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The project smart text editor was done as part of the Coursera course Data Structure and Performance

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MOOCTextEditor

The project MOOCTextEditor or Smart Text Editor was designed and developed as part of the Coursera course Data Structure and Performance that provides functionality of autocomplete, flagging misspelled words and spelling auto-correct. Each module of the course required implementing backend code for the text editor where front-end a runnable JavaFX program and certain graders and tester classes was provided by the UCSD to test and demonstrate the implementations.

MODULE 1:
This module covered working with Strings. The programming assignment for this module was to generate the Flesch Readability Score of a text. The Flesch Readability Score is a measure of the reading complexity of text. Files introduced in this module:
document.Document.java
document.BasicDocument.java

Module 2:
This module covered Efficiency Analysis and Benchmarking i.e. optimizing the implementation of the Document class that was implemented in Module 1, and then measure how much faster the new implementation is. Files introduced in this module:
document.EfficientDocument.java

Module 3:
This module covered implementing and testing a Linked List using JUnit. Files introduced in this module:
textgen.MyLinkedList*.java
textgen.MarkovTextGenerator.java
textgen.MarkovTextGenerator*.java

Module 4:
This module covered working with Trees including Binary Search Trees and Tries. The programming assignment for this module was adding the ability to flag misspelled words as well as perform auto-complete suggestions for the user's text as they type. Files introduced in this module:
spelling.SpellingSuggest.java
spelling.AutoComplete.java
spelling.Dictionary.java
spelling.Dictionary*.java
spelling.AutoCompleteDictionaryTrie.java
spelling.TrieNode.java

Module 5:
This module covered Hash Maps and edit distance. The programming assignment for this module was to implement the highly practical feature of giving someone suggestions for how to correct a misspelled word. Files introduced in this module:
spelling.WordPath.java
spelling.NearbyWords.java
spelling.WPTree.java


SETUP:

Importing Project into eclipse:
1. Create a new Java Project in your workspace
2. Import the starter files:
File -> Import -> Select "File System" -> Next -> Browse and set root directory to folder contents of zip were extracted to -> Finish
3. To use Java FX libraries which is used for GUI provided by UCSD in Eclipse you must install the e(fx)clipse extension for Eclipse.

Notes:

  • Make sure to use Java 8. The RichTextFX API (richtextfx-fat-0.6.10.jar) that is included in the MOOCTextEditor project does not work with Java 9.
  • Feel free to use another IDE or manually compile and run your programs.

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The project smart text editor was done as part of the Coursera course Data Structure and Performance

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