Year: 2022
Type: conference-paper
Abstract: One core challenge facing morphological inflection systems is capturing language-specific morphophonological changes.This is particularly true of languages like Arabic which are morphologically complex.In this paper, we learn explicit morphophonological rules from morphologically annotated Egyptian Arabic and corresponding surface forms.These rules are human-interpretable, capture known morphophonological phenomena in the language, and are generalizable to unseen forms.
Authors: Salam Khalifa, Jordan Kodner, Owen Rambow
Institution: Stony Brook University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4385572974