In our previous work ( Salloum and Habash , 2011 ; Salloum and Habash , 2012 ) , we applied our approach to tokenized Arabic and our DA-MSA transfer component used feature transfer rules only .
dialectal to standard arabic paraphrasing to improve arabicenglish statistical machine translation
Wael Salloum Nizar Habash
In contrast , we use hand-written morphosyntactic transfer rules that focus on translating DA morphemes and lemmas to their MSA equivalents . In our previous work ( Salloum and Habash , 2011 ; Salloum and Habash , 2012 ) , we applied our approach to tokenized Arabic and our DA-MSA transfer component used feature transfer rules only . We did not use a language model to pick the best path ; instead we kept the ambiguity in the lattice and passed it to our SMT system .
In our previous work ( @@CITATION ; Salloum and Habash , 2012 ) , we applied our approach to tokenized Arabic and our DA-MSA transfer component used feature transfer rules only .