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OVERVIEW This program focuses on programming with Java Collections classes. You will implement a module that finds a simplified Levenshtein distance between two words represented by strings. Your program will need support files LevenDistanceFinder.Java, dictionary.txt, while you will be implementing your code in the LevenDistanceFinder.java file. INSTRUCTIONS The Levenshtein distance, named for it's creator Vladimir Levenshtein, is a measure of the distance between two words. The edit distance between two strings is the minimum number of operations that are needed to transform one sting into the other. For a full implementation of the distance we would need to account for three different types of operations, removing a letter, adding a letter, or changing a letter. For THIS program however, we are going to focus solely on the ability to change one letter to another. So, we will be thinking of changing one letter at a time, while maintaining the fact that the word is a still a valid word at all times. So, for an example, the edit distance from "dog" to "cat" is 3. One possible path for this is "dog" to "dot" to "cot" to cat" Note, that there might be other paths, but they all involve at least 3 changes. Another longer example is from "witch" to "coven". witch->watch->match->march->marcs->mares->mores->moves->coves->coven You will be implementing a secondary class called LevenshteinFinder that will be used by the main program to solve the problem.

OVERVIEW This program focuses on programming with Java Collections classes. You will implement a module that finds a simplified Levenshtein distance between two words represented by strings. Your program will need support files LevenDistanceFinder.Java, dictionary.txt, while you will be implementing your code in the LevenDistanceFinder.java file. INSTRUCTIONS The Levenshtein distance, named for it's creator Vladimir Levenshtein, is a measure of the distance between two words. The edit distance between two strings is the minimum number of operations that are needed to transform one sting into the other. For a full implementation of the distance we would need to account for three different types of operations, removing a letter, adding a letter, or changing a letter. For THIS program however, we are going to focus solely on the ability to change one letter to another. So, we will be thinking of changing one letter at a time, while maintaining the fact that the word is a still a valid word at all times. So, for an example, the edit distance from "dog" to "cat" is 3. One possible path for this is "dog" to "dot" to "cot" to cat" Note, that there might be other paths, but they all involve at least 3 changes. Another longer example is from "witch" to "coven". witch->watch->match->march->marcs->mares->mores->moves->coves->coven You will be implementing a secondary class called LevenshteinFinder that will be used by the main program to solve the problem.

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
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ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
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Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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CS145 PROGRAMMING ASSIGNMENT OVERVIEW LEVENSHTEIN DISTANCE This program focuses on programming with Java Collections classes. You will implement a module that finds a simplified Levenshtein distance between two words represented by strings. Your program will need support files LevenDistanceFinder.Java, dictionary.txt, while you will be implementing your code in the LevenDistanceFinder.java file. INSTRUCTIONS The Levenshtein distance, named for it's creator Vladimir Levenshtein, is a measure of the distance between two words. The edit distance between two strings is the minimum number of operations that are needed to transform one sting into the other. For a full implementation of the distance we would need to account for three different types of operations, removing a letter, adding a letter, or changing a letter. For THIS program however, we are going to focus solely on the ability to change one letter to another. So, we will be thinking of changing one letter at a time, while maintaining the fact that the word is a still a valid word at all times. So, for an example, the edit distance from "dog" to "cat" is 3. One possible path for this is "dog" to "dot" to "cot" to cat" Note, that there might be other paths, but they all involve at least 3 changes. Another longer example is from "witch" to "coven". witch->watch->match->march->marcs->mares->mores->moves->coves->coven You will be implementing a secondary class called LevenshteinFinder that will be used by the main program to solve the problem.
Transcribed Image Text:CS145 PROGRAMMING ASSIGNMENT OVERVIEW LEVENSHTEIN DISTANCE This program focuses on programming with Java Collections classes. You will implement a module that finds a simplified Levenshtein distance between two words represented by strings. Your program will need support files LevenDistanceFinder.Java, dictionary.txt, while you will be implementing your code in the LevenDistanceFinder.java file. INSTRUCTIONS The Levenshtein distance, named for it's creator Vladimir Levenshtein, is a measure of the distance between two words. The edit distance between two strings is the minimum number of operations that are needed to transform one sting into the other. For a full implementation of the distance we would need to account for three different types of operations, removing a letter, adding a letter, or changing a letter. For THIS program however, we are going to focus solely on the ability to change one letter to another. So, we will be thinking of changing one letter at a time, while maintaining the fact that the word is a still a valid word at all times. So, for an example, the edit distance from "dog" to "cat" is 3. One possible path for this is "dog" to "dot" to "cot" to cat" Note, that there might be other paths, but they all involve at least 3 changes. Another longer example is from "witch" to "coven". witch->watch->match->march->marcs->mares->mores->moves->coves->coven You will be implementing a secondary class called LevenshteinFinder that will be used by the main program to solve the problem.
SAMPLE EXECUTIONS This is what the program should like when you run it. * Welcome to the Levenshtein Edit distance solver * Please type in two words of the same size that will be used * To find a path between them. ****: ******** What word would you like to start with? --->Witch What word would you like to end with? --->Coven The distance between your words is 9 The path between your words is: witch->watch->match->march->marcs- >mares->mores->moves->coves->coven ***************************** Total execution time: 14407ms. * Welcome to the Levenshtein Edit distance solver * Please type in two words of the same size that will be used * To find a path between them. ****** What word would you like to start with? --->dog What word would you like to end with? --->cat The distance between your words is 3 The path between your words is: dog->dot->cot->cat ****** ******* Total execution time: 1262ms * To find a path between them. ****: ******** ********** * Welcome to the Levenshtein Edit distance solver * Please type in two words of the same size that will be used * ****** What word would you like to start with? --->bookkeeper What word would you like to end with? --->sunglasses The distance between your words is -1 The path between your words is: There is no path ******泡泡! Total execution time: 23378ms. *** *** * * * ***
Transcribed Image Text:SAMPLE EXECUTIONS This is what the program should like when you run it. * Welcome to the Levenshtein Edit distance solver * Please type in two words of the same size that will be used * To find a path between them. ****: ******** What word would you like to start with? --->Witch What word would you like to end with? --->Coven The distance between your words is 9 The path between your words is: witch->watch->match->march->marcs- >mares->mores->moves->coves->coven ***************************** Total execution time: 14407ms. * Welcome to the Levenshtein Edit distance solver * Please type in two words of the same size that will be used * To find a path between them. ****** What word would you like to start with? --->dog What word would you like to end with? --->cat The distance between your words is 3 The path between your words is: dog->dot->cot->cat ****** ******* Total execution time: 1262ms * To find a path between them. ****: ******** ********** * Welcome to the Levenshtein Edit distance solver * Please type in two words of the same size that will be used * ****** What word would you like to start with? --->bookkeeper What word would you like to end with? --->sunglasses The distance between your words is -1 The path between your words is: There is no path ******泡泡! Total execution time: 23378ms. *** *** * * * ***
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