pycl/Code/ngram.py
def deSerialize(self, filename = "ngrams"):
		"""Read ngram model from filename."""
		try:
			if filename == "ngrams":
				filename = filename + str(self.ngrams["__n__"]) + ".p"
			if os.path.exists(filename):
				self.ngrams = pickle.load(open(filename))
				self.__changed = True
		except Exception, e:
			print "Exception %s" % e
		# sparcify ngram dictionary for speed increase
		e = self.ngrams.copy()
		self.ngrams.update(e)
Read ngram model from filename.
Read ngram model from filename.
Read ngram model from filename .
def deSerialize(self, filename = "ngrams"):
		try:
			if filename == "ngrams":
				filename = filename + str(self.ngrams["__n__"]) + ".p"
			if os.path.exists(filename):
				self.ngrams = pickle.load(open(filename))
				self.__changed = True
		except Exception, e:
			print "Exception %s" % e
		e = self.ngrams.copy()
		self.ngrams.update(e)
def deSerialize ( self , filename = "ngrams" ) : try : if filename == "ngrams" : filename = filename + str ( self . ngrams [ "__n__" ] ) + ".p" if os . path . exists ( filename ) : self . ngrams = pickle . load ( open ( filename ) ) self . __changed = True except Exception , e : print "Exception %s" % e e = self . ngrams . copy ( ) self . ngrams . update ( e )
Read ngram model from filename.
Read ngram model from filename .
"""Read ngram model from filename.""" # sparcify ngram dictionary for speed increase
self
filename