Github user KellenSunderland commented on the issue:
https://github.com/apache/incubator-joshua/pull/65
This PR should now implement all of the JNI improvements we wanted to make
at the MT Marathon. Before merging would you be able to run a quick test and
see what the performance is like? If the second commit doesn't speed things up
we could consider removing it to reduce code complexity.
I also noticed that language model ffs all were estimating with the
following signature:
`public float estimateCost(Rule rule, Sentence sentence)`
Does it actually make sense to pass the sentence object here? Each rule
should be able to be estimated with only its local feature score + weights
right? It shouldn't need any additional context?
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