lmc

#!/bin/bash
# 
# DESCRIPTION
# 
#       Given a list of sentences, create a statistical language model.  
#
#       (Produces a binary language model from plain sentence list.  Invokes 
#       CMU-created perl script located in /opt/vmc/lib.  Saves file in given 
#       directory.)
#
# USAGE: 
#
#       lmc sentence-list lm-filename save-directory
#
# VARIABLES ===================================================================

sentence_list_path=$1
lm_filename=$2
save_directory=$3

lib_dir=/opt/vmc/lib

# CHECK IF HELP NEEDED ========================================================

if [[ -z $1 ]]; then  
    echo -e "\nUSAGE: \tlmc "
    echo -e "\n\tsentence_list_file\t(input file with sample sentences)"
    echo -e "\toutput_lm_file_name\t(desired base name of output lm file)"
    echo -e "\tsave_directory\t\t(location to save the ouput file into)\n"
    exit 1
fi

# COMMANDS ====================================================================

# run perl script to create language model
perl $lib_dir/quick_lm.pl -s $sentence_list_path #&> /dev/null

# rename output
mv "$sentence_list_path.arpabo" "$save_directory/$lm_filename.lm"

# convert lm from text to binary 
filenamedir=$save_directory/$lm_filename.lm
sphinx_lm_convert -i $filenamedir -o $filenamedir.bin &> /dev/null