Given a non-empty string s and a dictionary wordDict containing a list of non-empty words, add spaces in s to construct a sentence where each word is a valid dictionary word. Return all such possible sentences.
Note:
The same word in the dictionary may be reused multiple times in the segmentation.
You may assume the dictionary does not contain duplicate words.
Example 1:
Input:
s = "catsanddog"
wordDict = ["cat", "cats", "and", "sand", "dog"]
Output:
[
"cats and dog",
"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: Note that you are allowed to reuse a dictionary word.
Example 3:
Input:
s = "catsandog"
wordDict = ["cats", "dog", "sand", "and", "cat"]
Output:
[]
Solution: (Backtracking)
classSolution{public: vector<string> res;voidwordUntil(string s,int n,unordered_set<string> &dict,string result) {if (s =="") {result.pop_back();res.push_back(result);return; }for (int i =1; i <= n; i++) { string k =s.substr(0, i);if (dict.find(k) !=dict.end()) {wordUntil(s.substr(i, n - i), n - i, dict, result + k +" "); } }return; }vector<string> wordBreak(string s,vector<string> &wordDict) { unordered_set<string> dict;for (int i =0; i <wordDict.size(); i++) {dict.insert(wordDict[i]); }int n =s.length(); string a ="";wordUntil(s, n, dict, a);return res; }};