Automatic detection of natural phonological classes in Russian Sign Language

Moroz, George, Antonina Plaskovitskaya & Pavel Rudnev. 2018. “Automatic detection of natural phonological classes in Russian Sign Language.” Higher School of Economics Research Paper No. WP BRP 74/LNG/2018.

 download pdf

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.

If you like this, or have a question or a comment, then please  share or reply on Twitter, or  email me.

← Some difficulties deriving the positive polarity behaviour of plain disjunction in Russian: Remarks on Nicolae 2017 | Writing Archive | The Anaphor Agreement Effect is not about featural deficiency: Evidence from Avar →

about

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.

elsewhere

subscribe

To receive updates from this site, you can follow me on X at  @pavelrudnev, where I’ll update you if anything is posted.

search