abdulmunimjemal/app_toolkit

Amharic Pre-Procesing Toolkit # Amharic PreProcessing Toolkit (APP-TOOLKIT) The Amharic PreProcessing Toolkit (APP-TOOLKIT) is a collection of Python modules and utilities designed for text processing and preprocessing tasks in Amharic. This toolkit provides functions for stemming, stopwords removal, transliteration, and other text cleaning tasks. It is done as part of a Software Engineering Project featuring "Context-Aware Amharic Spell Checker." ## Project Structure The project is organized as follows: - **app_toolkit/**: This directory contains the Python modules for the toolkit. - `stemmer.py`: Provides Amharic text stemming capabilities. - `stopwords_remover.py`: Removes stopwords from Amharic text. - `transliterate.py`: Transliterates Amharic text to other scripts or vice versa. - `cleaners/`: This subdirectory contains utility functions for text cleaning, such as duplicate removal. - **data/**: You can store data files or resources in this directory if needed for text processing. - **test/**: You can place your test files or scripts in this directory to test the functionality of the toolkit. ## Usage To use the APP-Toolkit, you can import the required modules and functions into your Python scripts. Below is an example of how to use some of the toolkit's functionalities: ```python from app_toolkit import stemmer, stopwords_remover, transliterate # Example usage of stemming: stemmed_word = stemmer.stem("አጭርኛ") print(stemmed_word) # Output: "አጭር" # Example usage of stopwords removal: text = "አጭርኛ ሰው ስቃይ ውጭ ማለት ይሄ ነው" cleaned_text = stopwords_remover.remove_stopwords(text) print(cleaned_text) # Output: "ጭኛ ሰው ስቃይ ውጭ ማለት ነው" # Example usage of transliteration: transliterated_text = transliterate.felig_transliterate("አጭርኛ", "am") print(transliterated_text) # Output: "axarena" ```