nltk.parse.corenlp.CoreNLPParser

class documentation

class CoreNLPParser(GenericCoreNLPParser): (source)

Constructor: CoreNLPParser(url, encoding, tagtype)

View In Hierarchy

>>> parser = CoreNLPParser(url='http://localhost:9000')
>>> next(
...     parser.raw_parse('The quick brown fox jumps over the lazy dog.')
... ).pretty_print()  # doctest: +NORMALIZE_WHITESPACE
                     ROOT
                      |
                      S
       _______________|__________________________
      |                         VP               |
      |                _________|___             |
      |               |             PP           |
      |               |     ________|___         |
      NP              |    |            NP       |
  ____|__________     |    |     _______|____    |
 DT   JJ    JJ   NN  VBZ   IN   DT      JJ   NN  .
 |    |     |    |    |    |    |       |    |   |
The quick brown fox jumps over the     lazy dog  .

>>> (parse_fox, ), (parse_wolf, ) = parser.raw_parse_sents(
...     [
...         'The quick brown fox jumps over the lazy dog.',
...         'The quick grey wolf jumps over the lazy fox.',
...     ]
... )
>>> parse_fox.pretty_print()  # doctest: +NORMALIZE_WHITESPACE
                     ROOT
                      |
                      S
       _______________|__________________________
      |                         VP               |
      |                _________|___             |
      |               |             PP           |
      |               |     ________|___         |
      NP              |    |            NP       |
  ____|__________     |    |     _______|____    |
 DT   JJ    JJ   NN  VBZ   IN   DT      JJ   NN  .
 |    |     |    |    |    |    |       |    |   |
The quick brown fox jumps over the     lazy dog  .

>>> parse_wolf.pretty_print()  # doctest: +NORMALIZE_WHITESPACE
                     ROOT
                      |
                      S
       _______________|__________________________
      |                         VP               |
      |                _________|___             |
      |               |             PP           |
      |               |     ________|___         |
      NP              |    |            NP       |
  ____|_________      |    |     _______|____    |
 DT   JJ   JJ   NN   VBZ   IN   DT      JJ   NN  .
 |    |    |    |     |    |    |       |    |   |
The quick grey wolf jumps over the     lazy fox  .

>>> (parse_dog, ), (parse_friends, ) = parser.parse_sents(
...     [
...         "I 'm a dog".split(),
...         "This is my friends ' cat ( the tabby )".split(),
...     ]
... )
>>> parse_dog.pretty_print()  # doctest: +NORMALIZE_WHITESPACE
        ROOT
         |
         S
  _______|____
 |            VP
 |    ________|___
 NP  |            NP
 |   |         ___|___
PRP VBP       DT      NN
 |   |        |       |
 I   'm       a      dog

>>> parse_friends.pretty_print()  # doctest: +NORMALIZE_WHITESPACE
     ROOT
      |
      S
  ____|___________
 |                VP
 |     ___________|_____________
 |    |                         NP
 |    |                  _______|_________
 |    |                 NP               PRN
 |    |            _____|_______      ____|______________
 NP   |           NP            |    |        NP         |
 |    |     ______|_________    |    |     ___|____      |
 DT  VBZ  PRP$   NNS       POS  NN -LRB-  DT       NN  -RRB-
 |    |    |      |         |   |    |    |        |     |
This  is   my  friends      '  cat -LRB- the     tabby -RRB-

>>> parse_john, parse_mary, = parser.parse_text(
...     'John loves Mary. Mary walks.'
... )
>>> parse_john.pretty_print()  # doctest: +NORMALIZE_WHITESPACE
      ROOT
       |
       S
  _____|_____________
 |          VP       |
 |      ____|___     |
 NP    |        NP   |
 |     |        |    |
NNP   VBZ      NNP   .
 |     |        |    |
John loves     Mary  .

>>> parse_mary.pretty_print()  # doctest: +NORMALIZE_WHITESPACE
      ROOT
       |
       S
  _____|____
 NP    VP   |
 |     |    |
NNP   VBZ   .
 |     |    |
Mary walks  .

Special cases

>>> next(
...     parser.raw_parse(
...         'NASIRIYA, Iraq—Iraqi doctors who treated former prisoner of war '
...         'Jessica Lynch have angrily dismissed claims made in her biography '
...         'that she was raped by her Iraqi captors.'
...     )
... ).height()
20

>>> next(
...     parser.raw_parse(
...         "The broader Standard & Poor's 500 Index <.SPX> was 0.46 points lower, or "
...         '0.05 percent, at 997.02.'
...     )
... ).height()
9

Method make_tree Undocumented
Class Variable parser_annotator Undocumented
Constant _OUTPUT_FORMAT Undocumented

Inherited from GenericCoreNLPParser:

Method __init__ Undocumented
Method api_call Undocumented
Method parse_sents Parse multiple sentences.
Method parse_text Parse a piece of text.
Method raw_parse Parse a sentence.
Method raw_parse_sents Parse multiple sentences.
Method raw_tag_sents Tag multiple sentences.
Method tag Tag a list of tokens.
Method tag_sents Tag multiple sentences.
Method tokenize Tokenize a string of text.
Instance Variable encoding Undocumented
Instance Variable session Undocumented
Instance Variable tagtype Undocumented
Instance Variable url Undocumented

Inherited from ParserI (via GenericCoreNLPParser):

Method grammar No summary
Method parse When possible this list is sorted from most likely to least likely.
Method parse_all No summary
Method parse_one No summary

Inherited from TokenizerI (via GenericCoreNLPParser, ParserI):

Method span_tokenize Identify the tokens using integer offsets (start_i, end_i), where s[start_i:end_i] is the corresponding token.
Method span_tokenize_sents Apply self.span_tokenize() to each element of strings. I.e.:
Method tokenize_sents Apply self.tokenize() to each element of strings. I.e.:

Inherited from TaggerI (via GenericCoreNLPParser, ParserI, TokenizerI):

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 make_tree(self, result): (source)

Undocumented

parser_annotator: str = (source)

Undocumented

_OUTPUT_FORMAT: str = (source)

Undocumented

Value
'penn'