def batch_parse(inputs, grammar, trace=0):
"""
Convert input sentences into syntactic trees.
:param inputs: sentences to be parsed
:type inputs: list of str
:param grammar: L{FeatureGrammar} or name of feature-based grammar
:rtype: dict
:return: a mapping from input sentences to a list of L{Tree}s
"""
# put imports here to avoid circult dependencies
from nltk.grammar import FeatureGrammar
from nltk.parse import FeatureChartParser, load_parser
if isinstance(grammar, FeatureGrammar):
cp = FeatureChartParser(grammar)
else:
cp = load_parser(grammar, trace=trace)
parses = []
for sent in inputs:
tokens = sent.split() # use a tokenizer?
syntrees = cp.nbest_parse(tokens)
parses.append(syntrees)
return parses
def batch_parse(inputs, grammar, trace=0):
"""
Convert input sentences into syntactic trees.
:param inputs: sentences to be parsed
:type inputs: list of str
:param grammar: ``FeatureGrammar`` or name of feature-based grammar
:rtype: dict
:return: a mapping from input sentences to a list of ``Tree``s
"""
# put imports here to avoid circult dependencies
from nltk.grammar import FeatureGrammar
from nltk.parse import FeatureChartParser, load_parser
if isinstance(grammar, FeatureGrammar):
cp = FeatureChartParser(grammar)
else:
cp = load_parser(grammar, trace=trace)
parses = []
for sent in inputs:
tokens = sent.split() # use a tokenizer?
syntrees = cp.nbest_parse(tokens)
parses.append(syntrees)
return parses
