bInfile.close()
bToks = ts.getTokens(bTxt)
bTypes = ts.getTypes(bTxt)
# (C) Write out token and type counts to outFile
outFile.write('There are a total of '+str(len(bToks))+' word tokens and '+\
str(len(bTypes))+' word types in the King James Bible.'+'\n\n')
# (D) Create bigram frequency dictionary
bBigrFreq = {}
for bigr in ts.getWordNGrams(bToks, 2):
if bigr in bBigrFreq: bBigrFreq[bigr] += 1
else: bBigrFreq[bigr] = 1
# (E) Write out the top bigrams and their counts
n1 = 20
outFile.write('Top '+str(n1)+' word bigrams in the Bible:\n')
for bigr in sorted(bBigrFreq, key=bBigrFreq.get, reverse=True)[:n1]:
outFile.write(bigr[0]+' '+bigr[1]+'\t\t'+str(bBigrFreq[bigr])+'\n')
outFile.write('\n')
# (F) Create 'so-initial' bigram frequency dictionary
bInfile.close()
bToks = ts.getTokens(bTxt)
bTypes = ts.getTypes(bTxt)
# (C) Write out token and type counts to outFile
outFile.write('There are a total of '+str(len(bToks))+' word tokens and '+\
str(len(bTypes))+' word types in Obama\'s speech.'+'\n\n')
# (D) Create bigram frequency dictionary
bBigrFreq = {}
for bigr in ts.getWordNGrams(bToks, 2):
if bigr in bBigrFreq: bBigrFreq[bigr] += 1
else: bBigrFreq[bigr] = 1
# (E) Write out the top bigrams and their counts
n1 = 20
outFile.write('Top '+str(n1)+' word bigrams in the Bible:\n')
for bigr in sorted(bBigrFreq, key=bBigrFreq.get, reverse=True)[:n1]:
outFile.write(bigr[0]+' '+bigr[1]+'\t\t'+str(bBigrFreq[bigr])+'\n')
outFile.write('\n')
# (F) Create 'so-initial' bigram frequency dictionary