PIXELBANKv8.2.1
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Text Normalizer

MediumText Processing

Implement a text normalizer that performs the following steps in order:

  1. Convert to lowercase
  2. Expand common contractions:
    • "don't" -> "do not"
    • "can't" -> "cannot"
    • "won't" -> "will not"
    • "i'm" -> "i am"
    • "it's" -> "it is"
    • "i've" -> "i have"
    • "they're" -> "they are"
    • "we're" -> "we are"
    • "you're" -> "you are"
    • "isn't" -> "is not"
    • "aren't" -> "are not"
    • "wasn't" -> "was not"
    • "weren't" -> "were not"
    • "hasn't" -> "has not"
    • "haven't" -> "have not"
    • "wouldn't" -> "would not"
    • "couldn't" -> "could not"
    • "shouldn't" -> "should not"
    • "didn't" -> "did not"
    • "let's" -> "let us"
  3. Remove all punctuation (keep only alphanumeric and spaces)
  4. Collapse multiple spaces into a single space and strip leading/trailing spaces

Input: A single line of text Output: The normalized text

Example:

Input:
I can't believe it's already 2024!
Output:
i cannot believe it is already 2024
Reasoning:

Step 1: Lowercase "i can't believe it's already 2024!"

Step 2: Expand contractions "can't" -> "cannot", "it's" -> "it is" "i cannot believe it is already 2024!"

Step 3: Remove punctuation Remove "!" -> "i cannot believe it is already 2024"

Step 4: Collapse spaces Already single-spaced, result: "i cannot believe it is already 2024"

Constraints:

  • Input is a single string
  • Apply steps in the order listed: lowercase, expand, remove punctuation, collapse spaces
  • Only the listed contractions need to be handled
  • After normalization, words are separated by single spaces
Editor

Test Results

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