Hieu Sent while bumping into things On 1 Dec 2016 07:01, "Angli Liu" <[email protected]> wrote:
Hi, what's the major difference between the tuning process for a factored phrase based system (i.e., surface+pos data) and a simple baseline phrase based system? Nothing, the tuning just optimise weights for feature functions. If you decompose your translation so that it has multiple phrase tables and generation models, then they are just extra feature functions with weights to be tuned Do I need to organize the dev set the same way as the training set (i.e., surface|pos)? Yes Is there a tutorial on the moses website on this topic? Maybe this http://www.statmt.org/moses/?n=FactoredTraining.FactoredTraining Thanks! -Angli _______________________________________________ Moses-support mailing list [email protected] http://mailman.mit.edu/mailman/listinfo/moses-support
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