Hi
Now I find a problem when I'm training a hierarchical model with script of
train-model.pl. The parallel corpus I used to train the hierarchical model have
more than two million sentences. Then when moses extracting rules from the
corpus, it extract so many rules that I don't have enough disk space to store
them. The rules take more than 100 GB disk space and the extracting process is
so aborted. Is there any method to reduce the space when extracting rules? Now
I fail to train a hierarchical model. Thanks in advance.
zhu hai
_______________________________________________
Moses-support mailing list
[email protected]
http://mailman.mit.edu/mailman/listinfo/moses-support
