Simultaneous tokenization and part-of-speech tagging for Arabic without a morphological analyzer

Authors:
Seth Kulick
Affiliations:
University of Pennsylvania
Venue:
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Year:
2010

Citing 2
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Abstract

We describe an approach to simultaneous tokenization and part-of-speech tagging that is based on separating the closed and open-class items, and focusing on the likelihood of the possible stems of the openclass words. By encoding some basic linguistic information, the machine learning task is simplified, while achieving state-of-the-art tokenization results and competitive POS results, although with a reduced tag set and some evaluation difficulties.