def clauses_by_sense(bwnid):
synset = bwn.get_synset(bwnid)
occurrences = synset.get_occurrences(rendered=False)
word_numbers = []
for tkn_obj in occurrences:
word_numbers.extend(tkn_obj.get_wns())
clauses = cl.Clause.objects.filter(verb_word_number__wn__in=word_numbers) if word_numbers else None
return clauses
import django; django.setup()
import codecs
import logos.bwn.models as bwn
import logos.wn.models as wn
data = []
f = codecs.open("C:/tmp/antonym_interactive_test.txt", "r", "utf-16")
for line in f.readlines():
line_data=line.split("\t")
if line_data[1] == "antonym":
data.append(line_data)
for item in data:
ss1 = bwn.get_synset(item[0])
ss2 = bwn.get_synset(item[2])
if ss1 != None and ss2 != None:
ss1_tokens = [token.get_wn_token() for token in ss1.get_occurrences(rendered=False)]
refs = [token.milestone for token in ss1_tokens]
for ref in refs:
words = [word for word in ref.get_word_numbers()]
for word in words:
try:
wn_obj = wn.WordNumber.objects.get(wn=word)
check_sense = bwn.get_sense_at_wordnumber_id(wn_obj.id)
if check_sense == ss2:
print("{0}: {1} - {2}".format(ref.get_renderedreference(), ss1.get_label(), ss2.get_label()))
else:
check_sense = None
except:
pass
__author__ = 'jeremy.thompson'
import django; django.setup()
from fuzzywuzzy import fuzz
import logos.bwn.models as bwn
fig_symbol = bwn.get_synset("hurt_crush.v.05").label.strings.filter(language="en")[0].string.split(" ")[2]
figs = bwn.Synset.objects.filter(label__strings__string__contains=fig_symbol)
for fig in figs:
wns = [occ for occ in fig.get_occurrences(rendered=False)]
fig_label = fig.get_label()
try:
source = fig_label.split(fig_symbol)[1].lstrip(" ")
target = fig_label.split(fig_symbol)[0].replace("to ", "")
for word in wns:
try:
import pdb; pdb.set_trace()
gloss = word.wordnumber.token_set.filter(database=1)[0].get_gloss().gloss
source_ratio = fuzz.partial_ratio(source, gloss)
target_ratio = fuzz.partial_ratio(target, gloss)
print word.wordnumber.token_set.filter(database=1)[0].milestone.reference, \
source, source_ratio, target, target_ratio
except: pass
except IndexError:
print fig_label, " is bad"
