Word Break Ii

To solve this coding challenge, we need to break down the problem statement and develop an understanding of how to approach it using a combination of recursive backtracking and dynamic programming.

Explanation

The problem asks us to determine all possible ways to break a given string
s
into valid words found in the dictionary
wordDict
. To do this effectively, we need to explore all possible ways to insert spaces in the string
s
such that each segmented part is a valid word from the dictionary. A viable approach to solve this challenge would be using backtracking along with memoization to keep track of already explored segments to optimize and avoid redundant computations.
Steps to Approach the Problem:
  1. Backtracking : We need to use backtracking to explore all possible breaks in the string
    s
    .
  2. Memoization : To optimize the solution, use a dictionary to memoize results for already computed substrings. This will help avoid recomputation and improve performance significantly.
  3. Recursive Subroutine : Define a recursive subroutine that attempts to break the string from the current position to the end. If a valid word is found in the dictionary, recursively call the subroutine for the next segment.
  4. Base Case : The base case occurs when the starting index reaches the end of the string
    s
    . At this point, the constructed path will represent one of the possible valid sentences.
  5. Here’s how the pseudocode would look, incorporating detailed comments to explain each step:
                                                
    # Function to perform the word break operation
    FUNCTION wordBreak(s: STRING, wordDict: LIST OF STRINGS) -> LIST OF STRINGS
    # Convert wordDict list to a set for O(1) look-up times
    wordSet <- CONVERT_TO_SET(wordDict)
    
    # Dictionary to memoize results for different starting indices
    memo <- EMPTY_MAP
    
    # Internal helper function for backtracking
    FUNCTION backtrack(start: INTEGER) -> LIST OF STRINGS
    # Check if the current start index is already memoized
    IF start IN memo THEN
    RETURN memo[start]
    
    # Initialize a list to store sentences created from the current start index
    sentences <- EMPTY_LIST
    
    # Base Case: If we have reached the end of the string, return an empty path
    IF start == LENGTH(s) THEN
    sentences.APPEND("")
    RETURN sentences
    
    # Iterate over all possible end indices to create substrings from start to end
    FOR end FROM start + 1 TO LENGTH(s) + 1 DO
    currentSubstring <- SUBSTRING(s, start, end)
    
    # Check if the current substring is a valid word
    IF currentSubstring IN wordSet THEN
    # Recursively call backtrack for the remaining part of the string
    CONTINUE_SENTENCES <- backtrack(end)
    
    # Concatenate the current word with the results from recursive call
    FOR sentence IN CONTINUE_SENTENCES DO
    IF sentence == "" THEN
    sentences.APPEND(currentSubstring)
    ELSE
    sentences.APPEND(currentSubstring + " " + sentence)
    
    # Memoize the results for the current start index
    memo[start] <- sentences
    RETURN sentences
    
    # Initiate the backtracking from the start of the string
    RETURN backtrack(0)
    
                                            
    Step-by-Step Explanation
  6. Initialization :
    • Convert
      wordDict
      to a set called
      wordSet
      for faster lookup.
    • Define a memoization dictionary
      memo
      to store results of subproblems.
  7. Backtracking Function :
    • Create an internal function
      backtrack
      that will recursively try to break the string.
    • If the result for the current
      start
      is already in
      memo
      , return the memoized result.
  8. Base Case :
    • If
      start
      equals the length of
      s
      , append an empty string to the list
      sentences
      to signify a valid segmentation and return it.
  9. Iterate Over Possible Breaks :
    • Loop through possible end indices and extract the current substring.
    • If the substring is a valid word in
      wordSet
      , perform a recursive call to
      backtrack
      from the current
      end
      index.
  10. Concatenate Results :
    • For each result from the recursive call, concatenate the current substring with the sentences generated from the subsequent recursive breaks.
    • Handle the case where the sentence is empty separately to avoid leading spaces.
  11. Memoization and Return :
    • Store the generated sentences in
      memo
      to use in future calls.
    • Start the backtracking process from the beginning of the string and return the result.
By following this detailed step-by-step explanation and pseudocode, you can efficiently solve the problem of finding all valid word breaks for the given string using the provided dictionary.