| | 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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