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

Samiksha Tripathi, Vineet Kansal


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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