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Word Break II: Sentence Segmentation

Given a string and a dictionary of words, the goal is to find all possible ways to segment the string into a sequence of words from the dictionary, forming valid sentences. This problem is a classic example of dynamic programming or recursion with memoization, frequently encountered in natural language processing and text analysis tasks where understanding word boundaries is crucial.

Problem Description

You are given a non-empty string s and a dictionary of strings wordDict. Your task is to determine all possible sentences that can be formed by breaking the string s into a space-separated sequence of one or more dictionary words. Each word in the dictionary may be used multiple times.

Key Requirements:

  • The entire string s must be segmented.
  • Each segment must be a valid word present in wordDict.
  • The output should be a list of all possible valid sentences.

Expected Behavior:

  • For each valid segmentation, construct a sentence by joining the words with spaces.
  • The order of words in a sentence matters.

Edge Cases to Consider:

  • The input string s might not be segmentable at all. In this case, return an empty list.
  • The wordDict could be empty.
  • The wordDict might contain very long words or duplicate words.

Examples

Example 1:

Input:
s = "catsanddog"
wordDict = ["cat", "cats", "and", "sand", "dog"]
Output:
["cats and dog", "cat sand dog"]
Explanation:
"catsanddog" can be segmented as "cats and dog" (using "cats", "and", "dog") or "cat sand dog" (using "cat", "sand", "dog").

Example 2:

Input:
s = "pineapplepenapple"
wordDict = ["apple", "pen", "applepen", "pine", "pineapple"]
Output:
["pine apple pen apple", "pineapple pen apple", "pine applepen apple"]
Explanation:
The string can be segmented in three ways:
1. "pine" + "apple" + "pen" + "apple"
2. "pineapple" + "pen" + "apple"
3. "pine" + "applepen" + "apple"

Example 3:

Input:
s = "catsandog"
wordDict = ["cats", "dog", "sand", "and", "cat"]
Output:
[]
Explanation:
The string "catsandog" cannot be segmented into any sequence of words from the given dictionary.

Constraints

  • 1 <= s.length <= 20
  • 1 <= wordDict.length <= 1000
  • 1 <= wordDict[i].length <= 20
  • s and wordDict[i] consist of only lowercase English letters.
  • All strings in wordDict are unique.

Notes

  • Consider using recursion with memoization (dynamic programming) to efficiently solve this problem.
  • A good approach involves breaking down the problem into smaller subproblems: can the suffix of the string be segmented?
  • You might find it helpful to first determine if a string can be segmented at all (similar to the Word Break I problem) before attempting to generate all segmentations. This can act as a pruning step.
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