This repository explores the phenomenon of syntactic errors in neural networks. It aims to analyze how neural networks process and understand language, particularly focusing on their handling of syntactic structures.
code/: Contains source code used in experiments and analysis.data/: Includes datasets used for training and evaluating neural network models.experiment_tracking/: Stores logs and results from various experiments.figures/: Visual representations and graphs derived from experimental data.references/: Relevant literature and resources.
- Install dependencies from
requirements.txt. - Explore python files in the
code/directory for insights into the methodologies and analyses.
Contributions are welcome. Please read the contributing guidelines before making pull requests.
This project is licensed under the MIT License - see the LICENSE file for details.