Promising features for classification include part of speech , frequency of co-occurrence , relative word position , and translational entropy ( Melamed , 1997 ) .
measuring semantic entropyquot
I D Melamed
Even better accuracy can be achieved with a more fine-grained link class structure . Promising features for classification include part of speech , frequency of co-occurrence , relative word position , and translational entropy ( Melamed , 1997 ) . Another interesting extension is to broaden the definition of a `` word '' to include multi-word lexical units ( Smadja , 1992 ) .
Promising features for classification include part of speech , frequency of co-occurrence , relative word position , and translational entropy ( @@CITATION ) .