• DocumentCode
    1829225
  • Title

    Theoretical based approach to English to Sinhala machine translation

  • Author

    Hettige, B. ; Karunananda, A.S.

  • Author_Institution
    Dept. of Stat. & Comput. Sci., Univ. of Sri Jayewardenepura, Nugegoda, Sri Lanka
  • fYear
    2009
  • fDate
    28-31 Dec. 2009
  • Firstpage
    380
  • Lastpage
    385
  • Abstract
    Machine translation is a log felt need of the countries those who use English as a second language. Due to inherent complexity of natural languages, most of machine translation systems adopt rather ad-hoc strategies such as word level translation without concerning a proper theoretical basis. This has been a major reason for why the developments in natural language processing could not achieve as expected. This paper presents a theoretical-based approach to English-Sinhala machine translation through the concept of Varanagema (conjugation) in Sinhala Language. The theory of Varanagema in Sinhala language handles major language primitives including noun, verbs and prepositions. The concept of Varanagema also drastically reduces the number of word forms to be stored in the dictionaries of the machine translation system. The design, implementation and results of test versions of English-Sinhala machine translation system has been presented in the paper.
  • Keywords
    dictionaries; language translation; natural language processing; English to Sinhala machine translation; Sinhala Language; Varanagema; machine translation system dictionary; natural language processing; theoretical based approach; Computer industry; Computer science; Dictionaries; Information systems; Information technology; Natural language processing; Natural languages; Prototypes; Statistics; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems (ICIIS), 2009 International Conference on
  • Conference_Location
    Sri Lanka
  • Print_ISBN
    978-1-4244-4836-4
  • Electronic_ISBN
    978-1-4244-4837-1
  • Type

    conf

  • DOI
    10.1109/ICIINFS.2009.5429832
  • Filename
    5429832