Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features (2007)
| Citations: | 6 - 2 self |
BibTeX
@MISC{Habash07determiningcase,
author = {Nizar Habash and Ryan Gabbard and Owen Rambow and Seth Kulick and Mitch Marcus},
title = {Determining Case in Arabic: Learning Complex Linguistic Behavior Requires Complex Linguistic Features},
year = {2007}
}
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Abstract
This paper discusses automatic determination of case in Arabic. This task is a major source of errors in full diacritization of Arabic. We use a gold-standard syntactic tree, and obtain an error rate of about 4.2%, with a machine learning based system outperforming a system using hand-written rules. A careful error analysis suggests that when we account for annotation errors in the gold standard, the error rate drops to 0.8%, with the hand-written rules outperforming the machine learning-based system.
Citations
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| 15 | Modern Arabic: Structures, Functions, and Varieties - Holes - 2004 |
| 11 | Automatic Diacritization of Arabic for Acoustic Modeling in Speech Recognition - Vergyri, Kirchhoff - 2004 |
| 6 | The Other Arabic Treebank: Prague Dependencies and Functions - Smrž, Hajič - 2006 |
