Introduction

Jejemonly is a desktop application designed to normalize Jejemon-style text into standard readable text. The system uses a step-by-step transformation process, making it useful for academic tasks like Natural Language Processing and text preprocessing.

Features

1. GUI-based interface using PyQt5

2. Step-by-step normalization process:

• Punctuation cleanup
• Character replacement
• Tokenization
• Final normalized output

3. Visual guide using custom fonts and images

4. Fun and interactive learning tool for NLP basics

Sample Screenshots

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Logic behind it

The core logic of JejemOnly lies in its multi-step normalization pipeline designed to clean and convert Jejemon-style text into standard, readable language. Each step plays a specific role in reducing noise and restoring clarity:

Punctuation Evaluation

• Irregular punctuation marks are removed or replaced with proper punctuation.
• Ensures the sentence structure becomes more readable before deeper processing.

Character Replacement

• Jejemon text often uses numbers and symbols in place of letters (e.g., "h3ll0" → "hello").
• A mapping system replaces distorted characters with their normal equivalents based on a predefined lexicon.

Tokenization

• The cleaned text is split into tokens (words or phrases), making it easier to apply normalization rules per word.
• Helps prepare the text for matching with standard words.

Lexical Matching and Normalization

• Each token is checked against a dictionary or pattern rules to determine its closest standard equivalent.
• This includes using string similarity metrics (like edit distance) to handle misspellings and exaggerated word forms.

Final Output Generation

• The normalized tokens are reassembled into a clean, human-readable sentence.
• The output aims to retain the original intent while improving clarity and readability.