---
title: "Who cites chrF: character n-gram F-score for automatic MT…"
description: "The papers of the Elamur Research library that cite «chrF: character n-gram F-score for automatic MT evaluation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/10/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [chrF: character n-gram F-score for automatic MT…](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/) / cited by

# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 10

1094 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/popovic-2015-chrf-character-n-gram-f/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/) · … · [9](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/9/) · **10** · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)

1. [Unsupervised and Very-Low Resource Supervised Translation on German and Sorbian Variant Languages](https://aclanthology.org/2022.wmt-1.108/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
2. [Vacillating Human Correlation of SacreBLEU in Unprotected Languages](https://aclanthology.org/2022.humeval-1.1/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
3. [Varifocal Question Generation for Fact-checking](https://aclanthology.org/2022.emnlp-main.163/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
4. [What Do Compressed Multilingual Machine Translation Models Forget?](https://aclanthology.org/2022.findings-emnlp.317/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
5. [What Makes Data-to-Text Generation Hard for Pretrained Language Models?](https://aclanthology.org/2022.gem-1.50/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
6. [When does Parameter-Efficient Transfer Learning Work for Machine Translation?](https://aclanthology.org/2022.emnlp-main.540/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
7. [Why don't people use character-level machine translation?](https://aclanthology.org/2022.findings-acl.194/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
8. [gaHealth: An English–Irish Bilingual Corpus of Health Data](https://aclanthology.org/2022.lrec-1.727/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
9. [m$^4$ Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter](https://aclanthology.org/2022.findings-emnlp.315/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
10. [semiPQA: A Study on Product Question Answering over Semi-structured Data](https://aclanthology.org/2022.ecnlp-1.14/) *— 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)*
11. [A Large-Scale Study of Machine Translation in Turkic Languages](https://aclanthology.org/2021.emnlp-main.475/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
12. [A Tutorial on Evaluation Metrics used in Natural Language Generation](https://aclanthology.org/2021.naacl-tutorials.4/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials*
13. [AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages](https://aclanthology.org/2021.emnlp-main.99/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
14. [Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task](https://aclanthology.org/2021.wmt-1.111/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
15. [Assessing Evaluation Metrics for Speech-to-Speech Translation](https://arxiv.org/abs/2110.13877) *— 2021 · arXiv:2110.13877*
16. [Assessing Post-editing Effort in the English-Hindi Direction](https://aclanthology.org/2021.icon-main.7/) *— 2021 · Proceedings of the 18th International Conference on Natural Language Processing (ICON)*
17. [Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021](https://aclanthology.org/2021.mtsummit-loresmt.14/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
18. [Automatic Text Evaluation through the Lens of Wasserstein Barycenters](https://aclanthology.org/2021.emnlp-main.817/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
19. [BARTScore: Evaluating Generated Text as Text Generation](https://arxiv.org/abs/2106.11520) *— 2021 · arXiv:2106.11520*
20. [Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation](https://aclanthology.org/2021.emnlp-main.599/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
21. [Detecting Post-Edited References and Their Effect on Human Evaluation](https://aclanthology.org/2021.humeval-1.13/) *— 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)*
22. [Difficulty-Aware Machine Translation Evaluation](https://aclanthology.org/2021.acl-short.5/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
23. [Domain-specific MT for Low-resource Languages: The case of Bambara-French](https://arxiv.org/abs/2104.00041) *— 2021 · arXiv:2104.00041*
24. [Efficient Inference for Multilingual Neural Machine Translation](https://aclanthology.org/2021.emnlp-main.674/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
25. [Entity-Based Semantic Adequacy for Data-to-Text Generation](https://aclanthology.org/2021.findings-emnlp.132/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
26. [Evaluating Multiway Multilingual NMT in the Turkic Languages](https://aclanthology.org/2021.wmt-1.60/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
27. [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.research.elamur.ai/free/en/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) *— our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
28. [Evaluating the Morphosyntactic Well-formedness of Generated Texts](https://aclanthology.org/2021.emnlp-main.570/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
29. [EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation](https://arxiv.org/abs/2111.00276) *— 2021 · arXiv:2111.00276*
30. [Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation](https://md.research.elamur.ai/free/en/papers/freitag-2021-experts-errors-context-large-scale/) *— our card · 2021*
31. [Extremely low-resource machine translation for closely related languages](https://aclanthology.org/2021.nodalida-main.5/) *— 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)*
32. [Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models](https://aclanthology.org/2021.findings-acl.136/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
33. [Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas](https://aclanthology.org/2021.americasnlp-1.23/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
34. [Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages](https://aclanthology.org/2021.mtsummit-loresmt.11/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
35. [Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT](https://aclanthology.org/2021.wmt-1.72/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
36. [Fine Grained Human Evaluation for English-to-Chinese Machine Translation: A Case Study on Scientific Text](https://arxiv.org/abs/2110.14766) *— 2021 · arXiv:2110.14766*
37. [Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation](https://aclanthology.org/2021.acl-long.10/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
38. [Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation](https://aclanthology.org/2021.naacl-main.16/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
39. [Investigating Pretrained Language Models for Graph-to-Text Generation](https://aclanthology.org/2021.nlp4convai-1.20/) *— 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI*
40. [Just Ask! Evaluating Machine Translation by Asking and Answering Questions](https://aclanthology.org/2021.wmt-1.58/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
41. [Like Chalk and Cheese? On the Effects of Translationese in MT Training](https://aclanthology.org/2021.mtsummit-research.9/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
42. [Low-Resource Machine Translation Using Cross-Lingual Language Model Pretraining](https://aclanthology.org/2021.americasnlp-1.26/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
43. [MMTAfrica: Multilingual Machine Translation for African Languages](https://aclanthology.org/2021.wmt-1.48/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
44. [MTEQA at WMT21 Metrics Shared Task](https://aclanthology.org/2021.wmt-1.110/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
45. [Machine Translation in the Covid domain: an English-Irish case study for LoResMT 2021](https://aclanthology.org/2021.mtsummit-loresmt.15/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
46. [Machine Translation of Low-Resource Indo-European Languages](https://aclanthology.org/2021.wmt-1.41/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
47. [Macro-Average: Rare Types Are Important Too](https://aclanthology.org/2021.naacl-main.90/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
48. [Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters](https://aclanthology.org/2021.wmt-1.64/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
49. [Multilingual Unsupervised Neural Machine Translation with Denoising Adapters](https://aclanthology.org/2021.emnlp-main.533/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
50. [NRC-CNRC Machine Translation Systems for the 2021 AmericasNLP Shared Task](https://aclanthology.org/2021.americasnlp-1.25/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
51. [NRC-CNRC Systems for Upper Sorbian-German and Lower Sorbian-German Machine Translation 2021](https://aclanthology.org/2021.wmt-1.107/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
52. [Neural Machine Translation Quality and Post-Editing Performance](https://aclanthology.org/2021.emnlp-main.801/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
53. [On Machine Translation of User Reviews](https://aclanthology.org/2021.ranlp-1.124/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
54. [On the Development of Customized Neural Machine Translation Models](https://aclanthology.org/2021.clicit-1.14/) *— 2021 · Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021)*
55. [On the Usability of Transformers-based Models for a French Question-Answering Task](https://aclanthology.org/2021.ranlp-1.29/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
56. [Optimal Word Segmentation for Neural Machine Translation into Dravidian Languages](https://aclanthology.org/2021.wat-1.21/) *— 2021 · Proceedings of the 8th Workshop on Asian Translation (WAT2021)*
57. [Peru is Multilingual, Its Machine Translation Should Be Too?](https://aclanthology.org/2021.americasnlp-1.22/) *— 2021 · Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas*
58. [Pruning Neural Machine Translation for Speed Using Group Lasso](https://aclanthology.org/2021.wmt-1.116/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
59. [Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain](https://aclanthology.org/2021.wmt-1.73/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
60. [RoBLEURT Submission for WMT2021 Metrics Task](https://aclanthology.org/2021.wmt-1.114/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
61. [Sampling and Filtering of Neural Machine Translation Distillation Data](https://aclanthology.org/2021.naacl-srw.1/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop*
62. [Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers](https://aclanthology.org/2021.acl-long.566/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
63. [Smelting Gold and Silver for Improved Multilingual AMR-to-Text Generation](https://aclanthology.org/2021.emnlp-main.57/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
64. [Structural Adapters in Pretrained Language Models for AMR-to-Text Generation](https://aclanthology.org/2021.emnlp-main.351/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
65. [Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages](https://aclanthology.org/2021.mtsummit-loresmt.6/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
66. [SummEval: Re-evaluating Summarization Evaluation](https://aclanthology.org/2021.tacl-1.24/) *— 2021*
67. [Textual Representations for Crosslingual Information Retrieval](https://aclanthology.org/2021.ecnlp-1.14/) *— 2021 · Proceedings of the 4th Workshop on e-Commerce and NLP*
68. [The Curious Case of Hallucinations in Neural Machine Translation](https://aclanthology.org/2021.naacl-main.92/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
69. [The Effect of Domain and Diacritics in Yoruba–English Neural Machine Translation](https://aclanthology.org/2021.mtsummit-research.6/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
70. [The Effectiveness of Morphology-aware Segmentation in Low-Resource Neural Machine Translation](https://aclanthology.org/2021.eacl-srw.22/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
71. [The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results](https://aclanthology.org/2021.eval4nlp-1.17/) *— 2021 · Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems*
72. [The LMU Munich System for the WMT 2021 Large-Scale Multilingual Machine Translation Shared Task](https://aclanthology.org/2021.wmt-1.49/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
73. [The LMU Munich Systems for the WMT21 Unsupervised and Very Low-Resource Translation Task](https://aclanthology.org/2021.wmt-1.105/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
74. [The UCF Systems for the LoResMT 2021 Machine Translation Shared Task](https://aclanthology.org/2021.mtsummit-loresmt.13/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
75. [To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation](https://aclanthology.org/2021.wmt-1.57/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
76. [Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR](https://md.research.elamur.ai/free/en/papers/opitz-2021-decomposable-metric-explainable-evaluation-text/) *— our card · 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
77. [Towards a Low-Resource Neural Machine Translation for Indigenous Languages in Canada](https://aclanthology.org/2021.tal-3.3/) *— 2021*
78. [Transformers for Low-Resource Languages: Is Féidir Linn!](https://aclanthology.org/2021.mtsummit-research.5/) *— 2021 · Proceedings of Machine Translation Summit XVIII: Research Track*
79. [Uncertainty-Aware Machine Translation Evaluation](https://aclanthology.org/2021.findings-emnlp.330/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
80. [Understanding the Impact of UGC Specificities on Translation Quality](https://aclanthology.org/2021.wnut-1.22/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
81. [Visualizing Cross-Lingual Discourse Relations in Multilingual TED Corpora](https://aclanthology.org/2021.codi-main.16/) *— 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse*
82. [When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation](https://aclanthology.org/2021.acl-short.69/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
83. [融合XLM词语表示的神经机器译文自动评价方法(Neural Automatic Evaluation of Machine Translation Method Combined with XLM Word Representation)](https://aclanthology.org/2021.ccl-1.2/) *— 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics*
84. [A General Benchmarking Framework for Text Generation](https://aclanthology.org/2020.webnlg-1.3/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
85. [A Resource for Computational Experiments on Mapudungun](https://aclanthology.org/2020.lrec-1.350/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
86. [A human evaluation of English-Irish statistical and neural machine translation](https://aclanthology.org/2020.eamt-1.46/) *— 2020 · Proceedings of the 22nd Annual Conference of the European Association for Machine Translation*
87. [An Error-based Investigation of Statistical and Neural Machine Translation Performance on Hindi-to-Tamil and English-to-Tamil](https://aclanthology.org/2020.wat-1.22/) *— 2020 · Proceedings of the 7th Workshop on Asian Translation*
88. [Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios](https://arxiv.org/abs/2009.13398) *— 2020 · arXiv:2009.13398*
89. [Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing](https://aclanthology.org/2020.emnlp-main.8/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
90. [BLEU might be Guilty but References are not Innocent](https://aclanthology.org/2020.emnlp-main.5/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
91. [Can Automatic Post-Editing Improve NMT?](https://aclanthology.org/2020.emnlp-main.217/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
92. [Character-level Transformer-based Neural Machine Translation](https://arxiv.org/abs/2005.11239) *— 2020 · arXiv:2005.11239*
93. [Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers](https://aclanthology.org/2020.webnlg-1.9/) *— 2020 · Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+)*
94. [Detecting Non-literal Translations by Fine-tuning Cross-lingual Pre-trained Language Models](https://aclanthology.org/2020.coling-main.522/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
95. [Fairseq S2T: Fast Speech-to-Text Modeling with Fairseq](https://aclanthology.org/2020.aacl-demo.6/) *— 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing: System Demonstrations*
96. [Findings of the WMT 2020 Biomedical Translation Shared Task: Basque, Italian and Russian as New Additional Languages](https://aclanthology.org/2020.wmt-1.76/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*
97. [Heterogeneous Graph Transformer for Graph-to-Sequence Learning](https://aclanthology.org/2020.acl-main.640/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
98. [It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations](https://aclanthology.org/2020.acl-main.263/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
99. [MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics](https://aclanthology.org/2020.emnlp-main.528/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
100. [Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training](https://aclanthology.org/2020.wmt-1.29/) *— 2020 · Proceedings of the Fifth Conference on Machine Translation*

Pages: [1](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/) · … · [9](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/9/) · **10** · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)