Title
Hybrid LongDistance Functional Dependency Parsing: A hybrid, deepsyntactic Dependency Grammar parser for English, combining st,Used
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We propose a robust, hybrid, deepsyntactic dependencybased parser and present its implementation and evaluation. The parser is designed to keep searchspaces small without compromising much on the linguistic performance or adequacy. The resulting parser is deepsyntactic like a formal grammarbased parser while mostly contextfree and fast enough for largescale application. It combines successful current approaches into a hybrid, modular and open model. We suggest, implement, and evaluate a parsing architecture that is fast, robust and efficient enough to allow users to do broadcoverage parsing of unrestricted texts from varied domains. We present a probability model and a combination between a rulebased competence grammar and a statistical lexicalized performance disambiguation model. We treat longdistance dependencies with postprocessing and mild contextsensitivity. We conclude that labelled Dependency Grammar is sufficiently expressive for linguistically adequate parsing. We argue that our parser covers the middle ground between statistical parsing and formal grammarbased parsing. The parser has competitive performance and has been applied widely.
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