ReMe/reme4/components/tokenizer/regex_tokenizer.py
2026-05-17 14:14:43 +08:00

31 lines
1.3 KiB
Python

"""Regex tokenizer with Chinese character splitting."""
import re
from .base_tokenizer import BaseTokenizer
from ..component_registry import R
@R.register("regex")
class RegexTokenizer(BaseTokenizer):
"""Tokenizer using regex: splits Chinese chars individually, extracts non-Chinese words."""
WORD_PATTERN = re.compile(r"(?u)\b\w\w+\b") # 2+ char words
CHINESE_PATTERN = re.compile(r"[一-鿿]") # single Chinese char
def __init__(self, filter_stopwords: bool = True, **kwargs):
super().__init__(**kwargs)
self.filter_stopwords = filter_stopwords
def tokenize(self, texts: list[str], lower: bool = True, **kwargs) -> list[list[str]]:
"""Tokenize texts. Extracts Chinese chars, then non-Chinese words from remaining text."""
result = []
for text in texts:
# Extract Chinese chars individually, then non-Chinese words
tokens = self.CHINESE_PATTERN.findall(text)
tokens.extend(self.WORD_PATTERN.findall(self.CHINESE_PATTERN.sub(" ", text)))
if lower:
tokens = [t.lower() for t in tokens]
if self.filter_stopwords and self._stopwords:
tokens = [t for t in tokens if t not in self._stopwords]
result.append(tokens)
return result