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# Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 13

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** · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-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. bastan-2022-preordered-rnn-layer-boosts-neural
2. beck-2014-bayesian-kernel-methods-natural-language
3. beloucif-2019-naive-regularizers-low-resource-neural
4. berger-2023-enhancing-supervised-learning-contrastive-markings
5. berger-2025-surveying-landscape-image-captioning-evaluation
6. bick-2007-dan2eng-wide-coverage-danish-english
7. blain-2015-continuous-adaptation-user-feedback-statistical
8. blain-2020-quality-quality-out-learning-actual
9. blin-2022-does-partial-pretranslation-can-improve
10. boag-2016-mutt-metric-unit-testing-language
11. boix-2016-post-editing-wildlife-documentary-films
12. bouamor-2013-sumt-framework-summarization-mt
13. buet-2021-vers-la-production-automatique-de
14. buet-2022-sous-titrage-automatique-etude-de
15. buj-2020-nice-neural-integrated-custom-engines
16. camargo-2024-perceptions-educators-mtqa-curriculum-instruction
17. cao-2012-sample-selection-large-scale-mt
18. carmo-2016-cats-kats
19. carmo-2019-edit-distances-do-not-describe
20. carmo-2020-comparing-post-editing-based-four
21. cartagena-2018-prompsit-s-submission-iwslt-2018
22. castaldo-2025-unior-pet-online-platform-translation
23. castello-2026-enhancing-llm-translation-performance-spanish
24. castillo-2012-sagan-approach-semantic-textual-similarity
25. cettolo-2021-development-customized-neural-machine-translation
26. chatterjee-2014-supertag-based-pre-ordering-machine
27. chatterjee-2016-instance-selection-online-automatic-post
28. chen-2022-empowering-parameter-efficient-transfer-learning
29. chen-2022-inducer-tuning-connecting-prefix-tuning
30. chikkala-2025-automatic-fact-checking-english-telugu
31. chuchunkov-2014-applying-hmeant-english-russian-translations
32. cisse-2026-kumatigi-quality-driven-data-augmentation
33. costa-2020-building-first-english-brazilian-portuguese
34. crego-2023-bisync-bilingual-editor-synchronized-monolingual
35. cui-2020-nju-s-submission-wmt20-qe
36. cuong-2016-illc-uva-adaptation-system-scorpio
37. cuong-2018-assessing-quality-estimation-models-sentence
38. dabre-2023-nict-ai4b-s-submission-indic
39. dandapat-2014-mtwatch-tool-analysis-noisy-parallel
40. dani-2025-semantics-aware-prompting-translating-notices
41. dara-2013-tmtprime-recommender-system-mt-tm
42. deoghare-2025-refer-reference-reference-focused-synthetic
43. devlin-2011-system-combination-discriminative-cross-adaptation
44. dias-2025-systematic-review-machine-translation-transliteration
45. diep-2010-apprentissage-non-supervise-pour-la
46. dogru-2024-data-augmentation-translation-memories-desktop
47. domingo-2018-machine-translation-approach-modernizing-historical
48. domingo-2020-user-study-incremental-learning-nmt
49. dragomir-2026-clewr-curriculum-learning-restarts-machine
50. du-2009-source-side-context-informed-hypothesis
51. du-2010-augmented-three-pass-system-combination
52. du-2015-domain-adaptation-social-localisation-based
53. du-2015-empirical-study-segment-prioritization-incrementally
54. dubey-2026-maith-1-0-parallel-corpus
55. duc-2025-multimed-st-large-scale-many
56. duma-2016-data-selection-it-texts-paragraph
57. eidelman-2010-university-maryland-statistical-machine-translation
58. ellis-2026-wer-is-unaware-assessing-how
59. estrella-2020-re-design-machine-translation-training
60. etchegoyhen-2021-online-learning-over-time-adaptive
61. etori-2026-afrimmt-ea-multi-domain-machine
62. fan-2026-ketchup-k-step-return-estimation
63. farzindar-2012-evaluation-domain-adaptation-techniques-transli
64. feitosa-2017-analise-de-medidas-de-similaridade
65. freitag-2013-reverse-word-order-model
66. freitag-2015-local-system-voting-feature-machine
67. friedman-2008-identifying-common-challenges-human-machine
68. fujita-2021-attainable-text-text-machine-translation
69. gaido-2024-automatic-subtitling-subtitle-compression-fbk
70. gavrila-2009-jrc-acquis-smt-experiments-romanian
71. gerlach-2013-combining-pre-editing-post-editing
72. ghader-2016-which-words-matter-defining-phrase
73. ghazvininejad-2022-discourse-aware-soft-prompting-text
74. gibert-2026-kd4mt-survey-knowledge-distillation-machine
75. glenn-2008-management-large-annotation-projects-involving
76. gomez-2010-deterministic-annealing-based-training-algorithm
77. gomis-2022-cross-lingual-neural-fuzzy-matching
78. gonella-2026-crisitext-dataset-warning-messages-llm
79. gong-2012-classifier-based-tense-model-smt
80. gong-2014-incremental-development-statistical-machine-translation
81. gonzalez-2012-finite-state-approach-phrase-based
82. gonzalez-2024-galician-portuguese-neural-machine-translation
83. gonzalez-2024-study-state-art-galician-machine
84. gonzalez-2026-image-machine-translation-preliminary-modular
85. grygoryev-2022-english-russian-data-augmentation-neural
86. gupta-2019-improving-robustness-real-world-neural
87. guta-2015-extended-translation-models-phrase-based
88. guzman-2015-analyzing-optimization-statistical-machine-translation
89. hamada-2025-akibanlp-tut-injecting-language-specific
90. hanneman-2024-impacts-misspelled-queries-translation-product
91. haque-2009-dependency-relations-as-source-context
92. heafield-2010-voting-n-grams-machine-translation
93. herold-2021-data-filtering-cross-lingual-word
94. herrmann-2014-manual-analysis-structurally-informed-reordering
95. hewavitharana-2014-anticipatory-translation-model-adaptation-bilingual
96. hildebrand-2008-recent-improvements-cmu-large-scale
97. hirschmann-2016-what-makes-word-level-neural
98. hong-2025-consistencychecker-tree-based-evaluation-llm
99. huck-2012-insertion-deletion-models-statistical-machine
100. issaka-2026-african-languages-lab-collaborative-approach

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** · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-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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