Word Ladder Shortest Transformation Sequence
Last updated: March 3, 2025
Quick Overview
Find the shortest transformation sequence from start word to end word, changing one letter at a time, with each intermediate word in the dictionary.
ByteDance
March 3, 202512
3
4,818 solved
Find the shortest transformation sequence from start word to end word, changing one letter at a time, with each intermediate word in the dictionary.
Graph BFS is a top pattern at ByteDance. Word Ladder tests BFS with implicit graph construction from a dictionary.
What the Interviewer Expects
- Model as a BFS problem on an implicit graph
- Implement efficient neighbor generation
- Use bidirectional BFS for optimization
- Handle the dictionary efficiently with wildcard patterns
- Return the shortest path length
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- How would you return the actual transformation path?
- How would you find all shortest paths?
- What if the dictionary is very large (millions of words)?
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Problem Analysis
This problem can be modeled as a Breadth-First Search (BFS) on an implicit graph where each word is a node, and an edge exists between two nodes (words) if they differ by exactly one letter. The BFS a...
Approach
- Build a word dictionary: Store all words in a set for O(1) average time complexity on lookups.
- Generate neighbors: For a given word, generate all possible words by changing each letter t...