Comparison of Statistical Approaches for Tamil to English Translation

  • R. Rajkiran
  • S. Prashanth
  • K. Amarnath Keshav
  • Sridhar Rajeswari
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 32)

Abstract

This work proposes a Machine Translation system from Tamil to English using a Statistical Approach. Statistical machine translation (SMT) is a machine translation paradigm where translations are generated on the basis of statistical models whose parameters are derived from the analysis of bilingual text corpora. It is the most widely used machine translation paradigm for the tradeoff between efficiency and implementation feasibility and due to its partial language independency. In syntax based approach, a phrase table is created which identifies the most probabilistically likely English translation of each Tamil phrase in the input sentence. In hierarchical phrase based approach, a rule table is used to reduce the input Tamil sentence into the output English sentence. We evaluated the two approaches based on different parameters like corpus size, gram size of language model and achieved a BLEU score of 0.26.

Keywords

Statistical machine translation Syntax based Hierarchical phrase based BLEU score 

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Copyright information

© Springer India 2015

Authors and Affiliations

  • R. Rajkiran
    • 1
  • S. Prashanth
    • 1
  • K. Amarnath Keshav
    • 1
  • Sridhar Rajeswari
    • 1
  1. 1.Department of Computer Science and EngineeringAnna University, College of Engineering, GuindyChennaiIndia

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