Improving the Efficiency of a Natural Language Processor.
NAVAL POSTGRADUATE SCHOOL MONTEREY CALIF
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NLP is a processor being developed at the Naval Postgraduate School for research in natural language man-machine communication. With this system text can be translated into an entity-attribute-value information structure, and such a structure can be translated into text. These two processes, called decoding and encoding, respectively, are specified by writing rules in a language designed for this system. The thesis reports on a scheme for storing these rules in the computer in a compact fashion, and describes the related routines. The savings in core storage and CPU time achieved by using this scheme are given for a particular application of NLP. Author
- Computer Programming and Software