• DocumentCode
    2966861
  • Title

    English-Hindi Transliteration by Applying Finite Rules to Data before Training Using Statistical Machine Translation

  • Author

    Halder, Mitali ; Tyagi, Anant Dev

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Inst. of Technol., Srinagar, India
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we have presented that by applying finite rules of transliteration to the data before training, the transliteration result get remarkably increased. The rules are applied to bilingual corpus of Indian Name Entities with source in English and target in Hindi (Devnagri) script. We have incorporated this concept to an existing machine translation system name Anusaaraka. The efficiency is increased by 29.1% compared to the system without applying finite rules before training.
  • Keywords
    language translation; natural language processing; Anusaaraka; Devnagri script; English-Hindi transliteration; Indian name entities; machine translation system; statistical machine translation; Accuracy; Computer science; Dictionaries; Error analysis; Training; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IT Convergence and Security (ICITCS), 2013 International Conference on
  • Conference_Location
    Macao
  • Type

    conf

  • DOI
    10.1109/ICITCS.2013.6717830
  • Filename
    6717830
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2966861