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View Code? Open in Web Editor NEWTweetGen is a project that uses a markov language model to generate unique 'tweets' based off of a corpus.
TweetGen is a project that uses a markov language model to generate unique 'tweets' based off of a corpus.
hash
multiple times to make sure it works whether there are collisions or not, something to keep in mind!__getitem__
to allow your hash table to be used like python's dictionary._create_chain
method to be n-th order rather than just 2nd: n_words = len(word_list)
for i, key1 in enumerate(word_list):
if n_words > (i + self.order): # TODO: use order
key2 = word_list[i + 1]
word = word_list[i + 2]
words = []
for j in range(self.order):
words.append(word_list[i + j])
entry = tuple(words)
print(entry)
if entry not in self:
self[entry] = [word]
else:
self[entry].append(word)
I encourage you to think of how you can modify your walk
method to work with any order as well.
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