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This work examines machine translation systems from a human perspective. The modern era of neural machine translation and its applicability. A scalar quality metric comprising 11 factors was employed in the study, and it was graded on an 0–4 scale by humans. IndicTrans2 and Facebook’s NLLB MT Engines were the two MT engines that were taken into consideration for the research. In order to determine the common mistakes that each MT engine encountered, the human evaluators conducted assessments using eleven parameters. The results showed that, of the two, IndicTrans2 MT Engine yielded superior outcomes.

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Human Evaluation of Some English-Hindi Machine Translation Systems

  • 会议论文

  • 发表日期：

    2025年

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  • Riya Lonchenpa,
  • Anju Krishnia,
  • Pragya Katyayan,
  • Mhasilenuo Vizo,
  • Nisheeth Joshi

摘要

This work examines machine translation systems from a human perspective. The modern era of neural machine translation and its applicability. A scalar quality metric comprising 11 factors was employed in the study, and it was graded on an 0–4 scale by humans. IndicTrans2 and Facebook’s NLLB MT Engines were the two MT engines that were taken into consideration for the research. In order to determine the common mistakes that each MT engine encountered, the human evaluators conducted assessments using eleven parameters. The results showed that, of the two, IndicTrans2 MT Engine yielded superior outcomes.