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July 24, 2026
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Automatic detection of natural phonological classes in Russian Sign Language

NRU HSE , 2018. No. 74.
Moroz G., Plaskovitskaya A. A., Rudnev P.
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.
Priority areas: humanitarian
Language: English
Full text
Text on another site
Keywords: phonologyRussian Sign Languagesign languagesphonological featuresMultiple Correspondence Analysis
Publication based on the results of:
Эффекты модальности в синтаксисе русского жестового языка (2018)
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