Implement a dictionary using Trie such that if the input is a string representing a word, the program prints its meaning from the prebuilt dictionary.
Input: str = “map”
Output: a diagrammatic representation of an area
Input: str = “language”
Output: the method of human communication
Approach: We can use a Trie to efficiently store strings and search them. Here, an implementation of a dictionary using Trie (memory optimization using hash-map) is discussed. We add another field to Trie node, a string which will hold the meaning of a word. While searching for the meaning of the required word, we search for the word in Trie and if the word is present (i.e isEndOfWord = true) then we return its meaning otherwise we return an empty string.
Below is the implementation of the above approach:
a diagrammatic representation of an area
- Boggle | Set 2 (Using Trie)
- Trie | (Delete)
- Search in a trie Recursively
- Trie | (Display Content)
- Bottom-up traversal of a Trie
- Insertion in a Trie recursively
- Persistent Trie | Set 1 (Introduction)
- Trie | (Insert and Search)
- Trie memory optimization using hash map
- Counting the number of words in a Trie
- Auto-complete feature using Trie
- Program for assigning usernames using Trie
- Advantages of Trie Data Structure
- Pattern Searching using a Trie of all Suffixes
- Longest Common Prefix using Trie
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