Flexible Parsing Architectures for NLP Applications
The requirements of different NLP applications have strong implications on the design and implementation of the related syntactic recognisers. In this paper, a fine-grained modular parser design framework is presented. Our aim is to reduce the design of a parsing processors to the composition of a pool of basic modules. Results over sample parsers and criteria for optimising coverage and accuracy are discussed.
KeywordsNoun Phrase Lexical Knowledge Annotate Corpus Translation Algorithm Parsing System
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