From 28ccfbfc51068a663a80764e14074df5edf2b5ba Mon Sep 17 00:00:00 2001
From: kongdeqiang <kongdeqiang960204@163.com>
Date: 星期五, 13 三月 2026 17:41:41 +0800
Subject: [PATCH] 提交
---
funasr/tokenizer/char_tokenizer.py | 187 +++++++++++++++++++++++-----------------------
1 files changed, 94 insertions(+), 93 deletions(-)
diff --git a/funasr/tokenizer/char_tokenizer.py b/funasr/tokenizer/char_tokenizer.py
index 28b4f40..7b517da 100644
--- a/funasr/tokenizer/char_tokenizer.py
+++ b/funasr/tokenizer/char_tokenizer.py
@@ -8,103 +8,104 @@
from funasr.tokenizer.abs_tokenizer import BaseTokenizer
from funasr.register import tables
+
@tables.register("tokenizer_classes", "CharTokenizer")
class CharTokenizer(BaseTokenizer):
- def __init__(
- self,
- non_linguistic_symbols: Union[Path, str, Iterable[str]] = None,
- space_symbol: str = "<space>",
- remove_non_linguistic_symbols: bool = False,
- split_with_space: bool = False,
- seg_dict: str = None,
- **kwargs,
- ):
- super().__init__(**kwargs)
- self.space_symbol = space_symbol
- if non_linguistic_symbols is None:
- self.non_linguistic_symbols = set()
- elif isinstance(non_linguistic_symbols, (Path, str)):
- non_linguistic_symbols = Path(non_linguistic_symbols)
- try:
- with non_linguistic_symbols.open("r", encoding="utf-8") as f:
- self.non_linguistic_symbols = set(line.rstrip() for line in f)
- except FileNotFoundError:
- warnings.warn(f"{non_linguistic_symbols} doesn't exist.")
- self.non_linguistic_symbols = set()
- else:
- self.non_linguistic_symbols = set(non_linguistic_symbols)
- self.remove_non_linguistic_symbols = remove_non_linguistic_symbols
- self.split_with_space = split_with_space
- self.seg_dict = None
- if seg_dict is not None:
- self.seg_dict = load_seg_dict(seg_dict)
-
-
- def __repr__(self):
- return (
- f"{self.__class__.__name__}("
- f'space_symbol="{self.space_symbol}"'
- f'non_linguistic_symbols="{self.non_linguistic_symbols}"'
- f")"
- )
-
- def text2tokens(self, line: Union[str, list]) -> List[str]:
-
- # if self.split_with_space:
-
- if self.seg_dict is not None:
- tokens = line.strip().split(" ")
- tokens = seg_tokenize(tokens, self.seg_dict)
- else:
- tokens = []
- while len(line) != 0:
- for w in self.non_linguistic_symbols:
- if line.startswith(w):
- if not self.remove_non_linguistic_symbols:
- tokens.append(line[: len(w)])
- line = line[len(w) :]
- break
- else:
- t = line[0]
- if t == " ":
- # t = "<space>"
- line = line[1:]
- continue
- tokens.append(t)
- line = line[1:]
- return tokens
-
- def tokens2text(self, tokens: Iterable[str]) -> str:
- tokens = [t if t != self.space_symbol else " " for t in tokens]
- return "".join(tokens)
+ def __init__(
+ self,
+ non_linguistic_symbols: Union[Path, str, Iterable[str]] = None,
+ space_symbol: str = "<space>",
+ remove_non_linguistic_symbols: bool = False,
+ split_with_space: bool = False,
+ seg_dict: str = None,
+ **kwargs,
+ ):
+ super().__init__(**kwargs)
+ self.space_symbol = space_symbol
+ if non_linguistic_symbols is None:
+ self.non_linguistic_symbols = set()
+ elif isinstance(non_linguistic_symbols, (Path, str)):
+ non_linguistic_symbols = Path(non_linguistic_symbols)
+ try:
+ with non_linguistic_symbols.open("r", encoding="utf-8") as f:
+ self.non_linguistic_symbols = set(line.rstrip() for line in f)
+ except FileNotFoundError:
+ warnings.warn(f"{non_linguistic_symbols} doesn't exist.")
+ self.non_linguistic_symbols = set()
+ else:
+ self.non_linguistic_symbols = set(non_linguistic_symbols)
+ self.remove_non_linguistic_symbols = remove_non_linguistic_symbols
+ self.split_with_space = split_with_space
+ self.seg_dict = None
+ seg_dict = seg_dict if seg_dict is not None else kwargs.get("seg_dict_file", None)
+ if seg_dict is not None:
+ self.seg_dict = load_seg_dict(seg_dict)
+
+ def __repr__(self):
+ return (
+ f"{self.__class__.__name__}("
+ f'space_symbol="{self.space_symbol}"'
+ f'non_linguistic_symbols="{self.non_linguistic_symbols}"'
+ f")"
+ )
+
+ def text2tokens(self, line: Union[str, list]) -> List[str]:
+ # if self.split_with_space:
+ if self.seg_dict is not None:
+ tokens = line.strip().split(" ")
+ tokens = seg_tokenize(tokens, self.seg_dict)
+ else:
+ tokens = []
+ while len(line) != 0:
+ for w in self.non_linguistic_symbols:
+ if line.startswith(w):
+ if not self.remove_non_linguistic_symbols:
+ tokens.append(line[: len(w)])
+ line = line[len(w) :]
+ break
+ else:
+ t = line[0]
+ if t == " ":
+ # t = "<space>"
+ line = line[1:]
+ continue
+ tokens.append(t)
+ line = line[1:]
+ return tokens
+
+ def tokens2text(self, tokens: Iterable[str]) -> str:
+ tokens = [t if t != self.space_symbol else " " for t in tokens]
+ return "".join(tokens)
def load_seg_dict(seg_dict_file):
- seg_dict = {}
- assert isinstance(seg_dict_file, str)
- with open(seg_dict_file, "r", encoding="utf8") as f:
- lines = f.readlines()
- for line in lines:
- s = line.strip().split()
- key = s[0]
- value = s[1:]
- seg_dict[key] = " ".join(value)
- return seg_dict
+ seg_dict = {}
+ assert isinstance(seg_dict_file, str)
+ with open(seg_dict_file, "r", encoding="utf8") as f:
+ lines = f.readlines()
+ for line in lines:
+ s = line.strip().split()
+ key = s[0]
+ value = s[1:]
+ seg_dict[key] = " ".join(value)
+ return seg_dict
+
def seg_tokenize(txt, seg_dict):
- pattern = re.compile(r'^[\u4E00-\u9FA50-9]+$')
- out_txt = ""
- for word in txt:
- word = word.lower()
- if word in seg_dict:
- out_txt += seg_dict[word] + " "
- else:
- if pattern.match(word):
- for char in word:
- if char in seg_dict:
- out_txt += seg_dict[char] + " "
- else:
- out_txt += "<unk>" + " "
- else:
- out_txt += "<unk>" + " "
- return out_txt.strip().split()
\ No newline at end of file
+ # pattern = re.compile(r'^[\u4E00-\u9FA50-9]+$')
+ pattern = re.compile(r"([\u4E00-\u9FA5A-Za-z0-9])")
+ out_txt = ""
+ for word in txt:
+ word = word.lower()
+ if word in seg_dict:
+ out_txt += seg_dict[word] + " "
+ else:
+ if pattern.match(word):
+ for char in word:
+ if char in seg_dict:
+ out_txt += seg_dict[char] + " "
+ else:
+ out_txt += "<unk>" + " "
+ else:
+ out_txt += "<unk>" + " "
+ return out_txt.strip().split()
--
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