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 | (Display Content)
- Trie | (Insert and Search)
- Advantages of Trie Data Structure
- Trie memory optimization using hash map
- Program for assigning usernames using Trie
- Longest Common Prefix using Trie
- Auto-complete feature using Trie
- Pattern Searching using a Trie of all Suffixes
- Word Break Problem | (Trie solution)
- Count of distinct substrings of a string using Suffix Trie
Improved By : princiraj1992