Hi everyone, I'm using EMS to run experiments involving semantic annotations as factors. I would like to try adding sparse features to use the fact that when a word and its translation have the same annotation, there is good chances that it is a good translation.
I read the tutorials on Moses website but it's still not clear to me how this works. Can anyone help me with this? Regards, Marco
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