Dissertations, Theses, and Capstone Projects
Date of Degree
2-2024
Document Type
Thesis
Degree Name
M.A.
Program
Linguistics
Advisor
Kyle Gorman
Subject Categories
Computational Linguistics
Keywords
defectivity, defectiveness, paradigm gaps, morphological analyzer, BERT, multi-task learning
Abstract
The contributions of this thesis are two-fold. First, this thesis presents UDTube, an easily usable software developed to perform morphological analysis in a multi-task fashion. This work shows the strong performance of UDTube versus the current state-of-the-art, UDPipe, across eight languages, primarily in the annotation of morphological features. The second contribution of this thesis is a exploration into the study of defectivity. UDTube is used to annotate a large amount of data in Greek and Russian which is ultimately used to investigate the plausibility of Indirect Negative Evidence (INE), a popular approach to the acquisition of morphological defectivity. The reported findings raise a challenge to INE.
Recommended Citation
Yakubov, Daniel, "How Do We Learn What We Cannot Say?" (2024). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/5622