Part of Speech tagging of Levantine

منو

" Part of Speech tagging of Levantine "
Azadeh Monirabbassi G. W. L. Cottrell, Roger

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	53096
Doc. No	:	TL23050
Call number	:	‭1459900‬
Main Entry	:	Azadeh Monirabbassi
Title & Author	:	Part of Speech tagging of Levantine\ Azadeh Monirabbassi
College	:	University of California, San Diego
Date	:	2008
Degree	:	M.S.
student score	:	2008
Page No	:	50
Abstract	:	The goal for this project is to explore strategies in adapting a Part of Speech (POS) tagger that was trained on Modern Standard Arabic sentences for tagging Levantine sentences, a dialect of Modern Standard Arabic, leveraged by methods of morphological analysis. I propose a tagging model that supports an explicit representation of the root-template patterns of Arabic. I will analyze the functionality and performance of the algorithms, and will compare the results. In leveraging the MSA POS tagger for tagging Levantine data, I achieved a peak accuracy of 73.28% which is 6% higher than the baseline for a standard Hidden Markov Model based tagger.
Subject	:	Applied sciences; Arabic; Computational linguistics; Linguistics; Machine learning; Natural language processing; Artificial intelligence; Computer science; 0984:Computer science; 0800:Artificial intelligence
Added Entry	:	G. W. L. Cottrell, Roger
Added Entry	:	University of California, San Diego