Note that this ensures that greater importance is attributed to longer chunks , as is usual in most EBMT systems ( cfXXX Sato and Nagao 1990 ; Veale and Way 1997 ; Carl 1999 ) .7 As an example , consider the translation into French of the house collapsed .
gaijin a bootstrapping templatedriven approach to examplebased machine translation
Tony Veale Andy Way
In order to calculate a ranking for each TL sentence produced , we multiply the weights of each chunk used in its construction . Note that this ensures that greater importance is attributed to longer chunks , as is usual in most EBMT systems ( cfXXX Sato and Nagao 1990 ; Veale and Way 1997 ; Carl 1999 ) .7 As an example , consider the translation into French of the house collapsed . Assume the conditional probabilities in ( 33 ) :
Note that this ensures that greater importance is attributed to longer chunks , as is usual in most EBMT systems ( cfXXX Sato and Nagao 1990 ; @@CITATION ; Carl 1999 ) .7 As an example , consider the translation into French of the house collapsed .