def lemmatizer(self):
"""
The `.lemmatizer` property lazily loads an MBLEM lemmatizer from the
disk. The resulting object is an instance of
:class:`simplenlp.mblem.trie.Trie`.
"""
if not hasattr(self, '_lemmatizer'):
from simplenlp.mblem import get_mblem
self._lemmatizer = get_mblem(self.lang)
return self._lemmatizer
def lemmatizer(self):
"""
The `.lemmatizer` property lazily loads an MBLEM lemmatizer from the
disk. The resulting object is an instance of
:class:`simplenlp.mblem.trie.Trie`.
"""
if not hasattr(self, '_lemmatizer'):
from simplenlp.mblem import get_mblem
self._lemmatizer = get_mblem(self.lang)
return self._lemmatizer
from simplenlp.mblem import get_mblem
from collections import defaultdict
stems = defaultdict(lambda: defaultdict(list))
enm = get_mblem('en')
for line in open('enable'):
word = line.strip()
leaves = enm.lookup(enm.permute(word))
for leaf in leaves:
stem, _, _ = leaf.apply(word)
if '?' in stem: continue
stems[leaf.pos, leaf.inflections][stem].append(leaf.add+'+'+leaf.delete)
for posinfl, map in stems.items():
pos, infl = posinfl
out = open('en_unlem/%s.%s.train' % (pos, infl), 'w')
for stem, leaves in map.items():
items = list(stem[::-1])
items = items[:20]
items += ['='] * (20-len(items))
items.append('|'.join(leaves))
print >> out, ','.join(items)
out.close()