Resumo

TRIPATHI, Samiksha  e  KANSAL, Vineet. Using Linguistic Knowledge for Machine Translation Evaluation with Hindi as a Target Language. Comp. y Sist. [online]. 2017, vol.21, n.4, pp.717-724. ISSN 2007-9737.  https://doi.org/10.13053/cys-21-4-2869.

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.

Palavras-chave : Machine translation evaluation; linguistic knowledge; word group matching; cost function.

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