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Sifar: An Attempt to Develop Interactive Machine Translation System for English to Hindi

  • Meenal Jain
  • Mehvish Syed
  • Nidhi Sharma
  • Shambhavi SethEmail author
  • Nisheeth Joshi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1045)

Abstract

The presently available machine translation systems are still far from being perfect, and to improve their performance the concept of interactive machine translation (IMT) was introduced. This paper proposes Sifar, an IMT system, which uses statistical machine translation and a bilingual corpus on which several algorithms (Word error rate, Position Independent Error Rate, Translation Error Rate, n-grams) are implemented to translate text from English to Hindi. The proposed system improves both the speed and productivity of the human translators as found through experiments.

Keywords

Machine translation Statistical machine translation Computer aided translation Interactive machine translation Position independent error rate Word error rate Translation error rate 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Meenal Jain
    • 1
  • Mehvish Syed
    • 1
  • Nidhi Sharma
    • 1
  • Shambhavi Seth
    • 1
    Email author
  • Nisheeth Joshi
    • 1
  1. 1.Department of Computer ScienceBanasthali VidyapithVanasthaliIndia

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