Dear Taraka Answers inline
On Monday 12 January 2009 20:29:46 K.Taraka Rama wrote: > Dear Experts, > > I have the following doubts regarding the new mert implementation: > > 1. I know that the mert implementation is based on the Och's paper of > Minimum Error Rate Training and Discriminative models for SMT, which > tries to optimise the feature function's weights. In Moses website it is > written that there are 5 translation weights. What do the 5 translation > feature functions stand for? Forward and backward phrase translation (log) probabilities, forward and backward lexical translation weights, and a phrase penalty. http://www.statmt.org/moses/?n=FactoredTraining.ScorePhrases > 2. What are the default weights for the feature functions? These are usually set to 0.2 by train-factored-phrase-model.perl > 3. I have the following problem when I run the new mert script. > > "Failed to parse mert.log, missed Best point there. at > /home/taraka/moses/bin/moses-scripts/scripts-20081123-1240/training/mert-mo >ses-new.pl line 638." > > I have tried to change the value of "n" in Bleu score function and > recompile it. It worked for the first time. It didnt give any error. The > next time I did the same thing and it started giving the above error. I > tried with "--continue" switch, still it didnt change any thing. I take it you mean that you changed the LENGTH variable? Possibly mert crashed. Could you post the mert.log file? It should be in the working directory. I don't think the --continue option works (yet) with the new mert. Make sure you use a clean working directory for a new run, regards Barry > > I believe there is no problem with the data, because I was able to run the > old implementation of MERT on it and also test the models. _______________________________________________ Moses-support mailing list [email protected] http://mailman.mit.edu/mailman/listinfo/moses-support
