Introduction to Stanza

Stanza is an innovative tool designed to facilitate the visualization and manipulation of dependency graphs using Semgrex and Ssurgeon. These systems allow developers and researchers to efficiently search and manipulate complex dependency structures, which can often be a daunting task. With the introduction of a web interface powered by Streamlit, Stanza makes it easier than ever to visualize and interact with these results.

Key Features of Stanza

• Dependency Graph Visualization: Easily visualize complex dependency graphs with intuitive interfaces.
• Streamlit Integration: Run visualizations seamlessly through a web interface.
• Command Line and API Processing: Utilize a compact language for efficient command line or API interactions.
• Comprehensive Documentation: Access extensive resources to guide users through setup and usage.

Technical Architecture and Implementation

The architecture of Stanza is built around two core components: Semgrex and Ssurgeon. Semgrex is responsible for searching dependency graphs, while Ssurgeon allows for manipulation of the output generated by Semgrex. The compact language utilized by these systems enables efficient processing of dependencies, making it suitable for both command line and API usage.

Setting Up Stanza

To get started with Stanza, follow these steps to set up the Streamlit visualization:

1. Install Streamlit by running:

   pip install streamlit

2. Install Stanford CoreNLP by following the instructions available here.
3. Set the $CLASSPATH environment variable to your local installation of CoreNLP.
4. Install additional dependencies:

   pip install streamlit spacy ipython

5. Run the Streamlit application:

   streamlit run stanza/utils/visualization/semgrex_app.py --theme.backgroundColor "#FFFFFF"

This will launch a Streamlit runtime application on your local machine, allowing you to interact with the visualizations.

Usage Examples and API Overview

Stanza provides a user-friendly interface for visualizing and manipulating dependency graphs. Here are some useful links to get you started:

• Semgrex Documentation
• Ssurgeon Documentation
• Client Regex Guide
• CoreNLP Server Guide

These resources will help you understand how to effectively use Stanza for your projects.

Community and Contribution

Stanza thrives on community contributions. Whether you want to report a bug, suggest a feature, or contribute code, your input is valuable. Here’s how you can get involved:

Bugfixes

To contribute a bugfix:

• Search existing issues to ensure the bug hasn’t been reported.
• Create a bug-report issue with details about your environment and a minimal code snippet.
• Once confirmed, implement the fix and create a pull request against the dev branch.

Enhancements

For enhancements:

• Check existing issues for similar suggestions.
• Create a feature-request issue and discuss it with the community.
• Once confirmed, implement the enhancement and create a pull request against the dev branch.

License and Legal Considerations

Stanza is licensed under the Apache License, Version 2.0. This means you can use, modify, and distribute the software under the terms of the license. However, it is important to comply with the license conditions to avoid any legal issues.

Conclusion

Stanza is a powerful tool for visualizing and manipulating dependency graphs, making it an essential resource for developers and researchers in the field of natural language processing. With its user-friendly Streamlit interface and robust documentation, getting started with Stanza is straightforward. We encourage you to explore the project, contribute to its development, and leverage its capabilities in your own work.

For more information, visit the official GitHub repository: Stanza GitHub Repository.

FAQ