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# Who cites «UDPipe: Trainable Pipeline for Processing CoNLL-U Files Performing Tokenization, Morphological Analysis, POS Tagging and Parsing» · page 2

128 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-2016-straka-udpipe-trainable-pipeline-processing-conll/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2016-straka-udpipe-trainable-pipeline-processing-conll/) · **2**

1. braud-2017-is-writing-style-predictive-scientific
2. cassotti-2021-emerging-trends-gender-specific-occupational
3. cinkova-2020-stylometry-bilingual-setup
4. coneglian-2023-funcionalidade-dos-adjetivos-em-dois
5. corbetta-2024-rise-fall-dependency-parsing-dante
6. diaf-2023-communityfish-poisson-based-document-scaling
7. diaf-2024-cliquecorex-self-supervised-clique-based
8. falenska-2018-moving-tiger-beyond-sentence-level
9. ghizzota-2025-enhancing-linguistic-resources-diachronic-analysis
10. ghizzota-2025-meaning-beatus-disambiguating-latin-contemporary
11. hildebrand-2020-recognizing-sentence-level-logical-document
12. hurtado-2022-bilinmid-spanish-english-corpus-us
13. irimia-2026-corola-version-2-0-corpus
14. iruskieta-2019-multilingual-segmentation-based-neural-networks
15. kohita-2018-dynamic-feature-selection-attention-incremental
16. lopes-2024-syntactic-parsing-where-are-we
17. lorusso-2019-asymmetries-extraction-nominal-copular-sentences
18. naguib-2022-romanciers-et-romancieres-du-xixeme
19. nunez-2018-analyse-morpho-syntaxique-en-presence
20. pilan-2020-building-norwegian-lexical-resource-medical
21. puccinelli-2017-pos-taggers-wild-case-study
22. rosa-2017-error-analysis-cross-lingual-tagging
23. scalercio-2023-proposta-e-avaliacao-linguistica-de
24. silva-2023-processamento-da-linguagem-natural-e
25. souza-2024-nlp-approach-impersonal-se-brazilian
26. steingrimsson-2020-facilitating-corpus-usage-making-icelandic
27. tiedemann-2016-tagging-ingush-language-technology-low
28. wang-2018-platform-providing-nlp-system-deep

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