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This tree is used to store definitions of words each definition has two parts, a word and  its description (explanation) both of which are strings

INSTRUCTIONS TO CANDIDATES
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You are asked to design and implement a binary search tree that simulates a dictionary.

This tree is used to store definitions of words. Each definition has two parts, a word and  its description (explanation) both of which are strings.   The program starts by displaying the following menu:

  1. Create the dictionary
  2. Add a definition
  3. Remove a definition
  4. Search for a definition
  5. Print dictionary
  6. Display tree
  7. Exit

-----------------------------------

Enter your choice:

Create the dictionary – The program prompts the user for the name of a text file where word definitions are stored.  Each word definition is stored on a line in the file. The definition has two parts, the word and its description, delineated with a colon ( : )

Following is an example of how the text file should look like:

Human Being: Evolved homosapien

Pen: Tool used to write

The text file is then parsed and the definitions are extracted and stored in appropriate objects.  A binary search tree containing all the definitions is then constructed according to the order of appearance of the definitions in the text file. Definitions are compared by their word field hence, the word “animal” is smaller than the word “job”.  If the text file  is not found, the program should prompt for the name again. This is repeated three times, if after three times, the file with the specified name is still not found, the menu is displayed again.

 

Add a definition – This option allows the user to enter new definitions  in the tree. A definition(word+description)  can appear only once in the tree. The definitions are sorted alphabetically (by word).  Two definitions  are said to be  equal if they have the same word and  the same explanation. Two equal definitions cannot be in the tree at the same time. Two definitions are said to be homonyms if they have the same word but different explanations. Two homonyms are allowed  in the tree at the same time.

Remember to keep the binary search nature of the tree when you add new elements.

Remove a definition– This option prompts the user for a word to remove. If one or more definitions  of this word are found, they are all displayed and numbered. The user can either delete them all from the tree or specify which one to remove. If no definition of this word is found,  an appropriate message is displayed.

Remember to keep the binary search nature of the tree when you remove elements.

Search for a definition– This option allows the user to search for the definition of a word in the tree. All definitions of the input word are displayed on the screen.

Remember to take advantage of the binary search nature of the tree while doing the search.

Print  dictionary – This prints all the definitions sorted lexicographically by word.

Display tree – Prints the tree with a proper indentation per level. There are no specific requirements for this. Be creative and impress us!

 

Exit – Terminates the program after saving all modifications to the text file.

 

Notes:

 

  • All the methods listed above except the delete option should be written recursively. If a method is not written recursively, you will get partial credit for it.
  • Define the tree from scratch. Do not re-use JAVA APIs for any sort of trees.
  • Make sure the tree is a binary search tree and remains so throughout the execution of the program.

 

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