TY - GEN
T1 - Towards Learning Arabic Morphophonology
AU - Khalifa, Salam
AU - Kodner, Jordan
AU - Rambow, Owen
N1 - Publisher Copyright:
© 2022 Association for Computational Linguistics.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85152960660
M3 - Conference contribution
AN - SCOPUS:85152960660
T3 - WANLP 2022 - 7th Arabic Natural Language Processing - Proceedings of the Workshop
SP - 295
EP - 301
BT - WANLP 2022 - 7th Arabic Natural Language Processing - Proceedings of the Workshop
PB - Association for Computational Linguistics (ACL)
T2 - 7th Arabic Natural Language Processing Workshop, WANLP 2022 held with EMNLP 2022
Y2 - 8 December 2022
ER -