Bisratasaye12/ArtaiSpellChecker

Amharic Context Aware Spell Checker # Artai Spell Checker Artai Spell Checker is a simple spell checker implemented in Python. It uses a combination of Damerau-Levenshtein distance and N-gram models to check and suggest corrections for misspelled words. It is done as a group course project. - **Campus**: Addis Ababa Institue of Technology. - **Department**: Software and Information Technology Engineering - **Course**: Fundamentals of Software Engineering I. - **Advisor**: Instructor Nuniyat Kifle Group Members 1. Abdulmunim Jundurahman UGR/8625/14 2. Bisrat Asaye UGR/8508/14 3. Ezana Kifle UGR/4189/14 4. Fuad Mohammad UGR/6052/14 5. Sifan Fita UGR/8856/14 6. Yordanos Zegeye UGR/6316/14 ## Features - Damerau-Levenshtein distance - N-gram model for contextualization ## Getting Started ### Prerequisites - Python 3.x - Required dependencies (specified in `requirements.txt`) ### Installation ```bash pip install -r requirements.txt ``` ### Usage 1. Clone this repository ```bash git clone github.com cd ArtaiSpellChecker ``` 2. Run the spell checker ```bash cd src python main.py ``` ## File Structure - **artai_spell_checker/** - **src/** - `__init__.py`: Initialization file for the `spell_checker` module. - `spell_checker.py`: Implementation of the `SpellChecker` class. - `damerau_levenshtein.py`: Implementation of the Damerau-Levenshtein distance. - `ngram_model.py`: Implementation of N-gram model functions. - `train.py`: Training and usage of a bigram language model on the corpus for suggestion ranking. - **utils/** - `__init__.py`: Initialization file for the `utils` module. - `file_reader.py`: Implementation of file reading functions. - `amharic_tokenizer.py`: Implementation of an Amharic tokenizer. - `amharic_normalizer.py`: Implementation of an Amharic normalizer. - `amharic_dictionart.py`: Implementation of an Amharic Dictionary for Word Lookup. - `main.py`: Main s …