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Computational Linguistics

Welcome to the computational_linguistics repository! This project is dedicated to the fascinating world of computational linguistics and features a range of Python scripts and resources that dive deep into natural language processing (NLP), text analysis, and linguistic data manipulation.

What's Inside

This repository is structured to provide a hands-on approach to computational linguistics:

  • Scripts: Focused Python scripts demonstrating various NLP techniques such as tokenization, parsing, semantic analysis, and more.
  • Datasets: Curated datasets to help you practice and implement algorithms that process and analyze linguistic data.
  • Tutorials: Step-by-step guides to get you started with the basics of computational linguistics and advance your skills.
  • References: A collection of papers, articles, and links to essential resources in the field of computational linguistics.

Getting Started

To get started with this repository, you'll need to have Python installed on your machine. It's recommended to use a virtual environment to manage dependencies:

# Clone this repository
git clone https://github.com/DianaHoefels/computational_linguistics.git

# Navigate to the repository
cd computational_linguistics

# Create a virtual environment
python -m venv venv

# Activate the virtual environment
# On Windows
venv\Scripts\activate
# On Unix or MacOS
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

Contributing

Contributions to the computational_linguistics project are welcome! Here's how you can contribute:

  • Issues: Submit issues for bugs, enhancements, or feature requests.
  • Pull Requests: Submit a pull request with your proposed changes or enhancements.
  • Feedback: Provide feedback on current features or suggest new ideas.

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests to us.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • Thanks to all the contributors who've helped to build and maintain this resource.
  • Special thanks to academic and community leaders who continue to inspire and push the boundaries of computational linguistics.