@inproceedings{5217ebd801274c8c9f92dab7b6dbd20d,
title = "Picking Up Where the Linguist Left Off: Mapping Morphology to Phonology through Learning the Residuals",
abstract = "Learning morphophonological mappings between the spoken form of a language and its underlying morphological structures is crucial for enriching resources for morphologically rich languages like Arabic. In this work, we focus on Egyptian Arabic as our case study and explore the integration of linguistic knowledge with a neural transformer model. Our approach involves learning to correct the residual errors from hand-crafted rules to predict the spoken form from a given underlying morphological representation. We demonstrate that using a minimal set of rules, we can effectively recover errors even in very low-resource settings.",
author = "Salam Khalifa and Abed Qaddoumi and Ellen Broselow and Owen Rambow",
note = "Publisher Copyright: {\textcopyright}2024 Association for Computational Linguistics.; 2nd Arabic Natural Language Processing Conference, ArabicNLP 2024 ; Conference date: 16-08-2024",
year = "2024",
language = "English",
series = "ArabicNLP 2024 - 2nd Arabic Natural Language Processing Conference, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "258--264",
editor = "Nizar Habash and Houda Bouamor and Ramy Eskander and Nadi Tomeh and Farha, \{Ibrahim Abu\} and Ahmed Abdelali and Samia Touileb and Injy Hamed and Yaser Onaizan and Bashar Alhafni and Wissam Antoun and Salam Khalifa and Hatem Haddad and Imed Zitouni and Badr AlKhamissi and Rawan Almatham and Khalil Mrini",
booktitle = "ArabicNLP 2024 - 2nd Arabic Natural Language Processing Conference, Proceedings of the Conference",
}