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easymoses.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
import os
import re
import time
import EasyHelper
import utils
import easybleu
reload(sys)
sys.setdefaultencoding('utf8')
# exp_group = "test"
# exp_group = "smt-phrase-nnjm-wmt"
# exp_id = "39"
# exp_group = "nmt-alphabet-wmt"
# exp_id = "1"
# exp_group = "nmt-wmtcb"
# exp_id = "8"
# exp_group = "smt-phrase-wmtcb"
# exp_id = "180"
exp_group = "fan-tuning"
exp_id = "x"
# exp_id = "base"
easy_config = EasyHelper.EasyConfig(exp_group, exp_id)
# import importlib
# exp_config = importlib.import_module(os.path.join(easy_config, "config"))
sys.path.append(easy_config.easy_workpath)
from config import info as exp_config
# print exp_config
###########################################
from smt import *
def smt_training_corpus_preparation (easy_config) :
training_filename = utils.get_filename(exp_config["training_corpus"])
write_step("start training_corpus_preparation", easy_config)
# print "corpus preparation"
tokenisation (easy_config, training_filename)
truecaser (easy_config, training_filename)
truecasing (easy_config, training_filename)
limiting_sentence_length (easy_config, training_filename)
write_step("finish training_corpus_preparation", easy_config)
# print "finish corpus preparation"
def smt_language_model_training (easy_config) :
training_filename = utils.get_filename(exp_config["training_corpus"])
write_step("start language_model_training", easy_config)
generate_sb (easy_config, training_filename)
generate_lm (easy_config, training_filename)
generate_arpa (easy_config, training_filename)
generate_blm (easy_config, training_filename)
write_step("finish language_model_training", easy_config)
def smt_translation_model_training(easy_config):
training_filename = utils.get_filename(exp_config["training_corpus"])
translation_model(easy_config, training_filename)
def smt_tuning (easy_config) :
devfilename = utils.get_filename(exp_config["develop_corpus"])
# print "tuning"
tuning_tokenizer (easy_config, devfilename)
tuning_truecase (easy_config, devfilename)
tuning_process (easy_config, devfilename)
# print "finish tuning"
###################### bnplm #############################################
def add_bnplm_feature(easy_config):
if os.path.isfile(os.path.join(easy_config.easy_train, "model/moses.ini")):
outfile = open(os.path.join(easy_config.easy_train, "model/moses.ini"), 'a')
easy_bnplm_feature = "[feature]\nBilingualNPLM "\
+ " order=" + exp_config["bnplm_target_context"]\
+ " source_window=" + exp_config["bnplm_source_context"]\
+ " path= " + os.path.join(easy_config.easy_bnplm, "train.10k.model.nplm."+exp_config["bnplm_epochs"])\
+ " source_vocab=" + os.path.join(easy_config.easy_bnplm, "vocab.source")\
+ " target_vocab=" + os.path.join(easy_config.easy_bnplm, "vocab.target")
outfile.write(easy_bnplm_feature)
write_step("add bnplm feature"+easy_bnplm_feature, easy_config)
outfile.close()
def bnplm (easy_config) :
training_filename = utils.get_filename(exp_config["training_corpus"])
extract_training (easy_config, training_filename)
train_nplm (easy_config, training_filename)
# averagebNullEmbedding (easy_config)
######################### test ###########################
def smt_testing (easy_config) :
# t_start (easy_config)
testfilename = utils.get_filename(exp_config["test_corpus"])
# testfilename = utils.get_filename(exp_config["develop_corpus"])
# t_tokenisation (easy_config, testfilename)
# t_truecasing (easy_config, testfilename)
# t_filter_model_given_input (easy_config)
# t_filter_model_given_input (easy_config, easy_config.easy_evaluation, testfilename+'.true.'+exp_config['source_id'])
run_test (easy_config, testfilename)
# view_result (easy_config, testfilename)
# compare_resultt (easy_config, 0)
def smt_check_train(easy_config):
training_filename = utils.get_filename(exp_config["training_corpus"])
import commands
lines = int(commands.getstatusoutput('wc -l ' + os.path.join(easy_config.easy_corpus, training_filename+'.clean.'+exp_config["source_id"])) [1].split(' ')[0])
print "pairs ", lines
# return
from nmt import overfitting_prepare
base = 10
if lines / 3000 > base:
base = lines / 3000
overfitting_prepare(easy_config, training_filename, base)
test_on_train(easy_config)
######################### nmt ############################
from nmt import *
#data preparation
def nmt_prepare(easy_config):
# cpnmt(easy_config)
training_filename = utils.get_filename(exp_config["training_corpus"])
# print exp_config["training_corpus"],training_filename
# exit()
write_step("start nmt_prepare", easy_config)
tokenisation (easy_config, training_filename)
truecaser (easy_config, training_filename)
truecasing (easy_config, training_filename)
limiting_sentence_length (easy_config, training_filename)
pkl(easy_config, training_filename)
invert(easy_config, training_filename)
hdf5(easy_config, training_filename)
shuff(easy_config, training_filename)
write_step("finish nmt_prepare", easy_config)
def nmt_train(easy_config):
# create_statefile(easy_config)
command1 = "python " + easy_config.nmt_path + "train.py"\
+ " --proto=" + "prototype_search_state"\
+ " --state " + os.path.join(easy_config.easy_train, "state.py")\
+ " >& " + os.path.join(easy_config.easy_train, "out.txt")+" &"
write_step (command1, easy_config)
os.system(command1)
def nmt_test(easy_config):
testfilename = utils.get_filename(exp_config["test_corpus"])
t_tokenisation(easy_config, testfilename)
t_truecasing(easy_config, testfilename)
command1 = "python " + easy_config.nmt_path + "sample.py"\
+ " --beam-search "\
+ " --beam-size 12"\
+ " --state " + os.path.join(easy_config.easy_train, "search_state.pkl")\
+ " --source " + os.path.join(easy_config.easy_evaluation, testfilename + ".true." + exp_config["source_id"])\
+ " --trans " + os.path.join(easy_config.easy_evaluation, testfilename + ".translated." + exp_config["target_id"])\
+ " " + os.path.join(easy_config.easy_train, "search_model.npz")\
+ " >& " + os.path.join(easy_config.easy_evaluation, "trans_out.txt") +" &"
write_step(command1, easy_config)
os.system(command1)
def nmt_dev(easy_config, devfilename):
command1 = "python " + easy_config.nmt_path + "sample.py"\
+ " --beam-search "\
+ " --beam-size 12"\
+ " --state " + os.path.join(easy_config.easy_train, "search_state.pkl")\
+ " --source " + os.path.join(easy_config.easy_tuning, devfilename + ".true." + exp_config["source_id"])\
+ " --trans " + os.path.join(easy_config.easy_tuning, devfilename + ".translated." + exp_config["target_id"])\
+ " " + os.path.join(easy_config.easy_train, "search_model.npz")\
+ " >& " + os.path.join(easy_config.easy_tuning, "tunning_out.txt") +" &"
write_step(command1, easy_config)
os.system(command1)
def nmt_dev_res(easy_config):
command2 = easy_config.mosesdecoder_path + "scripts/generic/multi-bleu.perl"\
+ " -lc " + os.path.join(easy_config.easy_tuning, devfilename + ".true." + exp_config["target_id"])\
+ " < " + os.path.join(easy_config.easy_tuning, devfilename + ".translated." + exp_config["target_id"])
write_step (command2, easy_config)
os.system(command2)
translation_result = open (os.path.join(easy_config.easy_tuning, "translation_result.txt"), 'w')
translated = open (os.path.join(easy_config.easy_tuning, devfilename + ".translated." + exp_config["target_id"]), 'r')
source = open (os.path.join(easy_config.easy_tuning, devfilename + ".true." + exp_config["source_id"]), 'r')
target = open (os.path.join(easy_config.easy_tuning, devfilename + ".true." + exp_config["target_id"]), 'r')
count = 0
for tran_line in translated :
source_line = source.readline ()
if source_line : translation_result.write ("[#" + str(count) + "] " + source_line)
else :
print "eeeeeeeeeerror " + str (count)
break
target_line = target.readline ()
translation_result.write ("[" + str(easybleu.bleu (tran_line, target_line)) + "] " + tran_line)
if target_line :
translation_result.write ("[ref] " + target_line)
else :
print "errrrrrrrrrrror" + str (count)
break
count += 1
translation_result.close()
translated.close()
source.close()
target.close()
def nmt_check_overfitting(easy_config):
training_filename = utils.get_filename(exp_config["training_corpus"])
import commands
lines = int(commands.getstatusoutput('wc -l ' + os.path.join(easy_config.easy_corpus, training_filename+'.clean.'+exp_config["source_id"]))[1].split(' ')[0])
print "pairs ", lines
# return
from nmt import overfitting_prepare
base = 10
if lines / 3000 > base:
base = lines / 3000
overfitting_prepare(easy_config, training_filename, base)
command1 = "python " + easy_config.nmt_path + "sample.py"\
+ " --beam-search "\
+ " --beam-size 12"\
+ " --state " + os.path.join(easy_config.easy_train, "search_state.pkl")\
+ " --source " + os.path.join(easy_config.easy_overfitting,"OF.clean." + exp_config["source_id"])\
+ " --trans " + os.path.join(easy_config.easy_overfitting, "ontrain." + exp_config["target_id"])\
+ " " + os.path.join(easy_config.easy_train, "search_model.npz")
command2 = (easy_config.mosesdecoder_path + "scripts/generic/multi-bleu.perl "\
+ " -lc " + easy_config.easy_overfitting + "/OF.clean." + exp_config["target_id"]\
+ " < " + easy_config.easy_overfitting + "/ontrain." + exp_config["target_id"])
write_step(command1, easy_config)
os.system(command1)
write_step(command2, easy_config)
os.system(command2)
def nmt_make_backup(easy_config):
dirname = easy_config.easy_train + str(time.strftime('%Y_%m%d_%H%M',time.localtime(time.time())))
command1 = "mkdir " + dirname
if not os.path.exists(dirname):
write_step(command1, easy_config)
os.system(command1)
command2 = "cp " + easy_config.easy_train + "*.* " + dirname
write_step(command2, easy_config)
os.system(command2)
def bleu_score(easy_config):
testfilename = utils.get_filename(exp_config["test_corpus"])
command2 = (easy_config.mosesdecoder_path + "scripts/generic/multi-bleu.perl "
+ " -lc " + os.path.join(easy_config.easy_evaluation, testfilename + ".true." + exp_config["target_id"])
+ " < " + os.path.join(easy_config.easy_evaluation, testfilename + ".translated." + exp_config["target_id"])
# + " < " + easy_config.easy_evaluation + testfilename + ".translated." + exp_config["target_id"] + ".9"
)
write_step (command2, easy_config)
os.system(command2)
######################### nmt ############################
def easymoses ():
a = 0
if "true" != exp_config["config"]:
print "please edit your config.py file"
exit()
# smt_training_corpus_preparation (easy_config)
# smt_language_model_training (easy_config)
# smt_translation_model_training (easy_config)
# bnplm (easy_config)
# add_bnplm_feature(easy_config)
# smt_tuning (easy_config)
# smt_testing (easy_config)
# smt_check_train(easy_config)
# cross_corpus("18", "nmt", "te", easy_config)
# cross_corpus("17", "smt", "te", easy_config)
# nplm (easy_config)
# nmt_prepare(easy_config)
# nmt_train(easy_config)
# nmt_check_overfitting(easy_config)
# nmt_check_overfitting_2(easy_config)
# nmt_dev(easy_config)
# nmt_dev_res(easy_config)
# nmt_make_backup(easy_config)
# nmt_test(easy_config)
# bleu_score(easy_config)
if __name__ == "__main__" :
print str (time.strftime('%Y-%m-%d %X',time.localtime(time.time())))
if sys.argv[1] != exp_group:
print "you input a wrong group id"
print "you input a wrong group id"
print "you input a wrong group id"
exit()
elif sys.argv[2] != exp_id:
print "you input a wrong exp id"
print "you input a wrong exp id"
print "you input a wrong exp id"
exit()
easymoses ()
sys.path.remove(easy_config.easy_workpath)