• DocumentCode
    3110426
  • Title

    English to Bangla Translation in Structural Way Using Neural Network

  • Author

    Hossain, Md Mokammal ; Ahmed, Khandakar Entenam Unayes ; Uddin, Ahmed Rakib

  • Author_Institution
    Comput. Sci. & Eng., Shahjalal Univ. of Sci. & Technol., Sylhet, Bangladesh
  • fYear
    2009
  • fDate
    16-18 Dec. 2009
  • Firstpage
    255
  • Lastpage
    259
  • Abstract
    In the field of Computer Science, neural networks are being implemented to solve problems more reliably and accurately. To serve artificial intelligence, computer program using neural can be one of the effective solution. So a program can be learned, trained up and after a certain stage it will able to take applicable decisions. This makes our works performing in reachable and well accepted dynamically. Natural language translating, by using traditional method is irked, time taking & quite undone. Neural network has a vast opportunity in this field as it can learn by itself and after a certain point of training it will act as a perfect solution for natural language translating. In this paper, we have given a new approach for translating English sentence to Bengali using neural network.
  • Keywords
    language translation; learning (artificial intelligence); natural language processing; neural nets; English-Bangla translation; artificial intelligence; computer program; natural language translating; neural network; Artificial intelligence; Artificial neural networks; Computer network reliability; Computer science; Feedforward neural networks; Hopfield neural networks; Natural languages; Neural networks; Recurrent neural networks; Reliability engineering; FF- FeedForward; Neural Network; SS-Sentence structure; connection weight; input pattern; output pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Multimedia Technology, 2009. ICIMT '09. International Conference on
  • Conference_Location
    Jeju Island
  • Print_ISBN
    978-0-7695-3922-5
  • Type

    conf

  • DOI
    10.1109/ICIMT.2009.84
  • Filename
    5381205