Using metrics from complex networks to evaluate machine translation

  title={Using metrics from complex networks to evaluate machine translation},
  author={Diego R. Amancio and Maria das Graças Volpe Nunes and Osvaldo N. Oliveira and Thiago Alexandre Salgueiro Pardo and Lucas Antiqueira and Luciano da Fontoura Costa},
Establishing metrics to assess machine translation (MT) systems automatically is now crucial owing to the widespread use of MT over the web. In this study we show that such evaluation can be done by modeling text as complex networks. Specifically, we extend our previous work by employing additional metrics of complex networks, whose results were used as input for machine learning methods and allowed MT texts of distinct qualities to be distinguished. Also shown is that the node-to-nodemapping… CONTINUE READING
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  • D. R. Amancio
  • Antiqueira, T.A.S. Pardo, L.F. Costa, O.N…
  • 2008
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METEOR: an automaticmetric forMT evaluationwith improved correlationwith human judgments

  • S. Banerjee, A. Lavie
  • in: Proceedings ofWorkshop on Intrinsic and…
  • 2011
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