Computational Representation of Russian Aspectual Morphology with a Focus on Perfective Prefixation

Author

Natalia Tyulina, The Graduate Center, City University of New YorkFollow

Date of Degree

9-2021

Document Type

Thesis

Degree Name

M.A.

Program

Linguistics

Advisor

Kyle Gorman

Subject Categories

Russian Linguistics

Keywords

Morphology, affixation, statistical analysis

Abstract

This work performs an empirical analysis of Russian aspectual morphology focusing on perfective derivation via prefixation. We present a number of computational experiments measuring productivity of morphological processes of prefixation that form perfective verbs from simple imperfective verbs. Several hypotheses related to the argument structure of perfective verbs vs. their prefixed derivatives are tested statistically. Furthermore, we investigate semantic relatedness by computing cosine similarities of unprefixed verbs vs. their prefixed versions. Finally, we analyze the correlation between productivity, frequency, argument structure and semantic similarity across both simple imperfective – prefixed perfective verb forms, and various perfectivizing verbal prefixes.

Recommended Citation

Tyulina, Natalia, "Computational Representation of Russian Aspectual Morphology with a Focus on Perfective Prefixation" (2021). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/4479