Semi-supervised Induction of Morpheme Boundaries in Czech Using a Word-Formation Network

Author:

Bodnár JanORCID,Žabokrtský ZdeněkORCID,Ševčí­ková MagdaORCID

Publisher

Springer International Publishing

Reference16 articles.

1. Goldsmith, J.A., Lee, J.L., Xanthos, A.: Computational learning of morphology. Ann. Rev. Linguist. 3, 85–106 (2017)

2. Grönroos, S.A., Virpioja, S., Smit, P., Kurimo, M.: Morfessor FlatCat: an HMM-based method for unsupervised and semi-supervised learning of morphology. In: Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers. pp. 1177–1185. Dublin City University and Association for Computational Linguistics, Dublin, August 2014

3. Hajič, J., Hlaváčová, J.: MorfFlex CZ. LINDAT/CLARIN digital library at Institute of Formal and Applied Linguistics, Charles University in Prague (2016). http://hdl.handle.net/11234/1-1673

4. Křen, M., et al.: SYN2015: representative corpus of written Czech (2015). http://hdl.handle.net/11234/1-1593, LINDAT/CLARIAH-CZ digital library at the Institute of Formal and Applied Linguistics (ÚFAL). Faculty of Mathematics and Physics, Charles University

5. Lecture Notes in Computer Science;M Kurimo,2010

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