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Here's how to do Baum-Welch training with `cdec`.
## Set the tags you want.
First, set the number of tags you want in tagset.txt (these
can be any symbols, listed one after another, separated
by whitespace), e.g.:
C1 C2 C3 C4
## Extract the parameter feature names
../mpi_extract_features -c cdec.ini -t train.txt
If you have compiled with MPI, you can use `mpirun`:
mpirun -np 8 ../mpi_extract_features -c cdec.ini -t train.txt
## Randomly initialize the weights file
sort -u features.* | ./random_init.pl > weights.init
## Run training
../mpi_baum_welch -c cdec.ini -t train.txt -w weights.init -n 50
Again, if you have compiled with MPI, you can use `mpirun`:
mpirun -np 8 ../mpi_baum_welch -c cdec.ini -t train.txt -w weights.init -n 50
The `-n` flag indicates how many iterations to run for.
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