Annual Conference of the European Association for Machine Translation*
75. [Results of the WMT16 Tuning Shared Task](https://aclanthology.org/W16-2303/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
76. [The AFRL-MITLL WMT16 News-Translation Task Systems](https://aclanthology.org/W16-2313/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
77. acharya-2025-ju-nlp-improving-low-resource
78. ahsan-2021-assessing-post-editing-effort-english
79. alali-2026-maastricht-university-amiya-adapting-llms
80. ali-2025-leveraging-loanword-constraints-improving-machine
81. almaoui-2025-arabizi-vs-llms-can-genie
82. anand-2024-empowering-low-resource-language-translation
83. anvekar-2026-tabrex-tabular-referenceless-explainable-evaluation
84. arakelyan-2023-exploring-distributional-shifts-large-language
85. arcan-2018-automatic-enrichment-terminological-resources-iate
86. asscher-2026-ethica-mt-introducing-framework-dataset
87. ataman-2018-compositional-source-word-representations-neural
88. aufrant-2022-is-nlp-ready-standardization
89. aulamo-2026-challenge-finding-robust-efficient-strategies
90. awobade-2026-afrivox-probing-multilingual-accent-robustness
91. ayasi-2025-krey-all-wmt-2025-creolemt
92. azani-2025-ontologyrag-q-resource-development-benchmarking
93. bajpai-2025-temporal-referential-consistency-do-llms
94. banar-2020-neural-machine-translation-artwork-titles
95. baziotis-2024-when-does-monolingual-data-help
96. berger-2025-learning-translate-ambiguous-terminology-preference
97. bhaskar-2024-yes-mt-s-submission-low
98. bhaskar-2025-progressive-perturbation-kto-enhanced-machine
99. blin-2022-does-partial-pretranslation-can-improve
100. boldt-2024-xferbench-data-driven-benchmark-emergent

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