[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-5/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 5

# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 5

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/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-4/) · **5** · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-11/)

1. [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*
2. [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*
3. [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*
4. [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*
5. [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*
6. [DATScore: Evaluating Translation with Data Augmented Translations](https://aclanthology.org/2023.findings-eacl.69/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
7. [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*
8. [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)*
9. [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)*
10. [Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts](https://arxiv.org/abs/2309.12863) *— 2023 · arXiv:2309.12863*
11. [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*
12. [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*
13. [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*
14. [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)*
15. [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*
16. [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*
17. [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*
18. [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*
19. [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)*
20. [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*
21. [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*
22. [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)*
23. [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*
24. [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*
25. [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*
26. [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*
27. [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)*
28. [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*
29. [GPTScore: Evaluate as You Desire](https://arxiv.org/abs/2302.04166) *— 2023 · arXiv:2302.04166*
30. [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*
31. [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*
32. [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*
33. [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*
34. [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)*
35. [How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation](https://arxiv.org/abs/2302.09210) *— 2023 · arXiv:2302.09210*
36. [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*
37. [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*
38. [ICE-Score: Instructing Large Language Models to Evaluate Code](https://arxiv.org/abs/2304.14317) *— 2023 · arXiv:2304.14317*
39. [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*
40. [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)*
41. [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*
42. [Interactive Text Generation](https://aclanthology.org/2023.emnlp-main.270/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
43. [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*
44. [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*
45. [JudgeLM: Fine-tuned Large Language Models are Scalable Judges](https://arxiv.org/abs/2310.17631) *— 2023 · arXiv:2310.17631*
46. [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*
47. [KG-BERTScore: Incorporating Knowledge Graph into BERTScore for Reference-Free Machine Translation Evaluation](https://arxiv.org/abs/2301.12699) *— 2023 · arXiv:2301.12699*
48. [Learning Language-Specific Layers for Multilingual Machine Translation](https://aclanthology.org/2023.acl-long.825/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [Length Does Matter: Summary Length can Bias Summarization Metrics](https://aclanthology.org/2023.emnlp-main.984/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
50. [Leveraging GPT-4 for Automatic Translation Post-Editing](https://aclanthology.org/2023.findings-emnlp.804/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
51. [MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods](https://arxiv.org/abs/2309.10966) *— 2023 · arXiv:2309.10966*
52. [MEE4 and XLsim : IIIT HYD''s Submissions'' for WMT23 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.66/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
53. [Machine Translation Advancements for Low-Resource Indian Languages in WMT23: CFILT-IITB''s Effort for Bridging the Gap](https://aclanthology.org/2023.wmt-1.89/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
54. [Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting](https://aclanthology.org/2023.findings-eacl.127/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
55. [Machine Translation for Low-resource Finno-Ugric Languages](https://aclanthology.org/2023.nodalida-1.77/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
56. [Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model](https://aclanthology.org/2023.acl-long.198/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Metric Score Landscape Challenge (MSLC23): Understanding Metrics'' Performance on a Wider Landscape of Translation Quality](https://aclanthology.org/2023.wmt-1.65/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
58. [MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.63/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
59. [Multi-Parallel Corpus of North Levantine Arabic](https://aclanthology.org/2023.arabicnlp-1.34/) *— 2023 · Proceedings of ArabicNLP 2023*
60. [Multidimensional Evaluation for Text Style Transfer Using ChatGPT](https://arxiv.org/abs/2304.13462) *— 2023 · arXiv:2304.13462*
61. [Multifaceted Challenge Set for Evaluating Machine Translation Performance](https://aclanthology.org/2023.wmt-1.22/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
62. [Murreviikko - A Dialectologically Annotated and Normalized Dataset of Finnish Tweets](https://aclanthology.org/2023.vardial-1.3/) *— 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)*
63. [NITS-CNLP Low-Resource Neural Machine Translation Systems of English-Manipuri Language Pair](https://aclanthology.org/2023.wmt-1.92/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
64. [Neural Machine Translation Methods for Translating Text to Sign Language Glosses](https://aclanthology.org/2023.acl-long.700/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
65. [On the Efficacy of Sampling Adapters](https://aclanthology.org/2023.acl-long.80/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software](https://aclanthology.org/2023.nllp-1.23/) *— 2023 · Proceedings of the Natural Legal Language Processing Workshop 2023*
67. [PE effort and neural-based automatic MT metrics: do they correlate?](https://aclanthology.org/2023.eamt-1.31/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
68. [Pivot Translation for Zero-resource Language Pairs Based on a Multilingual Pretrained Model](https://aclanthology.org/2023.mtsummit-research.29/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
69. [Poor Man''s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference](https://aclanthology.org/2023.eacl-main.95/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
70. [Prompt2Model: Generating Deployable Models from Natural Language Instructions](https://aclanthology.org/2023.emnlp-demo.38/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
71. [Pulling Out All The Full Stops: Punctuation Sensitivity in Neural Machine Translation and Evaluation](https://aclanthology.org/2023.findings-acl.381/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
72. [Quality Analysis of Multilingual Neural Machine Translation Systems and Reference Test Translations for the English-Romanian language pair in the Medical Domain](https://aclanthology.org/2023.eamt-1.35/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
73. [RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question](https://aclanthology.org/2023.findings-acl.428/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
74. [Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity](https://arxiv.org/abs/2301.12867) *— 2023 · arXiv:2301.12867*
75. [Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework](https://aclanthology.org/2023.acl-long.779/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [Reference-Free Summarization Evaluation with Large Language Models](https://aclanthology.org/2023.eval4nlp-1.16/) *— 2023 · Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems*
77. [Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent](https://aclanthology.org/2023.wmt-1.51/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
78. [Rethinking Round-Trip Translation for Machine Translation Evaluation](https://aclanthology.org/2023.findings-acl.22/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
79. [SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes](https://aclanthology.org/2023.acl-long.283/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [SOTASTREAM: A Streaming Approach to Machine Translation Training](https://aclanthology.org/2023.nlposs-1.13/) *— 2023 · Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)*
81. [Scaling Law for Document Neural Machine Translation](https://aclanthology.org/2023.findings-emnlp.556/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
82. [Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities](https://aclanthology.org/2023.acl-long.809/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Seamless: Multilingual Expressive and Streaming Speech Translation](https://arxiv.org/abs/2312.05187) *— 2023 · arXiv:2312.05187*
84. [SeamlessM4T: Massively Multilingual & Multimodal Machine Translation](https://arxiv.org/abs/2308.11596) *— 2023 · arXiv:2308.11596*
85. [Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM''s Translation Capability](https://aclanthology.org/2023.acl-long.524/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [SelectNoise: Unsupervised Noise Injection to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages](https://aclanthology.org/2023.findings-emnlp.109/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
87. [Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages](https://aclanthology.org/2023.americasnlp-1.21/) *— 2023 · Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)*
88. [Solving Linguistic Olympiad Problems with Tree-of-Thought Prompting](https://aclanthology.org/2023.rocling-1.33/) *— 2023 · Proceedings of the 35th Conference on Computational Linguistics and Speech Processing (ROCLING 2023)*
89. [Speech Translation with Style: AppTek''s Submissions to the IWSLT Subtitling and Formality Tracks in 2023](https://aclanthology.org/2023.iwslt-1.22/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
90. [Steering Large Language Models for Machine Translation with Finetuning and In-Context Learning](https://aclanthology.org/2023.findings-emnlp.744/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
91. [Subword Segmental Machine Translation: Unifying Segmentation and Target Sentence Generation](https://aclanthology.org/2023.findings-acl.175/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
92. [T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics](https://aclanthology.org/2023.findings-emnlp.1014/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
93. [TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties](https://aclanthology.org/2023.arabicnlp-1.6/) *— 2023 · Proceedings of ArabicNLP 2023*
94. [TaTA: A Multilingual Table-to-Text Dataset for African Languages](https://aclanthology.org/2023.findings-emnlp.118/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
95. [Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization](https://aclanthology.org/2023.acl-long.47/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [Text Style Transfer Back-Translation](https://aclanthology.org/2023.acl-long.441/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [The Helsinki-NLP Submissions at NADI 2023 Shared Task: Walking the Baseline](https://aclanthology.org/2023.arabicnlp-1.73/) *— 2023 · Proceedings of ArabicNLP 2023*
98. [The Inside Story: Towards Better Understanding of Machine Translation Neural Evaluation Metrics](https://aclanthology.org/2023.acl-short.94/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
99. [The OPUS-MT Dashboard – A Toolkit for a Systematic Evaluation of Open Machine Translation Models](https://aclanthology.org/2023.acl-demo.30/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
100. [The Role of Compounds in Human vs. Machine Translation Quality](https://aclanthology.org/2023.mtsummit-research.21/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-4/) · **5** · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-11/)

- [← previous Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-4/)
- [next → Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-6/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)