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filter_line_sample2.py
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filter_line_sample2.py
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import re
import sys
import math
import string
import collections
import unicodedata
LEFT_PUNCTS = "\"'(（[{‘“〈《「『【〔"
RIGHT_PUNCTS = "\"')）]}’”〉》」』】〕"
MIDDLE_PUNCTS = "!&*,./:;?@\\_~·、。々！，：；？—…"
END_PUNCTS = "!?…。！：；？"
CORE_PUNCTS = "、。！，：；？—…‘“〈《「『’”〉》」』（）"
re_digit = re.compile('[0-9]')
re_alpha = re.compile('[A-Za-z]')
def load_simplewordlist(filename):
words = []
with open(filename, 'r', encoding='utf-8') as f:
for ln in f:
words.append(ln.strip())
return words
def load_bigram(bigram_freq_file, char_list):
total = 0
bigram_freq = {}
with open(bigram_freq_file, 'r', encoding='utf-8') as f:
for ln in f:
fields = ln.rstrip().split(' ')
if not fields[1]:
continue
word = fields[0]
freq = int(fields[1])
total += freq
bigram_freq[word] = freq
log_total = math.log(total)
min_freq = 0
for word, freq in bigram_freq.items():
bigram_freq[word] = math.log(freq) - log_total
if bigram_freq[word] < min_freq:
min_freq = bigram_freq[word]
return bigram_freq, min_freq
def sentence_score(s, bigram_freq, min_freq, additional_list):
ch_num = 0
last_ch = '\uf000'
score = 0
for ch in s.strip():
if ch == ' ':
continue
elif unicodedata.category(ch) == 'Lo' or ch in CORE_PUNCTS:
ch_num += 1
elif ch.isdigit():
ch = '\uf002'
elif ch.isalpha():
ch = '\uf001'
if last_ch == ch and ch in '\uf001\uf002':
continue
freq = bigram_freq.get(last_ch + ch)
if freq is None and ch in additional_list:
freq = bigram_freq.get(last_ch + '\uf001')
if freq is None:
freq = min_freq
score += freq
if ch in END_PUNCTS:
last_ch = '\uf000'
else:
last_ch = ch
return ch_num//5, score
if __name__ == '__main__':
script_dir = os.path.abspath(os.path.dirname(__file__))
char_list = set(
" "
"\"'(（[{‘“〈《「『【〔"
"\"')）]}’”〉》」』】〕"
"!&*,./:;?@\\_~·、。々！，：；？—…"
"#$¥+-*/×÷=≠≈<>≤≥^%°"
)
char_list.update(string.ascii_letters)
char_list.update(string.digits)
if len(sys.argv) < 2 or sys.argv[1] == 'zhs':
lang = 'chi_sim'
char_list.update(load_simplewordlist(
os.path.join(script_dir, 'wordlist/zhs_chars.txt')))
char_list.add('〇')
#additional_list = ()
additional_list = set(''.join(load_simplewordlist(
os.path.join(script_dir, 'wordlist/pinyin.txt'))))
char_list.update(additional_list)
bigram_freq, min_freq = load_bigram('wordlist/bigramfreq_zhs.txt', char_list)
else:
lang = 'chi_tra'
char_list.update(load_simplewordlist(
os.path.join(script_dir, 'wordlist/zht_chars.txt')))
char_list.add('〇')
#additional_list = ()
additional_list = set(''.join(load_simplewordlist(
os.path.join(script_dir, 'wordlist/bopomofo.txt'))))
char_list.update(additional_list)
bigram_freq, min_freq = load_bigram('wordlist/bigramfreq_zht.txt', char_list)
eng_lines = load_simplewordlist(
os.path.join(script_dir, 'langdata/eng/eng.lstm_all.txt'))
lines = []
for line in sys.stdin:
lines.append(''.join(x for x in line.strip() if x in char_list))
lines.sort(key=lambda x: (
sentence_score(x, bigram_freq, min_freq, additional_list) +
(len(x), len(frozenset(x)), x),
), reverse=True)
train_size = 10
test_size = 1
last_test = False
used_lines_train = set()
used_lines_test = set()
line_for_char_train = collections.defaultdict(list)
line_for_char_test = collections.defaultdict(list)
line_for_length_train = collections.defaultdict(list)
line_for_length_test = collections.defaultdict(list)
for k, line in enumerate(lines):
if last_test:
line_for_char = line_for_char_train
line_for_length = line_for_length_train
used_lines = used_lines_train
expect_size = train_size
else:
line_for_char = line_for_char_test
line_for_length = line_for_length_test
used_lines = used_lines_test
expect_size = test_size
length = len(line)
for ch in line:
last_test = not last_test
char_lines = line_for_char[ch]
if len(char_lines) >= expect_size:
continue
elif length < 5 and char_lines and len(lines[char_lines[0]]) > 10:
continue
line_for_char[ch].append(k)
used_lines.add(k)
if 5 <= length <= 50 and len(line_for_length[length]) < expect_size:
line_for_length[length].append(k)
used_lines.add(k)
for ch in char_list.difference(line_for_char_train.keys()):
if ch in line_for_char_test:
line_for_char_train[ch].append(line_for_char_test[ch].pop())
if not line_for_char_test[ch]:
del line_for_char_test[ch]
# for ch in sorted(char_list):
# ch_lines = line_for_char.get(ch, ())
# print(ch, len(ch_lines),
# min(ch_lines, default=None),
# min((len(lines[x]) for x in ch_lines), default=None),
# max((len(lines[x]) for x in ch_lines), default=None)
# )
print(''.join(sorted(char_list.difference(line_for_char_train.keys()))))
print(len(char_list))
print(len(line_for_char_train))
print(len(line_for_char_test))
eng_split = int(len(eng_lines) * 0.9)
with open('%s.lstm_train.txt' % lang, 'w', encoding='utf-8') as f:
for k in sorted(used_lines_train):
print(lines[k], file=f)
for line in eng_lines[:eng_split]:
print(line, file=f)
with open('%s.lstm_test.txt' % lang, 'w', encoding='utf-8') as f:
for k in sorted(used_lines_test):
print(lines[k], file=f)
for line in eng_lines[eng_split:]:
print(line, file=f)