Efficient Parsing Methods for NLP Applications and Augmenting Generic Computer Language Design
Parsing is a major activity of all Natural Language Processing (NLP) systems. Different strategies of parsing are used according to the NLP application in hand. A broad classification of parsers is due to two types mainly used. They are "Top-down" and "Bottom-up" methods, of which Bottom-up is the choice of selection for most applications. Every method is superior in the way how it quickly builds data abstraction tree and table of parsing. Yet, ambiguities, the result in misinterpretation of facts which lead way to improper computational process by an NLP system is to be addressed to by any parser.