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Introduction to Project 2: Java Command Line Spell Checker Using Trie Structure

In this project, we implement a command line spell checker in Java that utilizes a Trie data structure to efficiently manage a dictionary of words. The program looks up words, compares them in a case-insensitive manner, and suggests corrections using edit distance metrics. If a word is found, it is listed; if not, the program provides the most similar word or indicates that no match exists. The Trie structure is recursively defined and tracks the word and node counts. Additional string manipulation with StringBuilder enhances performance.

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Introduction to Project 2: Java Command Line Spell Checker Using Trie Structure

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  1. CS 240Week 2

  2. Introduction to Project 2 • Command Line Syntax java Spell word -- source file hard wired into program • Run Demo

  3. Basic Algorithm • Look up word in dictionary • Comparison is case insensitive • If found List the word Else if a similar word is found List the most similar word Else Indicate no word found • See project description for syntax • The input word must consist of 1 or more letters

  4. Dictionary Must Be Represented as Trie • A tree like structure defined recursively • Root node • Internal nodes (sub-Tries) • Leaf nodes have no sub-Tries • Each node contains • A count • A value > 0 represents the number times a word in the dictionary (represented by a path through the tree to the current node) appears in the dictionary. • 26 Sub-Tries having the values ‘a’..’z’ • The Trie (or root of the Trie) contains • The number of words in the dictionary • The number of nodes in the dictionary

  5. Trie Operations • Constructor • Methods • add(String word) • find(String word); may return null • intgetWordCount() • IntgetNodeCount()

  6. What Does It Mean for a Word to Be Similar to Another Word • Edit Distance • Deletion distance • Transposition distance • Alteration distance • Insertion distance • Edit Distance 1 and 2

  7. Making the Output Deterministic • One word is “more similar” than another word Based on the following priorities • A word that is has an edit distance of one has a higher priority than one that is has an edit distance of 2 • If both words have the same edit distance then select the one that appears more frequently in the dictionary • If two words appear equally often in the dictionary then pick the one the is alphabetically first.

  8. Additional String Operations • s.toLowerCase() • s.toUpperCase() • StringBuilder • Building strings using “+” is expensive • StringBuilderstrBuilder = new StringBuilder() • strBuilder.append(String) • Can be anything that has a toString method or atomic type • strBuilder.delete(int, int) • strBuilder.setCharAt(int,char) • Code Examples

  9. Interfaces • Interaction contract • At any place in a java program you an have variables of the interface type • Object in variables must be instance of an implementing class • Keyword “implements” • Like .h file in concept (conceptually similar to abstract class) • Contains • Constants (static and final) • Method signatures • You must provide an implementing class

  10. Interface Example • StudentListInterface.java: The interface • ArrayStudentList.java: implements StudentListInterface.java • ArrayListStudentList.java: implements StudentListInterface.java • TestingStudentListInterface.java

  11. Interesting Addition of For Loops • for(String s = “”; s != null; s = f.readLine()) … • Use of finally • Example Code • testFile – put in same directory as Example Code

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