Difference between revisions of "CISC181 S2017 Lab8"
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| − | In this lab you will analyze text files by breaking them into [https://en.wikipedia.org/wiki/N-gram ''n-grams''] at the character level, and use those n-grams to generate random text in the same "style" (in a statistical sense). | + | In this lab you will analyze text files by breaking them into [https://en.wikipedia.org/wiki/N-gram ''n-grams''] at the character level, and use those n-grams to generate random text in the same "style" (in a statistical sense). An n-gram is a sequence of n consecutive characters from the input. The complete set of n-grams for a text overlap each other--for example, if the text is "woodchucks", the 3-grams are "woo", "ood", "odc", "dch", "chu", "huc", "uck", and "cks". |
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| + | Your job is to find all of the n-grams for a text, and furthermore to record all of the possible characters that follow each particular n-gram. | ||
Suppose, for example, that you are working with 2-grams, and you have found that 80% of the time "th" is followed by "e ", 10% by "is", 7% by "at", and 3% by "es". Then, when you are generating text, after you have generated "th" you should randomly choose "e " with probability 0.8, "is" with probability 0.1, "at" with probability 0.07, and "es" with probability 0.03. | Suppose, for example, that you are working with 2-grams, and you have found that 80% of the time "th" is followed by "e ", 10% by "is", 7% by "at", and 3% by "es". Then, when you are generating text, after you have generated "th" you should randomly choose "e " with probability 0.8, "is" with probability 0.1, "at" with probability 0.07, and "es" with probability 0.03. | ||
Revision as of 10:09, 17 April 2017
Preliminaries
- Make a new project with n = 8 (following these instructions)
- Name your main class "Lab8" (when creating a new module in the instructions above, in the Java class name field)
- Modify Lab8.java by adding your name and section number in a comment before the Lab8 class body.
Instructions
In this lab you will analyze text files by breaking them into n-grams at the character level, and use those n-grams to generate random text in the same "style" (in a statistical sense). An n-gram is a sequence of n consecutive characters from the input. The complete set of n-grams for a text overlap each other--for example, if the text is "woodchucks", the 3-grams are "woo", "ood", "odc", "dch", "chu", "huc", "uck", and "cks".
Your job is to find all of the n-grams for a text, and furthermore to record all of the possible characters that follow each particular n-gram.
Suppose, for example, that you are working with 2-grams, and you have found that 80% of the time "th" is followed by "e ", 10% by "is", 7% by "at", and 3% by "es". Then, when you are generating text, after you have generated "th" you should randomly choose "e " with probability 0.8, "is" with probability 0.1, "at" with probability 0.07, and "es" with probability 0.03.
RandomWriter
You are to implement a Java public class RandomWriter that provides a random writing application. Your class should have a two-argument constructor that takes:
- String source: The name of an input file to read and analyze
- int n: A non-negative number indicating the length of each "gram," or character sequence, to break the file into
and also a method generateText() that takes the following two parameters:
- int length: A non-negative number of characters to generate.
- String result: The name of the output file
Testing
In main(), run your code on the following files:
Generate approximately 500 characters of text for each input. Print the text in reasonable length lines, breaking only at spaces (not in the middle of a word). Do this for 1-grams, 2-grams, 4-grams, and 6-grams.
Acknowledgments
This assignment is shamelessly copied from one created by David Matuszek at the University of Pennsylvania.
