from nltk.tree import Tree
from nltk.stemmer.porter import PorterStemmer
from nltk.featurestructure import FeatureStructure
from nltk_contrib import pywordnet
import enchant
from Senses import Senses, Senses2, Senses3
from DirectionCorpus import printDirs,constructItemRegexp,DirectionCorpusReader,saveParse
from Options import Options
from Utility import logger, lstail
pywordnet.setCacheCapacity(100)
Lexicon = 'Directions/Lexicon2.lex'
Corpus2 = True
if Corpus2: Senses.update(Senses2)
Corpus3 = True
if Corpus3: Senses.update(Senses3)
class ProximateSensesRule(ProximateTokensRule):
PROPERTY_NAME = 'sense' # for printing.
TAG='SENSE'
def extract_property(token): # [staticmethod]
"""@return: The given token's C{SENSE} property."""
return token['SENSE']
extract_property = staticmethod(extract_property)
class ProximateStemsRule(ProximateTokensRule):
PROPERTY_NAME = 'stem' # for printing.
TAG='STEM'
def extract_property(token): # [staticmethod]
from nltk.stemmer.porter import PorterStemmer
from nltk.featurestructure import FeatureStructure
from nltk_contrib import pywordnet
import enchant
from Senses import Senses, Senses2, Senses3
from DirectionCorpus import printDirs, constructItemRegexp, DirectionCorpusReader, saveParse
from Options import Options
from Utility import logger, lstail
pywordnet.setCacheCapacity(100)
Lexicon = "Directions/Lexicon2.lex"
Corpus2 = True
if Corpus2:
Senses.update(Senses2)
Corpus3 = True
if Corpus3:
Senses.update(Senses3)
class ProximateSensesRule(ProximateTokensRule):
PROPERTY_NAME = "sense" # for printing.
TAG = "SENSE"
def extract_property(token): # [staticmethod]
"""@return: The given token's C{SENSE} property."""
return token["SENSE"]
extract_property = staticmethod(extract_property)