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? 2. What are the default weights for the feature functions? 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-moses-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 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.
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