def in_wordnet(word):
base = wordnet.morphy(word)
if base is None:
base = word
for d in wordnet.Dictionaries.values():
if base in d:
return True
if word in d:
return True
return False
def runWordnet():
#if False:
#for leaf in c.leaves():
#if(leaf[1]=="VBN" or leaf[1]=="VBD" or leaf[1]=="JJ"):
#if (re.match("TO|BE.*|DO.*|HV.*|MD|IN|PP", leaf[1])):
# cfdcohort[cohortvalue].inc(leaf)
# cfdleaves[leaf].inc(cohortvalue)
maxscore = -1
try:
verb = wordnet.morphy(leaf[0], wordnet.VERB)
senses = wordnet.V[verb]
for sense in senses:
ref_verbs = ["submit","obtain","enter","access","archive","retrieve","present","post","query","import","download","view","find","deposit"]
s = set([])
for ref in ref_verbs:
newscore = wordnet.V[ref][0].path_similarity(sense)
s.update(wordnet.V[ref][0].hypernym_paths()[0])
maxscore = max(maxscore,newscore)
print s,"\n\n"
except:
maxscore = -2
print maxscore
def stem(self, word):
return morphy(word)
