Rosemary2301/SemRel-Hausa-Project

# Investigating Cross-Lingual Relatedness and Data Augmentation for Hausa This project invesigated the Cross-Lingual relatedness and Data Augementation for the low-level language Hausa. It trains a variety of models using the SemRel database and shows the Spearman correlation, which is a metric used to measure relatedness ## Setup and Installation Run the pip install -r requirements.txt to install specific versions needed ## Repository Structure ``` SemRel-Hausa-Project/ ├── src/ │ ├── load_data.py │ ├── preprocess.py │ ├── stats.py │ ├── NLP_Project_Week2_3.ipynb │ ├── CrossLingual.ipynb │ └── Week5.ipynb ├── data/ │ ├── english_train.csv │ ├── hausa_test.csv │ ├── hausa_train_clean.csv │ └── hausa_train.csv ├── requirements.txt └── README.md ``` ## Order to run Notebooks 1. Load the data by running load_data.py 2. Preprocess the data using preprocess.py 3. Get statistics to verify data is correctly preporccessed by running stats.py 4. NLP_Project_Week2_3.ipynb 5. CrossLingual.ipynb 6. Week5.ipynb ## Data and Model Files The following link is a link to the models that have been trained and saved to Google Drive. View project files