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Modeling the Impact of Syntactic Distance and Surprisal on Cross-Slavic Text Comprehension.

, , , , and . LREC, page 7368-7376. European Language Resources Association, (2022)

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The Effect of Surprisal on Articulatory Gestures in Polish Consonant-to-Vowel Transitions: A Pilot EMA Study., , , , and . ITG Conference on Speech Communication, page 1-5. VDE, (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)incom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages., , , , and . RANLP, page 968-977. INCOMA Ltd., (2021)Towards a Typology of Microsyntactic Constructions., and . Europhras, volume 11755 of Lecture Notes in Computer Science, page 15-30. Springer, (2019)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)Models for Mutual Intelligibility, , , , , and . Data Mining  and its Use and Usability for Linguistic Analysis, Saarbrücken, Universität des Saarlandes, (2015)Syntactic Description Of Free Word Order Languages., and . COLING, page 311-313. (1990)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)Cross-Domain Adaptation of Spoken Language Identification for Related Languages: The Curious Case of Slavic Languages., , , and . INTERSPEECH, page 477-481. ISCA, (2020)