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Factored Translation between Brazilian Portuguese and English

  • Helena de Medeiros Caseli
  • Israel Aono Nunes
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6404)

Abstract

Factored translation is an extension of the state-of-the-art phrase-based statistical machine translation (PB-SMT). The main difference in factored translation approach is that a word is not only a token (its surface form) but a vector composed of different information such as lemma, part-of-speech or morphologic/syntactic tags. In this paper we present some experiments carried out to train and test factored translation models on Brazilian Portuguese and English texts. Using part-of-speech and morphological information, the factored models showed better results than the baseline (a PB-SMT), but the same gain in performance was not reached when flat syntactic tags were considered.

Keywords

Machine Translation Surface Form Parse Tree Factor Translation Statistical Machine Translation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Helena de Medeiros Caseli
    • 1
  • Israel Aono Nunes
    • 1
  1. 1.Department of Computer ScienceFederal University of São Carlos (UFSCar)São CarlosBrazil

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