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wordnet.py
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wordnet.py
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import os
import sys
import bisect
import marshal
def similar(category, examples, depth=3):
"""Returns a set of similar words within a lexical category"""
if isinstance(category, basestring):
category = lexids[category]
res = set()
visited = set()
def work(word, recurse):
if recurse == 0:
return
if word in visited:
return
visited.add(word)
for lexid, wtype, words, ptrs, defin in lookup(word):
for w in words:
if lexid == category:
res.add(w)
work(w, recurse - 1)
for ptype, pwtype, poffset in ptrs:
if ptype not in ('&', '@'):
continue
lexid, wtype, words, ptrs, defin = lookup_offset(pwtype, poffset)
for w in words:
work(w, recurse - 1)
for word in examples:
work(word, depth)
return res
def lookup(lemma, wtypes=None):
"""Return all WordNet entries associated with a particular word"""
lemma = lemma.lower().replace(' ', '_')
wtypes = wtypes or ('noun', 'verb', 'adj', 'adv')
for wtype in wtypes:
lemmas, offsets = index[wtype]
i = bisect.bisect_left(lemmas, lemma)
if i < len(lemmas) and lemma == lemmas[i]:
for offset in offsets[i]:
yield lookup_offset(wtype, offset)
def lookup_offset(wtype, offset):
"""Look up a WordNet entry provided the word type and offset in file"""
data[wtype].seek(int(offset))
line = data[wtype].readline()
fields, definition = line.split(' | ', 1)
definition = definition.strip()
fields = fields.split()
assert fields[0] == offset
wcnt = int(fields[3], 16)
lexid = int(fields[1])
j = 4
words = [w.replace('_', ' ') for w in fields[j:j + wcnt * 2:2]]
j += wcnt * 2
pcnt = int(fields[j])
j += 1
ptrs = []
for i in range(pcnt):
ptype = fields[j]
poffset = fields[j + 1]
pwtype = _wtypefix(fields[j + 2])
psrctar = fields[j + 3]
ptrs.append((ptype, pwtype, poffset))
j += 4
return (lexid, wtype, tuple(words), tuple(ptrs), definition)
def _load(name):
"""Load index into sorted tuple for binary search (1/3 memory of a dict)"""
lemmas = []
offsets = []
with open(os.path.join(wordnetdir, 'index.' + name)) as fp:
for line in fp:
if line.startswith(' '):
continue
line = line.split()
lemmas.append(line[0])
offsets.append(tuple(p for p in line[1:] if len(p) == 8))
return tuple(lemmas), tuple(offsets)
def _wtypefix(wtype):
return {
'n': 'noun',
'v': 'verb',
'a': 'adj',
'r': 'adv',
}[wtype]
def ptrname(ptype, wtype='noun'):
if ptype == '\\':
if wtype == 'adv':
return 'Derived from adjective'
else:
return 'Pertainym (pertains to noun)'
return {
'!': 'Antonym',
'@': 'Hypernym',
'@i': 'Instance Hypernym',
'~': 'Hyponym',
'~i': 'Instance Hyponym',
'#m': 'Member holonym',
'#s': 'Substance holonym',
'#p': 'Part holonym',
'%m': 'Member meronym',
'%s': 'Substance meronym',
'%p': 'Part meronym',
'*': 'Entailment',
'>': 'Cause',
'^': 'Also see',
'$': 'Verb Group',
'=': 'Attribute',
'&': 'Similar to',
'+': 'Derivationally related form',
';c': 'Domain of synset - TOPIC',
'-c': 'Member of this domain - TOPIC',
';r': 'Domain of synset - REGION',
'-r': 'Member of this domain - REGION',
';u': 'Domain of synset - USAGE',
'-u': 'Member of this domain - USAGE',
}[ptype]
codedir = os.path.dirname(os.path.abspath(__file__))
wordnetdir = os.path.join(codedir, 'data/wordnet')
data = {
'noun': open('data/wordnet/data.noun'),
'verb': open('data/wordnet/data.verb'),
'adj': open('data/wordnet/data.adj'),
'adv': open('data/wordnet/data.adv'),
}
if not os.path.exists(os.path.join(wordnetdir, 'index.marshal')):
index = {
'noun': _load('noun'),
'verb': _load('verb'),
'adj': _load('adj'),
'adv': _load('adv'),
}
with open(os.path.join(wordnetdir, 'index.marshal'), 'w') as fp:
marshal.dump(index, fp)
else:
with open(os.path.join(wordnetdir, 'index.marshal')) as fp:
index = marshal.load(fp)
lexnames = {
0: "adj.all",
1: "adj.pert",
2: "adv.all",
3: "noun.tops",
4: "noun.act",
5: "noun.animal",
6: "noun.artifact",
7: "noun.attribute",
8: "noun.body",
9: "noun.cognition",
10: "noun.communication",
11: "noun.event",
12: "noun.feeling",
13: "noun.food",
14: "noun.group",
15: "noun.location",
16: "noun.motive",
17: "noun.object",
18: "noun.person",
19: "noun.phenomenon",
20: "noun.plant",
21: "noun.possession",
22: "noun.process",
23: "noun.quantity",
24: "noun.relation",
25: "noun.shape",
26: "noun.state",
27: "noun.substance",
28: "noun.time",
29: "verb.body",
30: "verb.change",
31: "verb.cognition",
32: "verb.communication",
33: "verb.competition",
34: "verb.consumption",
35: "verb.contact",
36: "verb.creation",
37: "verb.emotion",
38: "verb.motion",
39: "verb.perception",
40: "verb.possession",
41: "verb.social",
42: "verb.stative",
43: "verb.weather",
44: "adj.ppl",
}
lexids = {v: k for k, v in lexnames.items()}
if __name__ == '__main__':
if sys.argv[1] == 'tree':
for lexid, wtype, words, ptrs, defin in lookup(sys.argv[2]):
s = "%s (%s)" % (', '.join(words), lexnames[lexid])
print "%-90s %s" % (s, defin)
for ptype, pwtype, poffset in ptrs:
lexid, wtype, words, ptrs, defin = lookup_offset(pwtype, poffset)
s = "%s: %s (%s)" % (ptrname(ptype, wtype), ', '.join(words), lexnames[lexid])
print " %-86s %s" % (s, defin)
for ptype, pwtype, poffset in ptrs:
lexid, wtype, words, ptrs, defin = lookup_offset(pwtype, poffset)
s = "%s: %s (%s)" % (ptrname(ptype, wtype), ', '.join(words), lexnames[lexid])
print " %-82s %s" % (s, defin)
if sys.argv[1] == 'lexs':
lexs = {}
for word in sys.argv[2:]:
for lexid, wtype, words, ptrs, defin in lookup(word):
lexs.setdefault(lexid, 0)
lexs[lexid] += 1
for lexid, score in sorted(lexs.items(), key=lambda x: x[1], reverse=True):
examples = list(similar(lexnames[lexid], sys.argv[2:]))[:10]
print score, lexnames[lexid], '(' + ', '.join(examples) + ')'
if sys.argv[1] == 'similar':
for w in similar(sys.argv[2], sys.argv[3:]):
print w