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Orthographic and Morphological Correspondences between Related Slavic Languages as a Base for Modeling of Mutual Intelligibility.

, , , , , and . LREC, European Language Resources Association (ELRA), (2016)

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Language models, surprisal and fantasy in Slavic intercomprehension., , , and . Comput. Speech Lang., (2019)The INCOMSLAV project, , , , and . Seminar in formal linguistics at ÚFAL, Prague, Charles University, (2014)Models for Mutual Intelligibility, , , , , and . Data Mining  and its Use and Usability for Linguistic Analysis, Saarbrücken, Universität des Saarlandes, (2015)The INCOMSLAV Platform: Experimental Website with Integrated Methods for Measuring Linguistic Distances and Asymmetries in Receptive Multilingualism., , and . CLLRD@LREC, page 40-48. European Language Resources Association, (2020)An Orthography Transformation Experiment with Czech-Polish and Bulgarian-Russian Parallel Word Sets. NLPCS, Krakow, Poland, (2015)The Empirical Basis of Slavic Intercomprehension, , , and . REMU, Joensuu, Finland, (2015)An Orthography Transformation Experiment with Czech-Polish and Bulgarian-Russian Parallel Word Sets, , , , , and . (2015)Orthographic and Morphological Correspondences between Related Slavic Languages as a Base for Modeling of Mutual Intelligibility., , , , , and . LREC, European Language Resources Association (ELRA), (2016)Intelligibility of Highly Predictable Polish Target Words in Sentences Presented to Czech Readers., and . CICLing (1), volume 13451 of Lecture Notes in Computer Science, page 110-125. Springer, (2019)