Stammdaten

Titel: Bilingual Machine Translation System Between Hindi and Sanskrit Languages
Untertitel:
Kurzfassung:

Machine translation (MT) is increasingly becoming popular today as it reduces a great deal of efforts when it comes to the task of translation from one language to other. Not only is it time saving, but secure and cost-effective in the long run. A lot of work has been done in the field of MT lately. Various machine translation systems (MTS) have been developed for numerous languages. Sanskrit is one of the oldest languages in the world and is still in existence. There is loads of literary, scientific and mathematical work written in Sanskrit during ancient times. Despite of its important part in Indian culture and history, not much work has been done for translation to or from Sanskrit language. This proposed work is an effort to bridge the language gap between Sanskrit and Hindi, one of the most widely spoken languages of the world. The idea is to develop an MTS which will serve as a tool to perform two-way translation between Hindi and Sanskrit language. The system once developed can be used for learning and understanding the grammar and structure of both the involved languages.

Schlagworte: Machine translation system, Bilingual translation, Bilateral MT, Natural language processing, Hindi translation, Sanskrit translation
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 17.09.2019 (Online)
Erschienen in: Proceedings of the 3rd International Conference On Advanced Informatics For Computing Research
Proceedings of the 3rd International Conference On Advanced Informatics For Computing Research
zur Publikation
 ( Springer Singapore; A. Luhach, D. Jat, K. Hawari, X. Gao, P. Lingras )
Titel der Serie: Communications in Computer and Information Science
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 312 - 321

Versionen

Keine Version vorhanden
Erscheinungsdatum: 17.09.2019
ISBN (e-book):
  • 978-981-15-0108-1
  • 978-981-15-0107-4
eISSN: -
DOI: http://dx.doi.org/10.1007/978-981-15-0108-1_29
Homepage: https://link.springer.com/chapter/10.1007%2F978-981-15-0108-1_29
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 202022 - Informationstechnik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Distributed Multimedia Systems

Kooperationen

Organisation Adresse
Lovely Professional University
Jalandhar - Delhi G.T. Road
Phagwara, Punjab
Indien
https://www.lpu.in/
Jalandhar - Delhi G.T. Road
IN  Phagwara, Punjab

Beiträge der Publikation

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