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# Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 14

1514 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/snover-2006-study-translation-edit-rate-targeted/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-13/) · **14** · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-16/)

1. ive-2018-sheffield-submissions-wmt18-quality-estimation
2. ive-2021-exploring-supervised-unsupervised-rewards-machine
3. jehl-2018-document-level-information-as-side
4. jhaveri-2018-workbench-rapid-generation-cross-lingual
5. jia-2025-semantic-uncertainty-sampling-strategy-back
6. kao-2008-rapid-development-english-farsi-speech
7. karakanta-2024-evaluating-automatic-subtitling-correlating-post
8. karakanta-2026-beyond-post-editing-project-based
9. kasahara-2023-exploring-automatic-evaluation-methods-based
10. kashyap-2023-baseline-system-khasi-assamese-bidirectional
11. khadivi-2017-neural-statistical-methods-leveraging-meta
12. khalilov-2012-building-english-chinese-chinese-english
13. kholy-2014-alignment-symmetrisation-optimization-targeting-phrase
14. khongthaw-2025-dods-iitpkd-submissions-wmt25-low
15. kim-2022-vacillating-human-correlation-sacrebleu-unprotected
16. kim-2025-multi-agentmt-deploying-ai-agent
17. knowles-2022-test-set-sampling-affects-system
18. koltunski-2025-human-or-machine-translated-subtitles
19. koneru-2026-boom-beyond-only-one-modality
20. koretaka-2025-targeted-source-text-editing-machine
21. kumar-2020-transformer-based-neural-machine-translation
22. kumar-2025-tackling-low-resource-nmt-instruction
23. kumar-2026-mind-pause-disfluency-aware-objective
24. kvapilikova-2020-cuni-systems-unsupervised-very-low
25. lamote-2026-style-terminology-commercial-flows-mixing
26. landwehr-2023-opentipe-open-source-translation-framework
27. lankford-2023-design-open-source-architecture-neural
28. lardilleux-2011-generalisation-de-l-alignement-sous
29. lardilleux-2012-alignement-sous-phrastique-hierarchique-avec
30. laskar-2021-neural-machine-translation-tamil-telugu
31. lee-2023-pepe-personalized-post-editing-model
32. lee-2024-advancing-semi-supervised-learning-automatic
33. lewis-2009-web-service-integration-next-generation
34. li-2009-casia-statistical-machine-translation-system
35. li-2012-confusion-network-based-system-combination
36. li-2015-hybrid-system-chinese-english-patent
37. li-2016-graph-based-translation-graph-segmentation
38. li-2016-phrase-level-combination-smt-tm
39. li-2019-comparison-fine-grained-pre-trained
40. li-2021-feature-level-incongruence-reduction-multimodal
41. li-2023-few-shot-data-text-generation
42. li-2023-learning-mistakes-robust-neural-machine
43. li-2026-translation-annotation-computational-study-translating
44. liu-2011-hypergraph-training-decoding-system-combination
45. liu-2024-evaluation-briefs-drawing-translation-studies
46. liu-2024-meddialog-fr-french-version-meddialog
47. liu-2024-towards-global-ai-inclusivity-large
48. liu-2025-global-ai-inclusivity-large-scale
49. ljubesic-2016-producing-monolingual-parallel-web-corpora
50. logacheva-2014-confidence-based-active-learning-methods
51. logacheva-2014-quality-based-active-sample-selection
52. logacheva-2015-data-enhancement-selection-strategies-word
53. lu-2024-improving-unsupervised-neural-machine-translation
54. ma-2012-phrase-level-system-combination-machine
55. ma-2024-3am-ambiguity-aware-multi-modal
56. macaire-2024-multimodal-french-corpus-aligned-speech
57. mahata-2018-smt-vs-nmt-comparison-over
58. mahata-2023-transfer-learning-low-resourced-mt
59. mahmoudi-2013-supervised-morphology-generation-parallel-corpus
60. mainardi-2025-fine-tuning-vs-prompting-techniques
61. manchego-2021-deepquest-py-large-distilled-models
62. mansour-2014-automatic-dialect-classification-statistical-machine
63. mansour-2014-translation-model-based-weighting-phrase
64. mansour-2014-unsupervised-adaptation-statistical-machine-translation
65. marchisio-2022-systematic-style-differences-between-unsupervised
66. marie-2014-confidence-based-rewriting-machine-translation
67. marmonier-2025-french-version-oldi-seed-corpus
68. martinez-2009-marker-based-filtering-bilingual-phrase
69. mathur-2014-online-multi-user-adaptive-statistical
70. mathur-2014-optimized-mt-online-learning-computer
71. mayor-2009-matxin-moving-language-independence
72. mcnamee-2023-extensive-exploration-back-translation-60
73. mikelenic-2024-multilingual-literary-parallel-corpus-train
74. mille-2023-generating-irish-text-flexible-plug
75. mohammed-2020-just-system-wmt20-chat-translation
76. mondal-2019-ju-saarland-submission-wmt2019-english
77. montella-2022-transfer-learning-masked-generation-answer
78. mukherjee-2025-why-should-only-high-resource
79. mutal-2022-standard-german-subtitling-swiss-german
80. mutal-2024-improving-sign-language-production-healthcare
81. mutal-2024-tim-unige-translation-into-low
82. nagase-2011-automatic-error-analysis-based-grammatical
83. nakhle-2023-l-evaluation-de-la-traduction
84. nakov-2013-parameter-optimization-statistical-machine-translation
85. nasri-2015-statistical-machine-translation-improvement-based
86. navarro-2023-exploring-multilingual-pretrained-machine-translation
87. neubig-2016-optimization-statistical-machine-translation-survey
88. nikiforovskaya-2025-fine-tuning-prompting-rag-knowledge
89. offersgaard-2008-domain-specific-mt-use
90. ojha-2020-nuig-panlingua-kmi-hindi-marathi
91. oktem-2025-correcting-tamazight-portions-flores-oldi
92. oliver-2020-posedion-post-editing-assessment-python
93. ortega-2019-improving-translations-combining-fuzzy-match
94. ortega-2023-research-based-guide-creation-deployment
95. osuji-2025-are-multi-agents-new-pipeline
96. ouzerrout-2025-uter-capturing-human-touch-evaluating
97. paetzold-2017-feature-enriched-character-level-convolutions
98. pahari-2016-ju-usaar-domain-adaptive-mt
99. pal-2014-word-alignment-based-reordering-source
100. pal-2019-uds-dfki-submission-wmt2019-czech

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-13/) · **14** · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-16/)

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