Starting from:

$30

Program 2 – Babble

CS212 Data Structures and Algorithms
Program 2 – Babble
In this program, you will write code to read a text file and compute word co-occurrence statistics.
You’ll then use the program to read a text file, such as a book by Dickens, a book of the King
James Bible, or a reading assignment, and generate some meaningless babble that superficially
resembles the source file. In fact, the higher-order the statistics, the more seemingly sensible it
will be, until you study it closely. You’ll be given some sample C# code to start from that reads,
tokenizes, and displays a text file. You have two options.
The first option, worth a maximum of 90% credit, computes first-order statistics. That is, for
each word, it finds all the words that follow it in the file. Then, when generating the output, it
picks a new word at random from that list. That word it chose is added to the output and also
used as the next key to generate the next word.
To do this, use a hash table (Dictionary) of ArrayList objects, defined as in the HashExample
code. Every time a pair of words is read from the file, retrieve the appropriate ArrayList of
succeeding words by using the first word as the key in the hash table. Then Add the second word
onto the ArrayList. To generate output, given the previous word, find the appropriate list of
following words in the hash table and pick a word at random from that list. Initially use the first
word of the file. Note that if you happen to end up with the last word in the source text, there
may not be a successor, so you can either start again at the beginning of the text or pick a spot to
restart at random.
The second option, for full credit, computes Nth-order statistics. N will be set by a UI widget;
possible values are 1 to 5. If N is 4 and the words “It was the best” occur 20 times in the input
file, when you are generating text, the next word you generate should be one of the 20
successors, selected at random. Your key for the hash table should be a combination of the prior
N words, e.g. It-was-the-best, and the list of things stored at that key the next words.
When the Load button is clicked, the program should read the selected file, analyze it according
to the currently selected order, and display the total number of words and the number of unique
keys found (for first-order statistics, the number of unique words; for Nth-order statistics, the
number of unique sequences of N words). When the order is changed, statistics should be
recomputed for the new order. When the “Babble” button is clicked, the program should clear
the output and generate 200 words of random text based on the computed statistics.
Make sure to comment your functions, describing what they do and input and output conditions.
You should use other comments in the code where it would help make clear what is going on.
Use meaningful variable and function names and good programming style.
To get started with this project, open a new WPF project in Visual Studio. (Don’t use Console
App or Windows Forms or other project types.) Delete the C# source code in the .cs file and
paste in the contents of BabbleSample.cs. Delete the contents of the .xaml file and paste in
BabbleSample.xaml. Then build and run.
Also zip up your project directory and submit it through moodle. In the comments box note
whether you got all parts working, first-order vs nth-order, etc.
CS212 Program 2 – Grading Sheet
Due date: _____________
Name: _____________________________ Section: __ Date turned in: _______ Late? _____
Parts of the program I didn’t get to work:
Comments on this assignment:
______________________________For Grader’s Use________________________________
• Program compiles and runs (40) _____
• Reads file; displays number of words and number of unique words (10) _____
• Computes statistics and generates appropriate random text (20) _____
• Algorithm behaves as described. Uses hash tables appropriately (10) _____
• Uses Nth-order statistics (1-5) (10) _____
• Style and mechanics: good programming style including comments (10) _____
Total (100) _____

More products