def replacementDict(tc, dc, cc, tr):
MAX_PREDICATES = 3
repl = {}
for i in range(len(tc)):
repl["tag_%i"%i] = tc[i]
repl["tag_%i_aan"%i] = a_or_an(tc[i])
if dc[i]:
if len(dc[i].keys()) < MAX_PREDICATES:
relVerbs = dc[i].keys()
lemmas = [rc(dc[i][relVerb]) for relVerb in relVerbs]
for j in range(MAX_PREDICATES - len(relVerbs)):
useAgain = rc(dc[i].keys())
relVerbs.append(useAgain)
lemmas.append(rc(dc[i][useAgain]))
else:
relVerbs = rs(dc[i].keys(), MAX_PREDICATES)
lemmas = [rc(dc[i][relVerb]) for relVerb in relVerbs]
zipped = zip(relVerbs, lemmas)
for j in range(MAX_PREDICATES):
repl["tag_%i_predicate_%i"%(i,j)] = " ".join(zipped[j])
dump = []
for rv in dc[i].keys():
for lemma in dc[i][rv]:
dump.append("%s it %s %s." % (rc(tr), rv, lemma))
random.shuffle(dump)
repl["tag_%i_dump"%i] = dump
else:
for j in range(MAX_PREDICATES):
repl["tag_%i_predicate_%i"%(i,j)] = "remains unknown"
repl["tag_%i_dump"%i] = []
return repl
def replacementDict(tc, dc, cc, tr):
MAX_PREDICATES = 3
repl = {}
for i in range(len(tc)):
repl["tag_%i"%i] = tc[i]
repl["tag_%i_aan"%i] = a_or_an(tc[i])
if dc[i]:
if len(dc[i].keys()) < MAX_PREDICATES:
relVerbs = dc[i].keys()
lemmas = [rc(dc[i][relVerb]) for relVerb in relVerbs]
for j in range(MAX_PREDICATES - len(relVerbs)):
useAgain = rc(dc[i].keys())
relVerbs.append(useAgain)
lemmas.append(rc(dc[i][useAgain]))
else:
relVerbs = rs(dc[i].keys(), MAX_PREDICATES)
lemmas = [rc(dc[i][relVerb]) for relVerb in relVerbs]
zipped = zip(relVerbs, lemmas)
for j in range(MAX_PREDICATES):
repl["tag_%i_predicate_%i"%(i,j)] = "%s %s" % (rc(zipped[j][0]), zipped[j][1])
dump = []
for rv in dc[i].keys():
for lemma in dc[i][rv]:
dump.append("%s it %s %s." % (rc(tr), rc(rv), lemma))
random.shuffle(dump)
repl["tag_%i_dump"%i] = dump
else:
for j in range(MAX_PREDICATES):
repl["tag_%i_predicate_%i"%(i,j)] = "remains unknown"
repl["tag_%i_dump"%i] = []
return repl
def explodeTag(tag):
articleList = ["a", "an", "the"]
candidates = defaultdict(list)
normalizedTag = normalize(tag)
start = "/c/en/"+normalizedTag.replace(" ", "_")
try:
edges = conceptNet(start)["edges"]
except KeyError:
edges = []
for edge in edges:
endLemma = edge["end"].split("/")[-1].replace("_", " ")
rel = edge["rel"]
try:
verbs, aan = relDict[rel]
except KeyError:
verbs = False
else:
unmodified = endLemma
endLemma = verbConjugate(unmodified, rel, aan)
if verbs and len(endLemma) > 1 and not unmodified in [tag, normalizedTag]:
if aan and not startsWithCheck(endLemma, articleList):
candidates[tuple(verbs)].append(a_or_an(endLemma))
else:
candidates[tuple(verbs)].append(endLemma)
return candidates
def chTitle(hi):
htmlFile = open(APPPATH+'static/output/'+hi+'.html', 'r')
html = htmlFile.read()
htmlFile.close()
soup = BeautifulSoup(html)
text = "\n".join([unicode(i) for i in soup.p.contents]).replace("<br/>", "\n")
s = parsetree(text)
nounPhrases = []
for sentence in s:
for chunk in sentence.chunks:
if chunk.type == "NP":
nounPhrases.append(chunk.string)
selectNPs = rs([np for np in nounPhrases if not "&" in np], ri(1,2))
articles = ["a", "an", "the"]
nps = []
for np in selectNPs:
if startsWithCheck(np, articles):
nps.append(np)
else:
nps.append(a_or_an(np))
if len(selectNPs) == 1:
title = titlecase(nps[0])
elif len(selectNPs) == 2:
title = titlecase(" and ".join(nps))
# elif len(selectNPs) == 3:
# title = titlecase("%s, %s, and %s" % tuple(nps))
return title.encode('ascii', 'xmlcharrefreplace')
def explodeTag(tag):
relDict = {
"/r/RelatedTo": ["evokes", False],
"/r/IsA": ["is", True],
"/r/PartOf": ["appertains to", True],
"/r/MemberOf": ["belongs to", True],
"/r/HasA": ["has", True],
"/r/UsedFor": ["is for", False],
"/r/CapableOf": ["may", False],
#"/r/AtLocation": [False, False],
"/r/Causes": ["causes", True],
"/r/HasSubevent": ["manifests", False],
"/r/HasFirstSubevent": ["began with", True],
"/r/HasLastSubevent": ["ends with", True],
"/r/HasPrerequisite": ["requires", True],
"/r/HasProperty": ["is", False],
"/r/MotivatedByGoal": ["dreams of", False],
"/r/ObstructedBy": ["struggles with", True],
"/r/Desires": ["yearns for", False],
"/r/CreatedBy": ["resulted from", True],
"/r/Synonym": ["is also known as", True],
"/r/Antonym": ["is not", True],
"/r/DerivedFrom": ["is made from", True],
"/r/TranslationOf": ["is known to some as", False],
"/r/DefinedAs": ["remains", True]
}
articleList = ["a", "an", "the"]
candidates = defaultdict(list)
normalizedTag = normalize(tag)
start = "/c/en/" + normalizedTag.replace(" ", "_")
try:
edges = conceptNet(start)["edges"]
except KeyError:
edges = []
for edge in edges:
endLemma = edge["end"].split("/")[-1].replace("_", " ")
rel = edge["rel"]
try:
verb, aan = relDict[rel]
except KeyError:
verb = False
else:
unmodified = endLemma
endLemma = verbConjugate(unmodified, rel, aan)
if verb and len(endLemma) > 1 and not unmodified in [
tag, normalizedTag
]:
if aan and not startsWithCheck(endLemma, articleList):
candidates[verb].append(a_or_an(endLemma))
else:
candidates[verb].append(endLemma)
return candidates
def explodeTag(tag):
relDict = {
"/r/RelatedTo": ["evokes", False],
"/r/IsA": ["is", True],
"/r/PartOf": ["appertains to", True],
"/r/MemberOf": ["belongs to", True],
"/r/HasA": ["has", True],
"/r/UsedFor": ["is for", False],
"/r/CapableOf": ["may", False],
#"/r/AtLocation": [False, False],
"/r/Causes": ["causes", True],
"/r/HasSubevent": ["manifests", False],
"/r/HasFirstSubevent": ["began with", True],
"/r/HasLastSubevent": ["ends with", True],
"/r/HasPrerequisite": ["requires", True],
"/r/HasProperty": ["is", False],
"/r/MotivatedByGoal": ["dreams of", False],
"/r/ObstructedBy": ["struggles with", True],
"/r/Desires": ["yearns for", False],
"/r/CreatedBy": ["resulted from", True],
"/r/Synonym": ["is also known as", True],
"/r/Antonym": ["is not", True],
"/r/DerivedFrom": ["is made from", True],
"/r/TranslationOf": ["is known to some as", False],
"/r/DefinedAs": ["remains", True]
}
articleList = ["a", "an", "the"]
candidates = defaultdict(list)
normalizedTag = normalize(tag)
start = "/c/en/"+normalizedTag
try:
edges = conceptNet(start)["edges"]
except KeyError:
edges = []
for edge in edges:
endLemma = edge["end"].split("/")[-1].replace("_", " ")
rel = edge["rel"]
try:
verb, aan = relDict[rel]
except KeyError:
verb = False
else:
unmodified = endLemma
endLemma = verbConjugate(unmodified, rel, aan)
if verb and len(endLemma) > 1 and not unmodified in [tag, normalizedTag]:
if aan and not startsWithCheck(endLemma, articleList):
candidates[verb].append(a_or_an(endLemma))
else:
candidates[verb].append(endLemma)
return candidates
