Skip to content
conftrace_
2022 EMNLP EMNLP 2022

Towards Learning Arabic Morphophonology

AbstractOne 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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Science and Interdisciplinary

More from EMNLP 2022

All EMNLP 2022 papers →