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ualberta at TAC-KBP 2012: English and Cross-Lingual Entity Linking.

, , , , и . TAC, NIST, (2012)

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Grzegorz Podrygajlo

Differentiation of human teratocarcinoma cell line into motor neurons: investigation of cellular phenotype in vitro and in transplantation studies. TierH Hannover, (2009)

Grzegorz Bakuniak

Grzegorz Czaja

Grzegorz Popiolek

Grzegorz Kochaniewicz

 

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Cognates Can Improve Statistical Translation Models., , и . HLT-NAACL, The Association for Computational Linguistics, (2003)Automatic Generation of English Respellings., и . HLT-NAACL, стр. 634-643. The Association for Computational Linguistics, (2013)What Matters Most in Morphologically Segmented SMT Models?, , и . SSST@NAACL-HLT, стр. 65-73. Association for Computational Linguistics, (2015)Don't Trust GPT When Your Question Is Not In English., , , , и . CoRR, (2023)Efficient Sequence Labeling with Actor-Critic Training., , и . Canadian AI, том 11489 из Lecture Notes in Computer Science, стр. 466-471. Springer, (2019)Computing and Historical Phonology., , и . SIGMORPHON, стр. 1-5. Association for Computational Linguistics, (2007)10 Open Questions in Computational Morphonology.. SIGMORPHON/SIGFSM, стр. 64-68. Association for Computational Linguistics, (2014)Morphological Segmentation Can Improve Syllabification., , и . SIGMORPHON, стр. 99-103. Association for Computational Linguistics, (2016)Determining Recurrent Sound Correspondences by Inducing Translation Models.. COLING, (2002)Identification of Cognates and Recurrent Sound Correspondences in Word Lists.. Trait. Autom. des Langues, 50 (2): 201-235 (2009)