Development of generation special short articles for the given topic

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    The subject area and reviewed various sources of information relevant to a given topic will be considered. For implementation of algorithm of generation of the texts was chosen the C# language, as it has a large number of advantages compared to other programming languages, and it also has many libraries which it would be convenient to use in solving a given task. The text presents the structure of the generated article and the scheme of the developed algorithm for the application. Also it describes the structures that are used to implement such applications. The implementation of algorithm of generation of short articles on a given topic in English was discussed. Familiarization with the application was conducted and the results of generation were shown.  It was shown that the generated articles have a good percentage of the plagiarism by experimental studies. It was shown that the articles would not be repeated even more than 50 generations, as a result of tests. Also was shown the implementation of the program on C# language, it’s interface, design generation and design of the English translation.

     

     


  • Keywords


    Intelligent Systems, Translations, Scientific Articles, Generated Text, the Uniqueness of the Text.

  • References


      [1] S.D. Kulik, Model for evaluating the effectiveness of search operations, Journal of ICT Research and Applications (ITB Journal of Information and Communication Technology), Vol.9, No.2, (2015) 177-196.

      [2] J. R. Saini, J. C. Modh, GIdTra: A dictionary-based MTS for translating Gujarati bigram idioms to English, Conference Paper published 2016 in 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC)
      Waknaghat, India 22-24 December 2016, Department of CSE & IT Jaypee University of Information Technology (2016) 191-196.

      [3] S.D. Kulik, Neural network model of artificial intelligence for handwriting recognition, Journal of Theoretical and Applied
      Information Technology, Vol.73, No.2, (2015) 202-211.

      [4] A. I. Galushkin, Neural Networks Theory, Springer Berlin Heidelberg, 2007.

      [5] S. Kulik, Factographic information retrieval for communication in multicultural society, Procedia - Social and Behavioral Sciences (International Conference on Communication in Multicultural Society, CMSC 2015, 6-8 December 2015, Moscow, Russian Federation), Vol. 236 , (2016) 29-33.

      [6] https://yandex.ru/referats/ [Accessed on 12.04.2017].

      [7] Shildt G., С# 7.0 Full guide. — London, Atlas Press, 2015.

      [8] https://www.antiplagiat.ru/ [Accessed on 20.04.2017].

      [9] Archer T., C# basics. — Manchester, Carcanet Press, 2015.

      [10] Wotson C., C# Language. — Amsterdam, Holland Park Press, 2016.

      [11] Troelsen A., Program Library. — London, Longman, 2016


 

View

Download

Article ID: 11909
 
DOI: 10.14419/ijet.v7i2.23.11909




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.