File size: 2,209 Bytes
ad16788 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
from pathlib import Path
from typing import Iterable
from typing import Union
from typeguard import check_argument_types
from espnet2.text.abs_tokenizer import AbsTokenizer
from espnet2.text.char_tokenizer import CharTokenizer
from espnet2.text.phoneme_tokenizer import PhonemeTokenizer
from espnet2.text.sentencepiece_tokenizer import SentencepiecesTokenizer
from espnet2.text.word_tokenizer import WordTokenizer
def build_tokenizer(
token_type: str,
bpemodel: Union[Path, str, Iterable[str]] = None,
non_linguistic_symbols: Union[Path, str, Iterable[str]] = None,
remove_non_linguistic_symbols: bool = False,
space_symbol: str = "<space>",
delimiter: str = None,
g2p_type: str = None,
) -> AbsTokenizer:
"""A helper function to instantiate Tokenizer"""
assert check_argument_types()
if token_type == "bpe":
if bpemodel is None:
raise ValueError('bpemodel is required if token_type = "bpe"')
if remove_non_linguistic_symbols:
raise RuntimeError(
"remove_non_linguistic_symbols is not implemented for token_type=bpe"
)
return SentencepiecesTokenizer(bpemodel)
elif token_type == "word":
if remove_non_linguistic_symbols and non_linguistic_symbols is not None:
return WordTokenizer(
delimiter=delimiter,
non_linguistic_symbols=non_linguistic_symbols,
remove_non_linguistic_symbols=True,
)
else:
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,
)
elif token_type == "phn":
return PhonemeTokenizer(
g2p_type=g2p_type,
non_linguistic_symbols=non_linguistic_symbols,
space_symbol=space_symbol,
remove_non_linguistic_symbols=remove_non_linguistic_symbols,
)
else:
raise ValueError(
f"token_mode must be one of bpe, word, char or phn: " f"{token_type}"
)
|