---
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/7/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/7/)

[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 7

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/) · … · [6](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/6/) · **7** · [8](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/8/) · … · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)

1. [Yes-MT's Submission to the Low-Resource Indic Language Translation Shared Task in WMT 2024](https://aclanthology.org/2024.wmt-1.71/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
2. [“According to . . . “: Prompting Language Models Improves Quoting from Pre-Training Data](https://aclanthology.org/2024.eacl-long.140/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [chrF-S: Semantics Is All You Need](https://aclanthology.org/2024.wmt-1.33/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
4. [mbrs: A Library for Minimum Bayes Risk Decoding](https://aclanthology.org/2024.emnlp-demo.37/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
5. [xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics](https://aclanthology.org/2024.emnlp-main.1223/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
6. [xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection](https://aclanthology.org/2024.tacl-1.54/) *— 2024 · Transactions of the Association for Computational Linguistics*
7. [xTower: A Multilingual LLM for Explaining and Correcting Translation Errors](https://aclanthology.org/2024.findings-emnlp.892/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
8. [大语言模型的幻觉问题研究综述](https://jos.org.cn/jos/article/abstract/7242) *— 2024 · 软件学报 (Journal of Software)*
9. [A Call for Standardization and Validation of Text Style Transfer Evaluation](https://aclanthology.org/2023.findings-acl.687/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
10. [A Context-Aware Annotation Framework for Customer Support Live Chat Machine Translation](https://aclanthology.org/2023.mtsummit-research.24/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
11. [A Dual Reinforcement Method for Data Augmentation using Middle Sentences for Machine Translation](https://aclanthology.org/2023.mtsummit-research.5/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
12. [A Filtering Approach to Object Region Detection in Multimodal Machine Translation](https://aclanthology.org/2023.mtsummit-research.33/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
13. [A Holistic Approach to Reference-Free Evaluation of Machine Translation](https://aclanthology.org/2023.acl-short.55/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
14. [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://arxiv.org/abs/2302.04023) *— 2023 · arXiv:2302.04023*
15. [A Natural Bias for Language Generation Models](https://aclanthology.org/2023.acl-short.22/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
16. [A Research-Based Guide for the Creation and Deployment of a Low-Resource Machine Translation System](https://aclanthology.org/2023.ranlp-1.88/) *— 2023 · Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing*
17. [A Study on the Effectiveness of Large Language Models for Translation with Markup](https://aclanthology.org/2023.mtsummit-research.13/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
18. [AMR4NLI: Interpretable and robust NLI measures from semantic graphs](https://aclanthology.org/2023.iwcs-1.29/) *— 2023 · Proceedings of the 15th International Conference on Computational Semantics*
19. [Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment](https://aclanthology.org/2023.eamt-1.30/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
20. [Addressing the Length Bias Challenge in Document-Level Neural Machine Translation](https://aclanthology.org/2023.findings-emnlp.773/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
21. [AlignScore: Evaluating Factual Consistency with A Unified Alignment Function](https://aclanthology.org/2023.acl-long.634/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [An Extensive Exploration of Back-Translation in 60 Languages](https://aclanthology.org/2023.findings-acl.518/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
23. [Automatic Evaluation and Analysis of Idioms in Neural Machine Translation](https://aclanthology.org/2023.eacl-main.267/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
24. [Automating Behavioral Testing in Machine Translation](https://aclanthology.org/2023.wmt-1.97/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
25. [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
26. [BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric](https://aclanthology.org/2023.acl-long.504/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
27. [BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training](https://aclanthology.org/2023.acl-long.297/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
28. [Benchmarking Large Language Model Capabilities for Conditional Generation](https://aclanthology.org/2023.acl-long.511/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish](https://aclanthology.org/2023.ijcnlp-main.52/) *— 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 (Volume 1: Long Papers)*
30. [Better Translation + Split and Generate for Multilingual RDF-to-Text (WebNLG 2023)](https://aclanthology.org/2023.mmnlg-1.8/) *— 2023 · Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023)*
31. [Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics](https://aclanthology.org/2023.mtsummit-research.16/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
32. [Boosting Distress Support Dialogue Responses with Motivational Interviewing Strategy](https://aclanthology.org/2023.findings-acl.334/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
33. [Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation](https://aclanthology.org/2023.acl-long.122/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
34. [Bubble up – A Fine-tuning Approach for Style Transfer to Community-specific Subreddit Language](https://aclanthology.org/2023.cpss-1.5/) *— 2023 · Proceedings of the 3rd Workshop on Computational Linguistics for the Political and Social Sciences*
35. [CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation](https://aclanthology.org/2023.findings-emnlp.519/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
36. [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*
37. [Character-level NMT and language similarity](https://aclanthology.org/2023.mtsummit-research.30/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
38. [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*
39. [Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback](https://arxiv.org/abs/2302.12813) *— 2023 · arXiv:2302.12813*
40. [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*
41. [Cross-modality Data Augmentation for End-to-End Sign Language Translation](https://aclanthology.org/2023.findings-emnlp.904/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
42. [DATScore: Evaluating Translation with Data Augmented Translations](https://aclanthology.org/2023.findings-eacl.69/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
43. [Data Sampling and (In)stability in Machine Translation Evaluation](https://aclanthology.org/2023.findings-acl.826/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
44. [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)*
45. [Delving into Evaluation Metrics for Generation: A Thorough Assessment of How Metrics Generalize to Rephrasing Across Languages](https://aclanthology.org/2023.eval4nlp-1.3/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
46. [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*
47. [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*
48. [Dialect-robust Evaluation of Generated Text](https://aclanthology.org/2023.acl-long.331/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [Distilling Estonian Text Domains for Production-Oriented Machine Translation](https://aclanthology.org/2023.nodalida-1.78/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
50. [Do GPTs Produce Less Literal Translations?](https://aclanthology.org/2023.acl-short.90/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
51. [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*
52. [Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts](https://arxiv.org/abs/2309.12863) *— 2023 · arXiv:2309.12863*
53. [Effects of sub-word segmentation on performance of transformer language models](https://aclanthology.org/2023.emnlp-main.459/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
54. [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*
55. [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*
56. [Enhancing Neural Machine Translation with Semantic Units](https://aclanthology.org/2023.findings-emnlp.149/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
57. [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)*
58. [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*
59. [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)*
60. [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*
61. [Execution-Based Evaluation for Open-Domain Code Generation](https://aclanthology.org/2023.findings-emnlp.89/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
62. [Exploiting large pre-trained models for low-resource neural machine translation](https://aclanthology.org/2023.eamt-1.7/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
63. [Exploring Context-Aware Evaluation Metrics for Machine Translation](https://aclanthology.org/2023.findings-emnlp.1021/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
64. [Exploring Distributional Shifts in Large Language Models for Code Analysis](https://aclanthology.org/2023.emnlp-main.1013/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
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. [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)*
67. [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*
68. [Findings of the 1st Shared Task on Multi-lingual Multi-task Information Retrieval at MRL 2023](https://aclanthology.org/2023.mrl-1.24/) *— 2023 · Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL)*
69. [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*
70. [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)*
71. [Findings of the WMT 2023 Shared Task on Automatic Post-Editing](https://aclanthology.org/2023.wmt-1.55/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
72. [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*
73. [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*
74. [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*
75. [Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task](https://aclanthology.org/2023.americasnlp-1.20/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
76. [GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4](https://aclanthology.org/2023.wmt-1.64/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
77. [GPTScore: Evaluate as You Desire](https://arxiv.org/abs/2302.04166) *— 2023 · arXiv:2302.04166*
78. [Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges](https://aclanthology.org/2023.gitt-1.7/) *— 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies*
79. [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*
80. [Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs](https://aclanthology.org/2023.emnlp-main.770/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
81. [Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus](https://aclanthology.org/2023.emnlp-main.873/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
82. [How About Kind of Generating Hedges using End-to-End Neural Models?](https://aclanthology.org/2023.acl-long.50/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation](https://arxiv.org/abs/2302.09210) *— 2023 · arXiv:2302.09210*
84. [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*
85. [How effective is machine translation on low-resource code-switching? A case study comparing human and automatic metrics](https://aclanthology.org/2023.findings-acl.893/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
86. [ICE-Score: Instructing Large Language Models to Evaluate Code](https://arxiv.org/abs/2304.14317) *— 2023 · arXiv:2304.14317*
87. [INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://aclanthology.org/2023.emnlp-main.365/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
88. [Improving Neural Machine Translation of Indigenous Languages with Multilingual Transfer Learning](https://aclanthology.org/2023.loresmt-1.6/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
89. [Improving Standard German Captioning of Spoken Swiss German: Evaluating Multilingual Pre-trained Models](https://aclanthology.org/2023.mtsummit-users.6/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
90. [IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages](https://arxiv.org/abs/2305.16307) *— 2023 · arXiv:2305.16307*
91. [Interactive Text Generation](https://aclanthology.org/2023.emnlp-main.270/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
92. [Investigating the Effectiveness of Multiple Expert Models Collaboration](https://aclanthology.org/2023.findings-emnlp.960/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
93. [It”s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk](https://aclanthology.org/2023.bigpicture-1.9/) *— 2023 · Proceedings of the Big Picture Workshop*
94. [JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing](https://aclanthology.org/2023.findings-emnlp.664/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
95. [JudgeLM: Fine-tuned Large Language Models are Scalable Judges](https://arxiv.org/abs/2310.17631) *— 2023 · arXiv:2310.17631*
96. [KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection](https://aclanthology.org/2023.emnlp-main.867/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
97. [KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation](https://arxiv.org/abs/2301.12699) *— 2023 · arXiv:2301.12699*
98. [KT2: Kannada-Tulu Parallel Corpus Construction for Neural Machine Translation](https://aclanthology.org/2023.icon-1.75/) *— 2023 · Proceedings of the 20th International Conference on Natural Language Processing (ICON)*
99. [KnowComp Submission for WMT23 Sign Language Translation Task](https://aclanthology.org/2023.wmt-1.36/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
100. [L”évaluation de la traduction automatique du caractère au document : un état de l”art](https://aclanthology.org/2023.jeptalnrecital-rjc.10/) *— 2023 · Actes de CORIA-TALN 2023. Actes des 16e Rencontres Jeunes Chercheurs en RI (RJCRI) et 25e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/) · … · [6](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/6/) · **7** · [8](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/8/) · … · [11](https://md.research.elamur.ai/free/en/papers/popovic-2015-chrf-character-n-gram-f/cited-by/page/11/)