Convert to a json compatible dict. Returns: A dict representation.

r"""Convert into markdown string. Args: headings: ``auto`` to automatically detect the word type. When passed a list of string, t

Convert into a pretty tree string which can be printed to show the tree structure. Args: extras: Extra table to be aligned to thi

During training, randomly replaces some of the non-padding tokens to a mask token with probability ``p`` Adopted from https://github.

Implement this method to tokenize a piece of text into a list of non-intersect spans, each span is a tuple of ``(begin_offset, end_offset, lab

A modified version of the segtok tagger: https://github.com/fnl/segtok This tagger extends the alphanumeric :func:`symbol_tokenizer` by split

Build a transform function for this embedding. Args: **kwargs: Containing vocabs, training etc. Not finalized for now. R

Let the task transform the batch before feeding the batch into its decoder. The default behavior is to adjust the head and tail of to

@param url An API endpoint to a service provider. @param auth An auth key licenced by a service provider. @param language The language this c

Run the pipeline as a function. Args: doc: A :class:`~hanlp_common.document.Document` or other data types. **kwargs:

# Parameters predictions : `torch.Tensor`, required. A tensor of predictions of shape (batch_size, ...). gold_la

# Parameters predictions : `torch.Tensor`, required. A tensor of predictions of shape (batch_size, ..., num_classes).

# Parameters predictions : `torch.Tensor`, required. A tensor of predictions of shape (batch_size, ...). gold_la