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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- 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)
- Trie | (Display Content)
- Persistent Trie | Set 1 (Introduction)
- Program for assigning usernames using Trie
- Trie memory optimization using hash map
- Auto-complete feature using Trie
- Advantages of Trie Data Structure
- Pattern Searching using a Trie of all Suffixes
- Longest Common Prefix using Trie
- Word Break Problem | (Trie solution)
Improved By : princiraj1992