50 AUTOMATIC DOMAIN SPECIFIC TERMINOLOGY EXTRACTIONUSINGA DECISIONSUPPORTSYSTEM

ImranSarwar Bajwa · 2006

Speech languages orNatural languages contents aremajor tools ofcommunication. Thisresearch paperpresents a natural language processing based automated system for understanding speech language text. A newrulebased modelispresented foranalyzing thenatural languages and extracting therelative meanings fromthegiven text. User writes thenatural language scenario insimple English ina fewparagraphs andthedesigned system hasanobvious capability ofanalyzing thegiven script bytheuser. After composite analysis and extraction of associated information, thedesigned systemgivesparticular meanings toanassortment ofspeech language text onthe basis ofitscontext. Thedesigned system usesstandard speech language rules thatareclearly defined forall speech languages asEnglish, Urdu,Chinese, Arabic, French, ... etc. Thedesigned system provides aquick and reliable waytocomprehend speech language context and generates respective meanings. Theapplication withsuch

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