Automatic detection of natural phonological classes in Russian Sign Language

(with George Moroz and Antonina Plaskovitskaya) “Automatic detection of natural phonological classes in Russian Sign Language.” Higher School of Economics Research Paper No. WP BRP 74/LNG/2018.

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The present paper applies Multiple Correspondence Analysis to test the validity of an existing theoretical model of the phonological system of Russian Sign Language (RSL). We show that comparing the importance of phonological features using ratio plots and MCA is a promising way of revealing non-binary oppositions in phonological systems of human languages irrespective of modality.

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I’m Pavel Rudnev, and this is my personal website. I’m a research fellow and lecturer in linguistics at HSE University in Moscow. My main area of interest is syntax and its interfaces with sound and meaning. In particular, my current research revolves around the structure of nominal expressions, agreement, case and verbal morphosyntax in East Caucasian languages, and the syntax-to-phonology mapping in Russian Sign Language.

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