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This paper describes an experiment to evaluate the impact of idioms on Statistical Machine Translation (SMT) process using the language pair English/BrazilianPortuguese. Our results show that on sentences containing idioms a standard SMT system achieves about half the BLEU score of the same system when applied to sentences that do not contain idioms. We also provide a short error analysis and outline our planned work to overcome this limitation.

An Empirical Study of the Impact of Idioms on Phrase Based Statistical Machine Translation of English to Brazilian-Portuguese