Fine-tuning in Portuguese-English Statistical Machine Translation

Wilker F. AzizIvandré ParaboniThiago Alexandre Salgueiro Pardo

In previous work we have shown results of a first experiment in Statistical Machine Translation (SMT) for Brazilian Portuguese and American English using state-of-the-art phrase-based models. In this paper we compare a number of training and decoding parameter choices for fine-tuning the system as an attempt to obtain optimal results for this language pair.

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