Using Linguistic Knowledge for Machine Translation Evaluation with Hindi as a Target Language

Authors

  • Samiksha Tripathi AKTU, Lucknow
  • Vineet Kansal AKTU, Lucknow

DOI:

https://doi.org/10.13053/cys-21-4-2869

Abstract

Several proposed metrics of MT Evaluation like BLEU have been criticized for their poor performance in evaluating machine translations. Languages like Hindi which have relatively free word-order and are morphologically rich pose additional problems in such evaluation. We attempt here to make use of linguistic knowledge to evaluate machine translations with Hindi as a target language. We formulate the problem of MT Evaluation as minimum cost assignment problem between test and reference translations with cost function based on linguistic knowledge.

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Published

2017-12-23

Issue

Vol. 21 No. 4 (2017): Advances in Human Language Technologies (Guest Editor: A. Gelbukh)

Section

Articles of the Thematic Issue

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