def __init__(self):
"""
Initialize the SVO Methods
"""
self.noun_types = ["NN", "NNP", "NNPS", "NNS", "PRP"]
self.verb_types = ["VB", "VBD", "VBG", "VBN", "VBP", "VBZ"]
self.adjective_types = ["JJ", "JJR", "JJS"]
self.pred_verb_phrase_siblings = None
self.parser = stanford_utils.new_parser()
self.sent_detector = nltk.data.load('tokenizers/punkt/english.pickle')
def __init__(self):
"""
Initialize the SVO Methods
"""
self.noun_types = ["NN", "NNP", "NNPS","NNS","PRP"]
self.verb_types = ["VB","VBD","VBG","VBN", "VBP", "VBZ"]
self.adjective_types = ["JJ","JJR","JJS"]
self.pred_verb_phrase_siblings = None
self.parser = stanford_utils.new_parser()
self.sent_detector = nltk.data.load('tokenizers/punkt/english.pickle')
__author__ = 'laceyliu'
import stanford_utils
from nltk import Tree
parser = stanford_utils.new_parser()
def sents_to_trees(sentences):
trees = []
for sent in sentences:
trees.append(parser.raw_parse(sent))
return trees
def sent_to_tree(sentence):
t = parser.raw_parse(sentence)
# return t.next()
t = parser.raw_parse(sentence)
tree = None
for subtree in t:
tree = subtree
subs = []
for sub in tree:
subs.append(sub)
return Tree(tree.label(), sub)
def tree_to_sent(tree):
if tree == None:
return ""
return ' '.join(tree.leaves())
def get_phrases(tree, pattern, reversed=False, sort=False):
phrases = []
label = tree.label()
__author__ = 'laceyliu'
import stanford_utils
from nltk import Tree
parser = stanford_utils.new_parser()
def sents_to_trees(sentences):
trees = []
for sent in sentences:
trees.append(parser.raw_parse(sent))
return trees
def sent_to_tree(sentence):
t = parser.raw_parse(sentence)
# return t.next()
t = parser.raw_parse(sentence)
tree = None
for subtree in t:
tree = subtree
subs = []
for sub in tree:
subs.append(sub)
return Tree(tree.label(), sub)
def tree_to_sent(tree):
if tree == None:
return ""
return ' '.join(tree.leaves())
