( clean_text = True handle_chinese_chars = True strip_accents = None lowercase = True )
Parameters
bool
, optional, defaults to True
) —
Whether to clean the text, by removing any control characters
and replacing all whitespaces by the classic one.
bool
, optional, defaults to True
) —
Whether to handle chinese chars by putting spaces around them.
bool
, optional) —
Whether to strip all accents. If this option is not specified (ie == None),
then it will be determined by the value for lowercase (as in the original Bert).
bool
, optional, defaults to True
) —
Whether to lowercase.
BertNormalizer
Takes care of normalizing raw text before giving it to a Bert model. This includes cleaning the text, handling accents, chinese chars and lowercasing
Base class for all normalizers
This class is not supposed to be instantiated directly. Instead, any implementation of a Normalizer will return an instance of this class when instantiated.
( normalized )
Parameters
NormalizedString
) —
The normalized string on which to apply this
Normalizer
Normalize a NormalizedString
in-place
This method allows to modify a NormalizedString
to
keep track of the alignment information. If you just want to see the result
of the normalization on a raw string, you can use
normalize_str()
Normalize the given string
This method provides a way to visualize the effect of a
Normalizer but it does not keep track of the alignment
information. If you need to get/convert offsets, you can use
normalize()
Precompiled normalizer Don’t use manually it is used for compatiblity for SentencePiece.
Allows concatenating multiple other Normalizer as a Sequence. All the normalizers run in sequence in the given order