nltk.classify.senna.Senna

class documentation

class Senna(TaggerI): (source)

Constructor: Senna(senna_path, operations, encoding)

Undocumented

Method	`__init__`	Undocumented
Method	`executable`	The function that determines the system specific binary that should be used in the pipeline. In case, the system is not known the default senna binary will be used.
Method	`tag`	Applies the specified operation(s) on a list of tokens.
Method	`tag_sents`	Applies the tag method over a list of sentences. This method will return a list of dictionaries. Every dictionary will contain a word with its calculated annotations/tags.
Constant	`SUPPORTED_OPERATIONS`	Undocumented
Instance Variable	`operations`	Undocumented
Method	`_map`	A method that calculates the order of the columns that SENNA pipeline will output the tags into. This depends on the operations being ordered.
Instance Variable	`_encoding`	Undocumented
Instance Variable	`_path`	Undocumented

Inherited from TaggerI:

Method	`evaluate`	Score the accuracy of the tagger against the gold standard. Strip the tags from the gold standard text, retag it using the tagger, then compute the accuracy score.
Method	`_check_params`	Undocumented

def __init__(self, senna_path, operations, encoding='utf-8'): (source) ¶

Undocumented

def executable(self, base_path): (source) ¶

The function that determines the system specific binary that should be used in the pipeline. In case, the system is not known the default senna binary will be used.

def tag(self, tokens): (source) ¶

overrides nltk.tag.api.TaggerI.tag

Applies the specified operation(s) on a list of tokens.

def tag_sents(self, sentences): (source) ¶

overrides nltk.tag.api.TaggerI.tag_sents

Applies the tag method over a list of sentences. This method will return a list of dictionaries. Every dictionary will contain a word with its calculated annotations/tags.

SUPPORTED_OPERATIONS: list[str] = (source) ¶

Undocumented

Value

['pos', 'chk', 'ner']

operations = (source) ¶

Undocumented

def _map(self): (source) ¶

A method that calculates the order of the columns that SENNA pipeline will output the tags into. This depends on the operations being ordered.

_encoding = (source) ¶

Undocumented

_path = (source) ¶

Undocumented