zhaomingwork
2024-03-19 b32b21d9c8b0ea659711760e7c80fb572d6b7a41
funasr/tokenizer/build_tokenizer.py
@@ -1,17 +1,7 @@
from pathlib import Path
from typing import Iterable
from typing import Union
from abc import ABC
from abc import abstractmethod
from typing import Iterable
from typing import List
from pathlib import Path
from typing import Dict
from typing import Iterable
from typing import List
from typing import Union
import numpy as np
from funasr.tokenizer.abs_tokenizer import AbsTokenizer
from funasr.tokenizer.char_tokenizer import CharTokenizer
@@ -28,7 +18,6 @@
    space_symbol: str = "<space>",
    delimiter: str = None,
    g2p_type: str = None,
    **kwargs,
) -> AbsTokenizer:
    """A helper function to instantiate Tokenizer"""
    if token_type == "bpe":
@@ -39,7 +28,7 @@
            raise RuntimeError(
                "remove_non_linguistic_symbols is not implemented for token_type=bpe"
            )
        return SentencepiecesTokenizer(bpemodel, **kwargs)
        return SentencepiecesTokenizer(bpemodel)
    elif token_type == "word":
        if remove_non_linguistic_symbols and non_linguistic_symbols is not None:
@@ -49,14 +38,13 @@
                remove_non_linguistic_symbols=True,
            )
        else:
            return WordTokenizer(delimiter=delimiter, **kwargs)
            return WordTokenizer(delimiter=delimiter)
    elif token_type == "char":
        return CharTokenizer(
            non_linguistic_symbols=non_linguistic_symbols,
            space_symbol=space_symbol,
            remove_non_linguistic_symbols=remove_non_linguistic_symbols,
            **kwargs
        )
    elif token_type == "phn":
@@ -65,7 +53,6 @@
            non_linguistic_symbols=non_linguistic_symbols,
            space_symbol=space_symbol,
            remove_non_linguistic_symbols=remove_non_linguistic_symbols,
            **kwargs
        )
    else: