Orthographic and Morphological Correspondences between Related Slavic Languages as a Base for Modeling of Mutual Intelligibility. - Andrea K. Fischer; Klara Jagrova; Irina Stenger; Tania Avgustinova; Dietrich Klakow; Roland Marti (LREC, 2016)

incom.py - A Toolbox for Calculating Linguistic Distances and Asymmetries between Related Languages. - Marius Mosbach; Irina Stenger; Tania Avgustinova; Dietrich Klakow (RANLP, 2019)

Language models, surprisal and fantasy in Slavic intercomprehension. - Klara Jagrova; Tania Avgustinova; Irina Stenger; Andrea K. Fischer (Comput. Speech Lang., 2019)

The INCOMSLAV Platform: Experimental Website with Integrated Methods for Measuring Linguistic Distances and Asymmetries in Receptive Multilingualism. - Irina Stenger; Klara Jagrova; Tania Avgustinova (CLLRD@LREC, 2020)

incom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages. - Marius Mosbach; Irina Stenger; Tania Avgustinova; Bernd Möbius; Dietrich Klakow (RANLP, 2021)

Modeling the Impact of Syntactic Distance and Surprisal on Cross-Slavic Text Comprehension. - Irina Stenger; Philip Georgis; Tania Avgustinova; Bernd Möbius; Dietrich Klakow (LREC, 2022)

Microsyntactic Unit Detection Using Word Embedding Models: Experiments on Slavic Languages. - Iuliia Zaitova; Irina Stenger; Tania Avgustinova (RANLP, 2023)

Cross-Linguistic Intelligibility of Non-Compositional Expressions in Spoken Context. - Iuliia Zaitova; Irina Stenger; Wei Xue; Tania Avgustinova; Bernd Möbius; Dietrich Klakow (INTERSPEECH, 2024)