# 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