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CDGFr, un corpus en dépendances non-projectives pour le français.

, and . TALN, page 206-212. ATALA, (2015)

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Weakly Supervised POS Taggers Perform Poorly on Truly Low-Resource Languages., , and . AAAI, page 8066-8073. AAAI Press, (2020)Noisy Channel for Low Resource Grammatical Error Correction., , and . BEA@ACL, page 191-196. Association for Computational Linguistics, (2019)Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses., , , , and . EMNLP (1), page 8467-8478. Association for Computational Linguistics, (2020)DaNLP: An open-source toolkit for Danish Natural Language Processing., , , and . NoDaLiDa, page 460-466. Linköping University Electronic Press, Sweden, (2021)A Simple and Robust Approach to Detecting Subject-Verb Agreement Errors., , , , and . NAACL-HLT (1), page 2418-2427. Association for Computational Linguistics, (2019)Investigating NP-Chunking with Universal Dependencies for English.. UDW@EMNLP, page 85-90. Association for Computational Linguistics, (2018)DDisCo: A Discourse Coherence Dataset for Danish., , , and . LREC, page 2440-2445. European Language Resources Association, (2022)CDGFr, un corpus en dépendances non-projectives pour le français., and . TALN, page 206-212. ATALA, (2015)Apprentissage d'analyseur en dépendances cross-lingue par projection partielle de dépendances (Cross-lingual learning of dependency parsers from partially projected dependencies)., , , and . JEP-TALN-RECITAL (2), page 1-14. AFCP - ATALA, (2016)