Automatic Detection Of Natural Phonological Classes In Russian Sign Language

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-bin...

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Bibliographic Details
Published inIDEAS Working Paper Series from RePEc
Main Authors Moroz, George, Plaskovitskaya, Antonina, Rudnev, Pavel
Format Paper
LanguageEnglish
Published St. Louis Federal Reserve Bank of St. Louis 01.01.2018
Subjects
Phonology
Sign language
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Summary: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.