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

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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-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** · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-11/)

1. ji-2026-data-centric-continual-pre-training
2. jia-2025-semantic-uncertainty-sampling-strategy-back
3. jiang-2026-breaking-consensus-bias-unsupervised-reinforcement
4. jimenez-2024-universitat-d-alacant-s-submission
5. jimenez-2025-beyond-mode-sequence-level-distillation
6. jiu-2025-tvqacml-benchmarking-text-centric-visual
7. jobanputra-2024-teamsaarlst-gem-24-data-text
8. jon-2023-character-level-nmt-language-similarity
9. jon-2026-current-state-llms-arabic-dialectal
10. jorgensen-2025-cross-lingual-sentence-compression-length
11. jumashev-2025-kyrgyz-seed-dataset-submission-wmt25
12. kaing-2025-prahokbart-pre-trained-sequence-sequence
13. kang-2026-ease-entity-aware-sub-table
14. kazakouskaya-2025-adapting-definition-modeling-new-languages
15. kew-2022-improving-specificity-review-response-generation
16. khongthaw-2025-dods-iitpkd-submissions-wmt25-low
17. kim-2022-vacillating-human-correlation-sacrebleu-unprotected
18. kim-2025-multi-agentmt-deploying-ai-agent
19. kim-2026-wigvo-real-time-bidirectional-speech
20. knowles-2022-test-set-sampling-affects-system
21. knowles-2024-some-tradeoffs-continual-learning-parliamentary
22. koltunski-2025-human-or-machine-translated-subtitles
23. koneru-2024-blending-llms-into-cascaded-speech
24. korotkova-2023-distilling-estonian-text-domains-production
25. krause-2024-graph-representations-machine-translation-dialogue
26. kumar-2026-mind-pause-disfluency-aware-objective
27. l-2024-hire-high-recall-approximate-top
28. lamote-2026-style-terminology-commercial-flows-mixing
29. lankford-2023-design-open-source-architecture-neural
30. larkin-2021-like-chalk-cheese-effects-translationese
31. le-2021-low-resource-neural-machine-translation
32. lee-2023-that-was-last-straw-we
33. lee-2026-equity-efficiency-empirical-study-tokenizers
34. levtsov-2025-confidence-stability-global-pairwise-scores
35. li-2024-what-have-we-achieved-non
36. li-2026-boyaeval-evaluating-multimodal-large-language
37. li-2026-crochetbench-can-vision-language-models
38. li-2026-translation-annotation-computational-study-translating
39. lian-2025-lingbench-linguistically-informed-benchmark-reasoning
40. lian-2025-lobster-linguistics-olympiad-benchmark-structured
41. limisiewicz-2025-dual-debiasing-remove-stereotypes-keep
42. lin-2023-some-trials-ancient-modern-chinese
43. lin-2026-mptc-bench-measuring-cross-market
44. liu-2023-copying-problem-unsupervised-nmt-training
45. liu-2023-revisiting-gold-standard-grounding-summarization
46. liu-2024-cloudsheep-system-wmt24-discourse-level
47. liu-2024-hallucinations-large-language
48. liu-2024-incomplete-loop-deductive-inductive-abductive
49. liu-2024-recent-highlights-multilingual-multimodal-speech
50. liu-2024-towards-global-ai-inclusivity-large
51. liu-2025-global-ai-inclusivity-large-scale
52. louchheim-2025-encipherment-isolate-conditions-successful-fine
53. mahata-2023-transfer-learning-low-resourced-mt
54. mainardi-2025-fine-tuning-vs-prompting-techniques
55. manea-2025-multilingual-vision-language-models-survey
56. maurya-2023-low-resource-language-generation-limited
57. mcgill-2024-bootstrapping-pre-trained-word-embedding
58. mcgill-2024-can-true-zero-shot-methods
59. mcnamee-2023-extensive-exploration-back-translation-60
60. menezes-2023-context-aware-annotation-framework-customer
61. merad-2025-language-very-rare-all
62. meyer-2025-learning-dynamics-subword-segmentation-morphologically
63. meyers-2025-role-handling-attributive-nouns-improving
64. michot-2024-error-preserving-automatic-speech-recognition
65. mikelenic-2024-multilingual-literary-parallel-corpus-train
66. minh-2025-challenge-track-jharna-mt-copy
67. moerman-2025-tailoring-machine-translation-scientific-literature
68. mohammadshahi-2024-investigating-multi-pivot-ensembling-massively
69. mondshine-2025-beyond-n-grams-rethinking-evaluation
70. montella-2022-transfer-learning-masked-generation-answer
71. moon-2025-metric-calculating-benchmark-code-verifiable
72. murugesan-2023-mismatch-fine-grained-evaluation-machine
73. mutal-2023-improving-standard-german-captioning-spoken
74. mutal-2024-improving-sign-language-production-healthcare
75. mutal-2024-tim-unige-translation-into-low
76. nagato-2025-character-aware-english-japanese-translation
77. naik-2025-crscore-grounding-automated-evaluation-code
78. nakai-2025-treplina-layer-wise-cka-repina
79. nakhle-2023-l-evaluation-de-la-traduction
80. natsumi-2025-agreement-constrained-probabilistic-minimum-bayes
81. nguefack-2025-pretraining-strategies-monolingual-parallel-data
82. nigatu-2025-case-against-implicit-standards-homophone
83. oinam-2025-delab-iiitm-wmt25-enhancing-low
84. oktem-2025-correcting-tamazight-portions-flores-oldi
85. oncevay-2022-revisiting-syllables-language-modelling-their
86. ortega-2023-research-based-guide-creation-deployment
87. ouzerrout-2025-uter-capturing-human-touch-evaluating
88. pal-2023-cheating-identify-hard-problems-neural
89. pancholi-2025-tabxeval-why-this-is-bad
90. park-2023-varco-mt-ncsoft-s-wmt
91. patel-2024-tweak-trust-assessing-reliability-summarization
92. pelofske-2024-automated-multi-language-english-machine
93. pengpun-2024-creating-english-thai-code-switched
94. pinnis-2018-developing-neural-machine-translation-service
95. pombal-2024-improving-context-usage-translating-bilingual
96. ponce-2024-vicomtech-wmt-2024-shared-task
97. poncelas-2020-multiple-segmentations-thai-sentences-neural
98. poncelas-2022-benefiting-language-similarity-multilingual-mt
99. poncelas-2025-sakura-semeval-2025-task-2
100. popovic-2016-enlarging-scarce-domain-english-croatian

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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-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** · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-11/)

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