A Trie is used to store dictionary words so that they can be searched efficiently and prefix search can be done. The task is to write a function to count the number of words.
Input : root / \ \ t a b | | | h n y | | \ | e s y e / | | i r w | | | r e e | r Output : 8 Explanation : Words formed in the Trie : "the", "a", "there", "answer", "any", "by", "bye", "their".
In Trie structure, we have a field to store end of word marker, we call it isLeaf in below implementation. To count words, we need to simply traverse the Trie and count all nodes where isLeaf is set.
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- Check if the given Trie contains words starting from every alphabet
- Sorting array of strings (or words) using Trie
- Sorting array of strings (or words) using Trie | Set-2 (Handling Duplicates)
- Check if the given string of words can be formed from words present in the dictionary
- Trie | (Delete)
- Boggle | Set 2 (Using Trie)
- Trie | (Insert and Search)
- Search in a trie Recursively
- Persistent Trie | Set 1 (Introduction)
- Bottom-up traversal of a Trie
- Insertion in a Trie recursively
- Implement a Dictionary using Trie
- Trie | (Display Content)
- Longest Common Prefix using Trie
- Trie memory optimization using hash map
Improved By : princiraj1992