@spec bert_normalizer(keyword()) :: t()

Takes care of normalizing raw text before giving it to a Bert model.

This includes cleaning the text, handling accents, chinese chars and lowercasing.

Options

• :clean_text - whether to clean the text, by removing any control characters and replacing all whitespaces by the classic one. Defaults to true

• :handle_chinese_chars - whether to handle chinese chars by putting spaces around them. Default true

• :strip_accents - whether to strip all accents. If this option is not specified, then it will be determined by the value for lowercase (as in the original Bert)

• :lowercase - whether to lowercase. Default true

@spec lowercase() :: t()

Replaces all uppercase to lowercase

@spec nfc() :: t()

Creates a NFC Unicode normalizer.

@spec nfd() :: t()

Creates a NFD Unicode normalizer.

@spec nfkc() :: t()

Creates a NFKC Unicode normalizer.

@spec nfkd() :: t()

Creates a NFKD Unicode normalizer.

@spec nmt() :: t()

Creates a Nmt normalizer.

@spec normalize(t(), String.t()) :: {:ok, String.t()}

Normalizes the given text input.

@spec precompiled(binary()) :: {:ok, t()} | {:error, any()}

Precompiled normalizer.

Don’t use manually it is used for compatibility with SentencePiece.

@spec prepend(prepend :: String.t()) :: t()

Creates a Prepend normalizer.

@spec replace(String.t(), String.t()) :: t()

Replaces a custom string or regexp and changes it with given content.

@spec sequence([t()]) :: t()

Composes multiple normalizers that will run in the provided order.

@spec strip(keyword()) :: t()

Creates a Strip normalizer.

Removes all whitespace characters on the specified sides (left, right or both) of the input

Options

• :left - whether to strip left side. Defaults to true

• :right - whether to strip right side. Defaults to true

@spec strip_accents() :: t()

Creates a Strip Accent normalizer.

Removes all accent symbols in unicode (to be used with NFD for consistency).