56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
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from pathlib import Path
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from typing import Iterable
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from typing import List
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from typing import Union
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import warnings
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from funasr.tokenizer.abs_tokenizer import AbsTokenizer
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class WordTokenizer(AbsTokenizer):
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def __init__(
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self,
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delimiter: str = None,
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non_linguistic_symbols: Union[Path, str, Iterable[str]] = None,
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remove_non_linguistic_symbols: bool = False,
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):
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self.delimiter = delimiter
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if not remove_non_linguistic_symbols and non_linguistic_symbols is not None:
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warnings.warn(
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"non_linguistic_symbols is only used " "when remove_non_linguistic_symbols = True"
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)
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if non_linguistic_symbols is None:
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self.non_linguistic_symbols = set()
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elif isinstance(non_linguistic_symbols, (Path, str)):
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non_linguistic_symbols = Path(non_linguistic_symbols)
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try:
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with non_linguistic_symbols.open("r", encoding="utf-8") as f:
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self.non_linguistic_symbols = set(line.rstrip() for line in f)
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except FileNotFoundError:
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warnings.warn(f"{non_linguistic_symbols} doesn't exist.")
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self.non_linguistic_symbols = set()
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else:
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self.non_linguistic_symbols = set(non_linguistic_symbols)
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self.remove_non_linguistic_symbols = remove_non_linguistic_symbols
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def __repr__(self):
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return f'{self.__class__.__name__}(delimiter="{self.delimiter}")'
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def text2tokens(self, line: str) -> List[str]:
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tokens = []
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for t in line.split(self.delimiter):
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if self.remove_non_linguistic_symbols and t in self.non_linguistic_symbols:
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continue
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tokens.append(t)
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return tokens
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def tokens2text(self, tokens: Iterable[str]) -> str:
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if self.delimiter is None:
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delimiter = " "
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else:
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delimiter = self.delimiter
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return delimiter.join(tokens)
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