Classifying Natural Language Text as Controlled and Uncontrolled for UML Diagrams

Abstract

Natural language text fall within the category of Controlled and Uncontrolled Natural Language. In this paper, an algorithm is presented to show that a given language text is controlled or uncontrolled. The parameters and framework is provided for UML diagram's repository. The parameter for controlled and uncontrolled languages is provided.

Authors and Affiliations

Nakul Sharma, Prasanth Yalla

Keywords

Related Articles

The User Behavior Analysis Based on Text Messages Using Parafac and Block Term Decomposition

Tensor decompositions represent a start for big data analysis and a start in reduction of dimensionality, object detection, clustering and so on. This paper presents a method to study the behavior of users in the online...

An Analysis of Information Technology on Data Processing by using Cobit Framework

Information technology and processes is inter connected, directing and controlling the company in achieving corporate goals through value-added and balancing the risks and benefits of information technology. This study i...

Academic Emotions Affected by Robot Eye Color: An Investigation of Manipulability and Individual-Adaptability

We investigate whether academic emotions are affected by the color of a robot’s eyes in lecture behaviors. In conventional human-robot interaction research on robot lecturers, the emphasis has been on robots assisting or...

Development of Fire Fighting Robot (QRob)

Fire incident is a disaster that can potentially cause the loss of life, property damage and permanent disability to the affected victim. They can also suffer from prolonged psychological and trauma. Fire fighters are pr...

Simulation of a WiMAX network to evaluate the performance of MAC IEEE 802.16 during the IR phase of Network Entry and Initialization

Pervasive Computing is also called as Ubiquitous Computing, which means “being present everywhere at once” or “constantly encountered”. The main idea behind making these pervasive computing systems is that these systems...

Download PDF file
  • EP ID EP259609
  • DOI 10.14569/IJACSA.2017.080632
  • Views 77
  • Downloads 0

How To Cite

Nakul Sharma, Prasanth Yalla (2017). Classifying Natural Language Text as Controlled and Uncontrolled for UML Diagrams. International Journal of Advanced Computer Science & Applications, 8(6), 253-257. https://europub.co.uk/articles/-A-259609