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Acta Linguistica Academica
Authors: Judit Ács, Katalin Pajkossy, and András Kornai

We investigate the digital vitality of Uralic languages and dialects, and discuss how existing approaches to language revitalization relate to this model.

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Shieber . 2007 . Machine learning theory and practice as a source of insight into universal grammar . Journal of Linguistics 43 . 393 – 427 . Lasnik , Howard . 2000

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Machine Learning Research Vol. 16 . 3905 – 3909 . http://jmlr.org/papers/v16/hothorn15a.html Hothorn , T. & Zeileis , A. 2016 . Package ‘Partykit’: CRAN . https

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annual workshop on computational learning theory . New York 1992, 144–152. 23 ZHANG, Y. – JIN, R. – ZHOU, Z.-H. : Understanding bag-of-words model: a statistical framework. International journal of machine learning and cybernetics 1 (2010) 43–52.

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.1007/s11525-018-9335-1 Breiman , L. 2001 . Random forests . Machine learning 45 ( 1 ). 5 – 32 . 10.1023/A:1010933404324 Caramazza , Alfonso and Michele Miozzo . 1997 . The relation between syntactic and phonological knowledge in lexical

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. Machine Learning Vol. 34. Nos 1–3. 43–69. Dagan I. Similarity-based Models of Word Co-occurrence Probabilities Machine Learning

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