[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-11/)

[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 11

# Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 11

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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-10/) · **11**

1. popovic-2019-automatic-error-classification-multiple-error
2. popovic-2020-neural-machine-translation-between-similar
3. popovic-2021-machine-translation-user-reviews
4. popovic-2023-mt-multilingual-covid-19-case
5. prasad-2025-faster-machine-translation-ensembling-reinforcement
6. puranik-2021-attentive-fine-tuning-transformers-translation
7. qian-2024-diffusion-glancing-transformer-parallel-sequence
8. qu-2025-improving-language-transfer-capability-decoder
9. qu-2025-registering-source-tokens-target-language
10. raj-2025-challenge-track-loras-all-directions
11. rajcoomar-2025-kozkreolmru-wmt-2025-creolemt-system
12. ramarao-2024-klartextcoders-stage-automatic-statement-annotations
13. retkowski-2025-summarizing-speech-comprehensive-survey
14. ri-2025-reranking-based-generation-unbiased-perspective
15. rikters-2025-image-text-relation-prediction-multilingual
16. rimal-2026-benchmarking-linguistic-adaptation-comparable-sized
17. robinson-2025-findings-first-shared-task-creole
18. robinson-2025-jhu-wmt-2025-creolemt-system
19. rowe-2025-edinhelsow-wmt-2025-creolemt-system
20. roy-2024-enhancing-low-resource-nmt-multilingual
21. rubino-2024-automatic-normalisation-middle-french-its
22. sadrizadeh-2024-classification-guided-approach-adversarial-attacks
23. saha-2022-proto-gen-end-end-neural
24. saleva-2025-beyond-statistical-significance-quantifying-uncertainty
25. salvador-2025-benchmarking-llms-semantic-overlap-summarization
26. sayed-2024-spring-lab-iitm-s-submission
27. scalvini-2025-prompt-engineering-enhances-faroese-mt
28. semenov-2025-measuring-effect-disfluency-multilingual-knowledge
29. setiawan-2024-accurate-knowledge-distillation-n-best
30. sharami-2025-analysis-vocabulary-subword-tokenization-settings
31. sharma-2022-mtlens-machine-translation-output-debugging
32. shi-2026-paritok-4b-intent-conditioned-context
33. shim-2025-dialetto-ma-quanto-dialetto-transcribing
34. shuvo-2026-name-name-benchmark-dataset-distilled
35. shuvo-2026-polite-surface-broken-practice-curated
36. signoroni-2023-muni-nlp-systems-low-resource
37. sigurdsson-2025-up-par-mt-systems-take
38. simmons-2024-sumtablets-transliteration-dataset-sumerian-tablets
39. simons-2024-highly-granular-dialect-normalization-phonological
40. singh-2025-findings-mmloso-2025-shared-task
41. singh-2025-graph-assisted-culturally-adaptable-idiomatic
42. singh-2025-instruction-tuned-english-bhojpuri-neural
43. skadina-2025-first-steps-benchmarking-latvian-large
44. solfrini-2025-normaliser-le-moyen-francais-du
45. song-2025-mug-eval-proxy-evaluation-framework
46. song-2025-multilingual-verbalisation-knowledge-graphs
47. song-2025-structured-document-translation-format-reinforcement
48. soto-2022-comparing-combining-tagging-different-decoding
49. srivastava-2025-owl-probing-cross-lingual-recall
50. stajner-2016-can-text-simplification-help-machine
51. staniek-2024-text-overpassql-natural-language-interface
52. stanojevic-2015-results-wmt15-metrics-shared-task
53. su-2024-comparison-fine-tuning-context-learning
54. sushko-2025-skipclm-enhancing-crosslingual-alignment-decoder
55. tamura-2023-does-masked-language-model-pre
56. tang-2023-dual-reinforcement-method-data-augmentation
57. tangsali-2022-unsupervised-very-low-resource-supervised
58. tekgurler-2025-llms-translation-historical-low-resourced
59. tinner-2023-findings-1st-shared-task-multi
60. tinner-2024-findings-2nd-shared-task-multi
61. tsukagoshi-2025-automatic-accent-restoration-vedic-sanskrit
62. uthus-2023-rise-leveraging-retrieval-techniques-summarization
63. velazquez-2025-langmark-multilingual-dataset-automatic-post
64. vico-2023-larth-dataset-machine-translation-etruscan
65. waldendorf-2025-multilingual-data-filtering-synthetic-data
66. wang-2023-delving-into-evaluation-metrics-generation
67. wang-2025-bimax-bidirectional-maxsim-score-document
68. wang-2025-contrastscore-higher-quality-less-biased
69. wheeler-2025-reducing-environmental-costs-whilst-maintaining
70. wrobel-2025-prompt-based-gender-inclusive-polish
71. xiao-2025-machine-translation-literacy-how-lay
72. xu-2023-knowcomp-submission-wmt23-sign-language
73. yadav-2025-segmentation-beyond-defaults-asymmetrical-byte
74. yang-2025-multi-perspective-preference-alignment-llms
75. yazdani-2025-seeing-signing-saying-vision-language
76. yu-2023-simple-effective-input-reformulations-translation
77. yuan-2024-grasame-injecting-token-level-structural
78. zafar-2024-setu-dcu-submissions-iwslt-2024
79. zebaze-2025-topxgen-topic-diverse-parallel-data
80. zhan-2023-depa-improving-non-autoregressive-translation
81. zhang-2020-translation-new-named-entities-english
82. zhang-2021-textual-representations-crosslingual-information-retrieval
83. zhang-2023-enhancing-arabic-machine-translation-e
84. zhang-2023-leveraging-latent-topic-information-improve
85. zhao-2022-multimodal-robustness-neural-machine-translation
86. zheng-2021-low-resource-machine-translation-cross
87. zheng-2022-improving-jejueo-korean-translation-cross
88. zhong-2024-context-consistency-between-training-inference
89. zhou-2021-generalising-multilingual-concept-text-nlg
90. zhou-2023-train-global-tailor-local-minimalist
91. zhou-2025-tasc-asian-ted-based-automatic
92. zhou-2026-distill-where-student-goes-teacher
93. zouhar-2021-sampling-filtering-neural-machine-translation

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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-10/) · **11**

- [← previous Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-10/)
- [next → Who cites «chrF: character n-gram F-score for automatic MT evaluation» · page 2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/popovic-2015-chrf-character-n-gram-f-2/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)