Intelligent Searching System For Software Tutorials Using Natural Language Processing Techniques

Ho , Shi Nee (2005) Intelligent Searching System For Software Tutorials Using Natural Language Processing Techniques. Project Report. UTeM, Melaka, Malaysia. (Submitted)

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Abstract

This final year project entitled with Intelligent Searching System For Software Tutorials Using Natural Language Processing Techniques (ISS) is developed from scratch by an undergraduate starting from the preliminary process to implementation phase. The ISS is designed to search software tutorials stored in local machine, disk or Internet. It adopts the natural language processing technique to parse user query. As most searching engines employ the keyword matching techniques, the ISS build a simple parser based on bottom-up approach to tokenize, categorize and find the constituents of a sentence. The understanding of the structure of sentence enables the program to extract the keyword from users. As the program does not build its own search engine, the program parses the snippet (a brief description of a document) from Google Search Engine and highlights the relevant documents. The program uses some simple grammar rules that are suitable for the use of the program.

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