| | | 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 LevantineAzadeh 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 |
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http://lib.clisel.com/site/catalogue/53096
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