def main():
global nGramList, tokenList
print "Perplexity for Dataset 4 using Laplace Smoothing"
nGramList = task_one.generateNgram(N, task_one.corpus4)
fileText = task_one.readFile(task_one.corpus4test)
tokenList = task_one.modifyFile(fileText)
extendedMain()
def main(): global nGramList, tokenList print "Perplexity for Dataset 3 using Laplace Smoothing" nGramList = task_one.generateNgram(N,task_one.corpus3) fileText = task_one.readFile(task_one.corpus3test) tokenList = task_one.modifyFile(fileText) extendedMain()
def main():
#print nGramList
global N
if len(sys.argv) > 1:
N = int(sys.argv[1])
else:
N = 2
#print N
global nGramList
nGramList = task_one.generateNgram(N,task_one.corpus3) # Generate Ngram for N=1, N=2, N=3
print "Dataset3"
extendedmain()
nGramList = []
nGramList = task_one.generateNgram(N,task_one.corpus4) # Generate Ngram for N=1, N=2, N=3
print "Dataset4"
extendedmain()
def main():
#print nGramList
global N
if len(sys.argv) > 1:
N = int(sys.argv[1])
else:
N = 2
#print N
global nGramList
nGramList = task_one.generateNgram(
N, task_one.corpus3) # Generate Ngram for N=1, N=2, N=3
print "Dataset3"
extendedmain()
nGramList = []
nGramList = task_one.generateNgram(
N, task_one.corpus4) # Generate Ngram for N=1, N=2, N=3
print "Dataset4"
extendedmain()
#Task 3 : Handle unknown words and implement smoothing
from __future__ import division
import math
import task_one
N = 2
print "Perplexity for Dataset 3 using Laplace Smoothing"
nGramList = task_one.generateNgram(N,task_one.corpus3)
laplaceList = []
fileText = task_one.readFile(task_one.corpus3test)
tokenList = task_one.modifyFile(fileText)
nGramTestList = []
def findVocabCount():
vocabCount = 0
unigram = nGramList[0]
for t in unigram:
vocabCount = vocabCount + unigram[t]
return vocabCount
def combineTokens(listWithUnknown):
dictTokensWithUnknown = dict()
#print listWithUnknown
for n in listWithUnknown:
dictTokensWithUnknown = dict(dictTokensWithUnknown.items() + n.items())
#print dictTokensWithUnknown
return dictTokensWithUnknown
