In English, we have a concept called root, which can be followed by some other words to form another longer word - let's call this word successor. For example, the root an, followed by other, which can form another word another.
Now, given a dictionary consisting of many roots and a sentence. You need to replace all the successor in the sentence with the root forming it. If a successor has many roots can form it, replace it with the root with the shortest length.
You need to output the sentence after the replacement.
Example 1:
Input: dict = ["cat","bat","rat"], sentence = "the cattle was rattled by the battery"
Output: "the cat was rat by the bat"
Constraints:
The input will only have lower-case letters.
1 <= dict.length <= 1000
1 <= dict[i].length <= 100
1 <= sentence words number <= 1000
1 <= sentence words length <= 1000
classSolution {// This is the function called initiallypublicStringreplaceWords(List<String> dict,String sentence) {String[] tokens =sentence.split(" ");TrieNode trie =buildTrie(dict);returnreplaceWords(tokens, trie); }privateStringreplaceWords(String[] tokens,TrieNode root) {StringBuilder stringBuilder =newStringBuilder();for (String token : tokens)stringBuilder.append(getShortestReplacement(token, root)+" ");// removing last spacereturnstringBuilder.substring(0,stringBuilder.length() -1); }// Searhing in trie functionprivateStringgetShortestReplacement(String token,finalTrieNode root) {TrieNode temp = root;StringBuilder str =newStringBuilder();for (char c :token.toCharArray()) {str.append(c);if (temp.children[c -'a'] !=null) {if (temp.children[c -'a'].isWord)returnstr.toString(); temp =temp.children[c -'a']; } elsereturn token; }return token; }// Trie building functionprivateTrieNodebuildTrie(List<String> dict) {TrieNode root =newTrieNode(' ');for (String word : dict) {TrieNode temp = root;for (char c :word.toCharArray()) {if (temp.children[c -'a'] ==null)temp.children[c -'a'] =newTrieNode(c); temp =temp.children[c -'a']; }temp.isWord=true; }return root; }publicclassTrieNode {char val;TrieNode[] children;boolean isWord;publicTrieNode(char val) {this.val= val;this.children=newTrieNode[26];this.isWord=false; } }}