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dkrMorph: A Syriac Morphological Analyzer
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
2011 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

This thesis proposes a method for automatic morphological analysis of Syriac - an under-resourced language for which there are no natural language processing tools such as morphological analyzers readily available. The proposed method uses a data-driven approach with automatically generated and weighted regular expression rules and patterns to cater for morphological attribute tagging and root- and lexeme derivation for dictionary linkage. The method is compared against a baseline, which it outperforms on all tests, and significantly outperforms for unknown words. When trained on all available training data, the analyzer achieves an accuracy of 95.53%.

Place, publisher, year, edition, pages
2011.
National Category
Social Sciences
Identifiers
URN: urn:nbn:se:uu:diva-154515OAI: oai:DiVA.org:uu-154515DiVA: diva2:421003
Subject / course
Information Systems
Educational program
Freestanding course
Uppsok
Technology
Supervisors
Available from: 2011-09-27 Created: 2011-06-07 Last updated: 2011-09-27Bibliographically approved

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