In this video, we delve into an exciting algorithmic problem: replacing words in a sentence with their root words using a Trie data structure. This approach ensures efficient look-up and replacement, making it ideal for applications requiring fast text processing.
📌 Problem Statement:
Given a dictionary of root words and a sentence, replace all derivatives in the sentence with their shortest corresponding root word. This problem is a common scenario in natural language processing and text normalization.
📌 Example:
Input:
Dictionary: ["cat", "bat", "rat"]
Sentence: "the cattle was rattled by the battery"
Output: "the cat was rat by the bat"
📌 Steps Covered:
Introduction to the Problem
Understanding the Trie Data Structure
Building the Trie from the Dictionary
Efficient Word Replacement in the Sentence
Code Implementation in C++, Python, and JavaScript
Complexity Analysis
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