We use the open-source Moses toolkit ( Koehn et al. , 2007 ) to build a phrase-based SMT system trained on mostly MSA data ( 64M words on the Arabic side ) obtained from several LDC corpora including some limited DA data .
moses open source toolkit for statistical machine translation
Philipp Koehn Hieu Hoang Alexandra Birch Christopher Callison-Burch Marcello Federico Nicola Bertoldi Brooke Cowan Wade Shen Christine Moran Richard Zens Christopher Dyer Ondrej Bojar Alexandra Constantin Evan Herbst
We use the open-source Moses toolkit ( Koehn et al. , 2007 ) to build a phrase-based SMT system trained on mostly MSA data ( 64M words on the Arabic side ) obtained from several LDC corpora including some limited DA data . Our system uses a standard phrase-based architecture .
We use the open-source Moses toolkit ( @@CITATION ) to build a phrase-based SMT system trained on mostly MSA data ( 64M words on the Arabic side ) obtained from several LDC corpora including some limited DA data .