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Depval Module

Class: DepValAnalyzer

Parameters:

  • treebank (str) - Opened conllu format treebank.

Method 1: calculate_dep_metrics

Parameters:

  • metrics (List[str]) - The types of metrics to calculate, default is ['dd', 'hd', 'ddir', 'v'].

Return Value:

Returns a dictionary containing the results of various metrics:

  • dd (List) - Dependency distance.
  • hd (List) - Hierarchical distance.
  • ddir (List) - Dependency direction.
  • v (List) - Dynamic value.

Method 2: calculate_sent_metrics

Parameters:

  • metrics (List[str]) - The metrics to calculate, default is ['mdd', 'mhd', 'mhdd', 'tdl', 'sl', 'mv', 'vk', 'tw', 'th', 'hi', 'hf'].

Return Value:

Returns a dictionary containing the metrics for each sentence.

Method 3: calculate_text_metrics

Parameters:

  • metrics (List[str]) - The metrics to calculate, default is ['mdd', 'mhd', 'mhdd', 'mtdl', 'msl', 'mv', 'vk', 'mtw', 'mth', 'hi', 'hf'].

Return Value:

Returns a dictionary containing the metrics for the entire text.

Method 4: calculate_distributions

Parameters:

  • metrics (List[str]) - The distribution metrics to calculate, default is ['dd', 'hd', 'sl', 'v', 'tw', 'th', 'deprel', 'pos'].
  • normalize (bool) - Whether to normalize the data, default is False.

Return Value:

Returns a dictionary containing the distribution data for each metric.

Class: Converter

Parameters:

  • treebank (str) - Opened treebank.

Method 1: style2style

Parameters:

  • from_style (str) - Original format.
  • to_style (str) - Target format.

Return Value:

Returns the converted treebank.

Method 2: save

Parameters:

  • treebank (str) - Converted treebank.
  • style (str) - Target format.
  • path (str) - Save path.

Return Value:

None.

Lingnet Module

Class: Network

Parameters:

  • treebank (str) - Opened treebank.

Method 1: get_Deprel

Return Value:

Returns a list of dependency edges.

Method 2: get_Bigram

Return Value:

Returns a list of co-occurrence edges.

Function: conllu2edges

Parameters:

  • treebank (str) - Opened treebank.
  • mode (str) - Edge type, default is dependency.

Return Value:

Returns a list of edges.

Function: fitPowerLaw

Parameters:

  • data (List) - Data, a degree sequence.

Return Value:

Returns the fitting results.

Lawfitter Module

Class: fit

Parameters:

  • data: (tuple[List, list]) - Data, a tuple containing two lists.
  • law_name: str = None
  • variant: str = None
  • customized_law: function = None

Return Value:

Returns the fitting results.