def get_word_dependencies(text):
dependencies = {}
dep_parser = StanfordDependencyParser(
model_path=osp.join(
datadir,
"stanford_data/edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz"
),
java_options="-mx4g -XX:-UseGCOverheadLimit")
st = StanfordPOSTagger(osp.join(datadir, "stanford_pos/stanford-postagger-3.9.1.jar"),\
osp.join(datadir, 'stanford_pos/models/english-bidirectional-distsim.tagger'), java_options='-mx4g, XX:-UseGCOverheadLimit')
stanford_dir = st._stanford_jar.rpartition('/')[0]
stanford_jars = find_jars_within_path(stanford_dir)
st.stanford_jar = ':'.join(stanford_jars)
result = dep_parser.raw_parse(text)
dep = result.__next__()
#print(list(dep.triples()))
for i in list(dep.triples()):
w1 = i[0][0]
w2 = i[2][0]
if w1 in dependencies:
dependencies[w1].append((w2, i[1]))
else:
dependencies[w1] = [(w2, i[1])]
#print(dependencies)
return dependencies
