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Number 7

Processing Natural Language Requirement to Extract Basic Elements of a Class

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  • International Journal of Applied Information Systems
  • Foundation of Computer Science (FCS), NY, USA
  • Volume 3 - Number 7
  • Year of Publication: 2012
  • Authors: Poonam R. Kothari
  • 10.5120/ijais12-450596
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  • Poonam R. Kothari 2012. Processing Natural Language Requirement to Extract Basic Elements of a Class. International Journal of Applied Information Systems. 3, 7 (August 2012), 39-40. DOI=http://dx.doi.org/10.5120/ijais450596 
  • @article{10.5120/ijais2017451568,
author = {Poonam R. Kothari},
title = {Processing Natural Language Requirement to Extract Basic Elements of a Class},
journal = {International Journal of Applied Information Systems},
issue_date = {August 2012},
volume = {3},
number = {},
month = {August},
year = {2012},
issn = {},
pages = {39-40},
numpages = {},
url = {/archives/volume3/number7/246-0596},
doi = { 10.5120/ijais12-450596},
publisher = { xA9 2010 by IJAIS Journal},
address = {}
}

  • %1 450596
%A Poonam R.  Kothari
%T Processing Natural Language Requirement to Extract Basic Elements of a Class
%J International Journal of Applied Information Systems
%@ 
%V 3
%N 
%P 39-40
%D 2012
%I  xA9 2010 by IJAIS Journal

Abstract

This paper presents the efficient way to obtain basic elements of a class diagram from natural language (NL) requirements. User provides the requirements in simple English in paragraph and the designed tool i. e. NLPC (Natural language Processing for Class) applies natural language processing (NLP) methods to analyze the given input. NL text is semantically analyzed to obtain classes, data members and member functions. NLPC helps to fill the gap between the informal natural language used to describe problems and the formal modeling languages used to specify software solutions. Input to this tool is clearly specified user requirement. With correct inputs, NLPC undergoes stages like Preprocessing, Part of Speech (POS) Tagging, Class Identification, Attribute and Function identification and then plotting the classes.

References

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Keywords

Natural Language (NL),Natural Language Processing (NLP), Part of Speech (POS) tagging

Index Terms

Computer Science
Information Sciences