As in ( Lee et al. , 2003 ) , we used unsupervised training data which is automatically segmented to discover previously unseen stems .
language model based arabic word segmentation
Y-S Lee K Papineni S Roukos O Emam H Hassan
We seeked to exploit this ability to generalize to improve the dictionary based model . As in ( Lee et al. , 2003 ) , we used unsupervised training data which is automatically segmented to discover previously unseen stems . In our case , the character n-gram model is used to segment a portion of the Arabic Gigaword corpus .
As in ( @@CITATION ) , we used unsupervised training data which is automatically segmented to discover previously unseen stems .