Statistical Machine Translation

  • Mukesh Kumar DESIDOC DRDO Metcalfe House Delhi-110 054
  • G.S. Vatsa DESIDOC DRDO Metcalfe House Delhi-110 054
  • Nikita Joshi
  • Sumit Goswami DRDO HQ DRDO Bhavan Delhi-110 105
DOI: https://doi.org/10.14429/djlit.30.4.457
Keywords: Statistical machine translation, machine learning, natural language processing, bilingual corpus

Abstract

Statistical Machine Translation (SMT) systems are based on bilingual sentence aligned data. The quality of translation depends on the data provided for translation learning. A huge parallel corpus is required for performing the statistical machine translation. The aim of this paper is to explore SMT using the Moses toolkit for creating a German-English translator. To perform the German to English translation, a parallel corpus of this language pair has been provided. Larger the size of the data provided for the training of the Moses decoder, more accurate is the translated output.

DOI: 10.14429/djlit.30.457


How to Cite
Kumar, M., Vatsa, G., Joshi, N., & Goswami, S. (1). Statistical Machine Translation. DESIDOC Journal of Library & Information Technology, 30(4), 25-32. https://doi.org/10.14429/djlit.30.4.457
Issue
Vol 30 No 4 (2010)
Section
Papers

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