hi ,
all ,
in moses toolkit ,thare is hierarchical phrase-based model ,string-to-tree
model and string-to-tree model ,
we want to combine them together. In other words, we can learn three
different rule tables from parallel texts using the three models. when
decoding ,we can obtain partial hypothesis , which covers input sentence
span [i,j],using the rules from different rule tables, so we want to use
these rules together for every span [i,j] and the decoding process could be
derived mixedly, but the rules from different tables should be weighted
differently . The mert process does't work in this case . how we can obtain
the Optimized weights ?
thank you very much ! best wishes !
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