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README.md

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# CS101/3 - CS/AI Assignment 3
Assignment 3 is just like Assignment 2 but with words instead of letters.
You may wish to use the Python NLTK (https://www.nltk.org) Natural Language
Toolkit to help break the text up into tokens (words)
You may adapt the helper functions from Assignment 2 to work with words
rather than letters or you may write your own from scratch
Optionally, instead of doing this programming exercise, you may write a
short essay, no longer than 2000 words on one of the topics that we have
touched on in the philosophy of mind:
- Turing's Imitation Game
- Dneprov's Game (or, equivalently, Searle's Chinese Room)
- Logical Behaviorism or Functionalism
- The Engineering End-Run
Assignment 3 is worth 30% in total.
## 3a word probabilities - 10%
Given an input text, compute the word probabilities and generate a word,
xgb21195@cafe:~$ ./assignment-3a example.txt
the
## 3b conditional word probabilities - 10%
Given an input text and a word, generate the next word according to the
conditional probabilities in the text,
xgb21195@cafe:~$ ./assignment-3b example.txt the
cat
## 3c a stochastic parrot - 10%
Given an input text, generate a sentence of a particular length according
to the conditional word distributions,
xgb21195@cafe:~$ ./assignment-3b example.txt 10
the cat ate a burrito that is not a butterfly
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