Arabic Parser Evaluation and Improvements

dc.Location2016 T 58.6 E99
dc.SupervisorProfessor Khaled Shaalan
dc.contributor.authorEzzeldin, Khaled Mohamed Khaled
dc.date.accessioned2017-08-15T08:47:25Z
dc.date.available2017-08-15T08:47:25Z
dc.date.issued2016-06
dc.description.abstractThis thesis focuses on comparing between two famous Arabic parsers Stanford Parser and Bikel parser using Arabic Treebank (ATB) for model training and testing and for this purpose we created a software that enables us to convert the ATB format to grammar format, convert the Arabic Morphological tags to Penn tags, and evaluate the parsers output by calculating the Precision, Recall, F-Score, and Tag Accuracy. We also modify Bikel Parser to use the Penn tags in training to improve the Precision, Recall, F-Score, and Tag Accuracy results from the parse output.en_US
dc.identifier.other100024
dc.identifier.urihttp://bspace.buid.ac.ae/handle/1234/1007
dc.language.isoenen_US
dc.publisherThe British University in Dubai (BUiD)en_US
dc.subjectArabic parseren_US
dc.subjectStanford Parseren_US
dc.subjectBikel parseren_US
dc.subjectArabic Treebank (ATB)en_US
dc.titleArabic Parser Evaluation and Improvementsen_US
dc.typeDissertationen_US
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