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PaddleSpeech/third_party/python-pinyin/pypinyin/seg/simpleseg.py

67 lines
1.9 KiB

E2E/Streaming Transformer/Conformer ASR (#578) * add cmvn and label smoothing loss layer * add layer for transformer * add glu and conformer conv * add torch compatiable hack, mask funcs * not hack size since it exists * add test; attention * add attention, common utils, hack paddle * add audio utils * conformer batch padding mask bug fix #223 * fix typo, python infer fix rnn mem opt name error and batchnorm1d, will be available at 2.0.2 * fix ci * fix ci * add encoder * refactor egs * add decoder * refactor ctc, add ctc align, refactor ckpt, add warmup lr scheduler, cmvn utils * refactor docs * add fix * fix readme * fix bugs, refactor collator, add pad_sequence, fix ckpt bugs * fix docstring * refactor data feed order * add u2 model * refactor cmvn, test * add utils * add u2 config * fix bugs * fix bugs * fix autograd maybe has problem when using inplace operation * refactor data, build vocab; add format data * fix text featurizer * refactor build vocab * add fbank, refactor feature of speech * refactor audio feat * refactor data preprare * refactor data * model init from config * add u2 bins * flake8 * can train * fix bugs, add coverage, add scripts * test can run * fix data * speed perturb with sox * add spec aug * fix for train * fix train logitc * fix logger * log valid loss, time dataset process * using np for speed perturb, remove some debug log of grad clip * fix logger * fix build vocab * fix logger name * using module logger as default * fix * fix install * reorder imports * fix board logger * fix logger * kaldi fbank and mfcc * fix cmvn and print prarams * fix add_eos_sos and cmvn * fix cmvn compute * fix logger and cmvn * fix subsampling, label smoothing loss, remove useless * add notebook test * fix log * fix tb logger * multi gpu valid * fix log * fix log * fix config * fix compute cmvn, need paddle 2.1 * add cmvn notebook * fix layer tools * fix compute cmvn * add rtf * fix decoding * fix layer tools * fix log, add avg script * more avg and test info * fix dataset pickle problem; using 2.1 paddle; num_workers can > 0; ckpt save in exp dir;fix setup.sh; * add vimrc * refactor tiny script, add transformer and stream conf * spm demo; librisppech scripts and confs * fix log * add librispeech scripts * refactor data pipe; fix conf; fix u2 default params * fix bugs * refactor aishell scripts * fix test * fix cmvn * fix s0 scripts * fix ds2 scripts and bugs * fix dev & test dataset filter * fix dataset filter * filter dev * fix ckpt path * filter test, since librispeech will cause OOM, but all test wer will be worse, since mismatch train with test * add comment * add syllable doc * fix ds2 configs * add doc * add pypinyin tools * fix decoder using blank_id=0 * mmseg with pybind11 * format code
3 years ago
from itertools import chain
from typing import List
from typing import Text
from pypinyin.constants import PHRASES_DICT
from pypinyin.constants import RE_HANS
from pypinyin.seg import mmseg
def _seg(chars: Text) -> List[Text]:
"""按是否是汉字进行分词"""
s = '' # 保存一个词
ret = [] # 分词结果
flag = 0 # 上一个字符是什么? 0: 汉字, 1: 不是汉字
for i, c in enumerate(chars):
if RE_HANS.match(c): # 汉字, 确定 flag 的初始值
if i == 0: # 第一个字符
flag = 0
if flag == 0:
s += c
else: # 上一个字符不是汉字, 分词
ret.append(s)
flag = 0
s = c
else: # 不是汉字
if i == 0: # 第一个字符, 确定 flag 的初始值
flag = 1
if flag == 1:
s += c
else: # 上一个字符是汉字, 分词
ret.append(s)
flag = 1
s = c
ret.append(s) # 最后的词
return ret
def simple_seg(hans: Text) -> List[Text]:
"""将传入的字符串按是否是汉字来分割"""
assert not isinstance(hans, bytes), \
'must be unicode string or [unicode, ...] list'
if isinstance(hans, str):
return _seg(hans)
else:
hans = list(hans)
if len(hans) == 1:
return simple_seg(hans[0])
return list(chain(* [simple_seg(x) for x in hans]))
def seg(hans: Text) -> List[Text]:
hans = simple_seg(hans)
ret = []
for x in hans:
if not RE_HANS.match(x): # 没有拼音的字符,不再参与二次分词
ret.append(x)
elif PHRASES_DICT:
ret.extend(list(mmseg.seg.cut(x)))
else: # 禁用了词语库,不分词
ret.append(x)
return ret