def slice_lines_grouped_by_n(inf, outf, *, n, s):
for lines in tools.group_n_lines(inf, n=n):
if type(s) == slice:
outf.write(''.join(lines[s]))
elif type(s) == int:
outf.write(lines[s])
else:
raise AssertionError
def run(self):
with self.input().open('r') as inf:
with self.output()['src'].open(
'w') as outf1, self.output()['tgt'].open(
'w') as outf2:
for src, tgt, _ in tools.group_n_lines(inf, n=3):
outf1.write(src)
outf2.write(tgt)
def ngram_pairs_from_lines(lines):
for i, (zh, tag, _) in enumerate(tools.group_n_lines(lines,
n=3), 1):
zh, tag = zh.split(), tag.split()
if i % 100000 == 0:
print('{:,}'.format(i)) # show progress
# return
yield from task.ngram_pairs(zh, tag)
def run(self):
with self.input().open('r') as inf, self.output().open('w') as outf:
for zh, en, _ in tools.group_n_lines(inf, n=3):
zh, en = zh.strip(), en.strip()
zh = tools.zhsent_preprocess(zh)
with contextlib.redirect_stdout(outf):
print(zh)
print(en)
print()
def run(self):
from geniatagger import GeniaTaggerClient
gtagger = GeniaTaggerClient()
with self.input().open('r') as input_file:
with self.output()['np'].open('w') as np_out, self.output()['vp'].open('w') as vp_out, self.output()['pure_np'].open('w') as pure_np_out:
for en, ch in tools.group_n_lines(input_file, n=2):
en, ch = en.strip(), ch.strip()
en_tag_info = gtagger.parse(en)
if 'B-VP' == en_tag_info[0][3]:
outfile = vp_out
elif 'B-VP' not in (wdata[3] for wdata in en_tag_info):
outfile = pure_np_out
else:
outfile = np_out
print(en, file=outfile)
print(ch, file=outfile)
print(*('/'.join(wdata) for wdata in en_tag_info), file=outfile)
print(file=outfile)
def run(self):
from nltk.tokenize import sent_tokenize
from nltk.tokenize import RegexpTokenizer
ch_sent_tokenize = RegexpTokenizer('(?:[^。「」！？]*(「[^」]*」)?[^。「」！？]*)+[。！？；]?').tokenize
import sys
with self.input().open('r') as input_file, self.output().open('w') as output_file:
for en, ch in tools.group_n_lines(input_file, n=2):
en, ch = en.strip(), ch.strip()
ens = sent_tokenize(en)
chs = [sub_ch for sub_ch in ch_sent_tokenize(ch) if sub_ch != '']
score = 0
if len(ens) != len(chs):
print('Unmatched sentences length:', ens, chs, file=sys.stderr)
continue
score = sum(translate_score(en, ch)
for en, ch in zip(ens, chs)) / len(en.split())
for en, ch in zip(ens, chs):
print(score, en, ch, sep='\t', file=output_file)
def transformat_line2slash(inf, outf):
for zh, tag, _ in tools.group_n_lines(inf, n=3):
zh, tag = zh.strip().split(), tag.strip().split()
print(*('{}/{}'.format(z, t) for z, t in zip(zh, tag)), file=outf)