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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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The INCOMSLAV project, , , , and . Seminar in formal linguistics at ÚFAL, Prague, Charles University, (2014)incom.py - A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages., , , and . RANLP, page 810-818. INCOMA Ltd., (2019)incom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages., , , , and . RANLP, page 968-977. INCOMA Ltd., (2021)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)The Empirical Basis of Slavic Intercomprehension, , , and . REMU, Joensuu, Finland, (2015)Microsyntactic Unit Detection Using Word Embedding Models: Experiments on Slavic Languages., , and . RANLP, page 1265-1273. INCOMA Ltd., Shoumen, Bulgaria, (2023)Modeling the Impact of Syntactic Distance and Surprisal on Cross-Slavic Text Comprehension., , , , and . LREC, page 7368-7376. European Language Resources Association, (2022)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)