From Part of Speech Tagging to Memory-based Deep Syntactic Analysis
نویسنده
چکیده
This paper presents a robust system for deep syntactic parsing of unrestricted French. This system uses techniques from Part-of-Speech tagging in order to build a constituent structure and uses other techniques from dependency grammar in an original framework of memories in order to build a functional structure. The two structures are build simultaneously by two interacting processes. The processes share the same aim, that is, to recover e ciently and reliably syntactic information with no explicit expectation on text structure.
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