• DocumentCode
    230984
  • Title

    An empirical study on English to Hindi E-contents Machine Translation through multi engines

  • Author

    Goswami, Pankaj K. ; Dwivedi, Sanjay K.

  • Author_Institution
    Amity Inst. of Inf. Technol., Amity Univ., Lucknow, India
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Empirical study presented here about the comparative view of translations through freely available English to Hindi machine translation engines. The selected Machine Translation engines are compared for computer science related text domain. The objective is to present the comparison amongst eight selected machine translation engines based on various comparison criteria. Three different English source text of computer science domain have randomly picked and translated those with eight selected engines. The outputs produced by different selected engines are compared on the basis of comparison criteria. The best fluent translation has been judged by expert human translator and assumed this translation as required quality translation of respective source text. This empirical study will be helpful in designing of Multi Engine Machine Translation architecture for domain specific English to Hindi language pair.
  • Keywords
    language translation; natural language processing; English source text; English to Hindi e-contents machine translation; computer science domain; expert human translator; machine translation engines; multiengine machine translation architecture; Dictionaries; Educational institutions; Engines; Google; Linux; Measurement; Example Based Machine Translation; Machine Translation; Multi Engine Machine Translation; Rule Based Machine Translation; Statistical Machine Translation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2014 3rd International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-6895-4
  • Type

    conf

  • DOI
    10.1109/ICRITO.2014.7014735
  • Filename
    7014735