[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-7/)

[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 «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 7

# Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 7

914 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/ud-2020-qi-stanza-python-natural-language-processing/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-6/) · **7** · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-10/)

1. afanasev-2025-rubic2-ensemble-model-russian-lemmatization
2. afanasev-2026-evaluation-framework-transfer-learning-between
3. afanasev-2026-quantitative-lect-description-case-study
4. afanasev-2026-transvar-corpus-variation-change-study
5. aggarwal-2022-bye-bye-maintenance-work-model
6. aggazzotti-2025-impact-automatic-speech-transcription-speaker
7. agirrezabal-2022-kucst-lt-edi-acl2022-detecting
8. ai-2026-tooldna-autonomous-evolution-tool-metadata
9. akef-2026-llm-powered-but-rule-grounded
10. alecakir-2024-groningen-team-semeval-2024-task
11. alves-2025-information-theory-linguistic-variation-study
12. alves-2026-cognitive-signatures-multi-word-expressions
13. alzetta-2025-low-vs-high-level-lemmatization
14. anderson-2022-assessing-limits-distributional-hypothesis-semantic
15. anschutz-2025-tum-mikani-semeval-2025-task
16. aoyama-2022-probe-less-probing-bert-s
17. arase-2021-distilling-word-meaning-context-pre
18. arcan-2022-bootstrapping-chatbot-industrial-heritage-through
19. atmani-2021-open-information-extraction-approche-supervisee
20. atnashev-2022-razmecheno-named-entity-recognition-digital
21. attanasio-2024-itaeval-calamita-challenge
22. bagdasarov-2024-multi-word-expressions-biomedical-abstracts
23. bak-2021-kakao-enterprise-s-wmt21-machine
24. bandarupalli-2025-unified-processing-perso-arabic-scripts
25. baorong-2021-translation-professionals-corpus-based-study
26. barbini-2023-iuss-nets-langlearn-role-morphosyntactic
27. battistelli-2022-une-chaine-de-traitement-pour
28. bellucci-2026-segmentation-matters-exploring-llm-based
29. bhattacharjee-2022-what-do-users-care-about
30. biales-2023-sab-semeval-2023-task-2
31. biffi-2026-print-digital-beyond-retrodigitization-historical
32. bilgin-2022-matrix-based-heuristic-algorithm-extracting
33. blouin-2023-unlocking-transitional-chinese-word-segmentation
34. bolucu-2023-which-sentence-representation-is-more
35. boucharenc-2026-syntax-semantic-representation-sentences
36. brookshire-2024-modeling-moravian-memoirs-ternary-sentiment
37. broscoteanu-2023-novel-contrastive-learning-method-clickbait
38. bruneau-2025-engagement-non-engagement-two-notions
39. brutans-2025-automatic-animacy-classification-latvian-nouns
40. bucur-2023-automatic-extraction-romanian-academic-word
41. cao-2025-ncre-benchmark-document-level-nominal
42. cassani-2026-inclusive-communication-cancer-prevention-treatment
43. chan-2022-leveraging-social-media-as-source
44. chatterjee-2023-lost-translation-no-more-fine
45. chen-2024-linguistically-informed-annotation-strategy-korean
46. chen-2025-gadfa-generator-assisted-decision-focused
47. chitez-2024-romanian-phrasal-academic-lexicon
48. chung-2026-cross-lingual-stability-llm-judges
49. ciletti-2025-prompting-muse-generating-prosodically-correct
50. colak-2023-isiksumm-biolaysumm-task-1-bart
51. colli-2026-polysemy-ambiguity-case-french-modal
52. corbetta-2024-join-together-combining-data-parse
53. corbetta-2024-rise-fall-dependency-parsing-dante
54. corbetta-2025-what-is-better-syntactic-parsing
55. daza-2022-dealing-abbreviations-slovenian-biographical-lexicon
56. debnath-2026-cuet-yet-another-baseline-dravidianlangtech
57. delcaro-2024-predict-but-also-integrate-analysis
58. deleanu-2025-do-professionally-adapted-texts-follow
59. dermentzi-2026-ehri-annotator-web-based-tool
60. diaz-2023-umuteam-sinai-semeval-2023-task
61. dipper-2025-metaphorical-heads-literal-dependents-syntactic
62. dutt-2025-can-dependency-parses-facilitate-generalization
63. egg-2023-corpus-metaphors-as-register-markers
64. ehrmanntraut-2023-llpro-literary-language-processing-pipeline
65. elkaref-2021-joint-training-approach-tweet-classification
66. er-2026-math-db-discourse-framework-mathematical
67. eschrich-2024-cross-linguistic-semantic-grounding-dictionary
68. etezadi-2022-dadmatools-natural-language-processing-toolkit
69. eyal-2021-bootstrapping-relation-extractors-syntactic-search
70. fabo-2026-automatic-metrical-scansion-galician-poetry
71. farsi-2025-parsipy-nlp-toolkit-historical-persian
72. fedorova-2026-dhplt-large-scale-multilingual-diachronic
73. felippo-2024-genipapo-multigenre-dependency-parsing-brazilian
74. fenu-2025-demon-semeval-2025-task-10
75. ferreira-2021-enriching-e2e-dataset
76. ferreira-2025-framework-fine-grained-complexity-control
77. flint-2025-quantifying-phonosemantic-iconicity-distributionally-6
78. fort-2023-bigfoot-big-tech-detecting-out
79. francesco-2020-gul-le-ver-ghigliottinai-glove
80. gao-2026-exploring-topological-invariance-semantic-embeddings
81. gargova-2025-comparative-study-hyperbole-detection-methods
82. gargova-2026-multilingual-linguistic-analysis-human-vs
83. gemes-2021-tuw-inf-germeval2021-rule-based
84. gerardin-2021-classification-multilabel-de-concepts-medicaux
85. gessler-2023-syntactic-inductive-bias-transformer-language
86. gessler-2024-pronto-language-model-evaluations-859
87. giovannetti-2021-role-computational-lexicon-query-expansion
88. giraud-2026-beyond-single-words-mwe-identification
89. glocker-2022-hierarchical-multi-task-transformers-crosslingual
90. goel-2022-wolfies-semeval-2022-task-8
91. golde-2026-finerweb-datasets-artifacts-scalable-multilingual
92. gombert-2021-tuda-ccl-semeval-2021-task
93. gong-2025-augmented-close-reading-classical-latin
94. goodwin-2022-compositional-generalization-dependency-parsing
95. gosset-2021-extraction-automatique-de-relations-semantiques
96. govindarajan-2024-do-they-mean-us-interpreting
97. govindarajan-2026-dark-stormy-modeling-humor-sentences
98. gu-2025-improving-automatic-grammatical-error-annotation
99. guimaraes-2024-perfil-publico-automatic-generation-visualization
100. guo-2020-smartcitecon-implicit-citation-context-extraction

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-6/) · **7** · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-10/)

- [← previous Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-6/)
- [next → Who cites «Stanza: A Python Natural Language Processing Toolkit for Many Human Languages» · page 8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2020-qi-stanza-python-natural-language-processing-8/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
