@inproceedings{ca4ec8ee2b1c4644bef173cc7baa6a54,
title = "Morphological analysis and disambiguation for Gulf Arabic: The interplay between resources and methods",
abstract = "In this paper we present the first full morphological analysis and disambiguation system for Gulf Arabic. We use an existing state-of-the-art morphological disambiguation system to investigate the effects of different data sizes and different combinations of morphological analyzers for Modern Standard Arabic, Egyptian Arabic, and Gulf Arabic. We find that in very low settings, morphological analyzers help boost the performance of the full morphological disambiguation task. However, as the size of resources increase, the value of the morphological analyzers decreases.",
keywords = "Disambiguation, Gulf Arabic, Morphology",
author = "Salam Khalifa and Nasser Zalmout and Nizar Habash",
note = "Funding Information: We would like to thank Ramy Eskander for help using the paradigm completion tool. The second author was supported by the New York University Abu Dhabi Global PhD Student Fellowship program. We also gratefully acknowledge the support and resources from the High Performance Computing Center at New York University Abu Dhabi. Publisher Copyright: {\textcopyright} European Language Resources Association (ELRA), licensed under CC-BY-NC",
year = "2020",
language = "English (US)",
isbn = "9791095546344",
series = "LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings",
publisher = "European Language Resources Association (ELRA)",
pages = "3895--3904",
editor = "Nicoletta Calzolari and Frederic Bechet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Helene Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis",
booktitle = "LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings",
}