| from pathlib import Path |
| from typing import Iterable |
| from typing import List |
| from typing import Union |
| import warnings |
| import re |
|
|
| 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 |
| 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.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 == " ": |
| |
| 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 |
|
|
|
|
| def seg_tokenize(txt, seg_dict): |
| |
| 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() |
|
|
