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trainsegment.py
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#!/usr/bin/env python3
#
# Copyright (C) 2017.
# Author: Jesús Manuel Mager Hois
# e-mail: <[email protected]>
# Project website: http://turing.iimas.unam.mx/wix/
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
from optparse import OptionParser
import morfessor
def train_seg(infile, outfile):
io = morfessor.MorfessorIO()
print("Open corpus file")
train_data = list(io.read_corpus_file(infile))
model_types = morfessor.BaselineModel()
model_types.load_data(train_data, count_modifier=lambda x: 1)
def log_func(x):
return int(round(math.log(x + 1, 2)))
print("Training data...")
model_types.train_batch()
print("Write bin file")
io.write_binary_model_file(outfile, model_types)
if __name__ == "__main__":
parser = OptionParser()
parser.add_option("-i", "--input", dest="input", help="read training file", metavar="FILE")
parser.add_option("-o", "--output", dest="output", help="binary file for the model", metavar="FILE")
(options, args) = parser.parse_args()
print(options.input)
print(options.output)
train_seg(options.input, options.output)