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This thesis presents a methodology for automatic syntactic analysis of real-world text using a corpus-oriented approach to develop lexicalized grammars based on Head-Driven Phrase Structure Grammar (HPSG). It introduces the feature forest model to address the challenges of probabilistic modeling in complex data structures, enabling effective parsing of naturally occurring sentences. Experimental results demonstrate high coverage and accuracy of the developed HPSG parser, marking a significant advancement in
- Author
- omed.sadeq
- Language
- EN