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Automatic Domain Specific Terminology Extraction using a Decision Support System

Speech languages or natural languages contents are major tools of communication. This research paper presents a natural language processing based automated system for understanding speech language text. A new rule based model is presented for analyzing the natural languages and extracting the relative meanings from the given text. User writes the natural language scenario in simple English in a few paragraphs and the designed system has an obvious capability of analyzing the given script by the user. After composite analysis and extraction of associated information, the designed system gives particular meanings to an assortment of speech language text on the basis of its context. The designed system uses standard speech language rules that are clearly defined for all speech languages as English, Urdu, Chinese, Arabic, French, ...etc. The designed system provides a quick and reliable way to comprehend speech language context and generates respective meanings. The application with such abilities can be more intelligent and pertinent specifically for the user to save the time.