RASCAL: Resources for Analyzing Speech in Clinical Aphasiology Labs

RASCAL (Resources for Analyzing Speech in Clinical Aphasiology Labs) is an open-source Python toolkit for organizing and analyzing monologic discourse samples produced by people with aphasia. This Zenodo deposit archives version 1.0.0 of the software, including a complete instruction manual (PDF) and a representative set of synthetic example data for testing each major functionality. RASCAL supports standardized workflows for CHAT-formatted transcript tabularization, complete utterance (CU) coding, reliability evaluation, and batched CoreLex analysis. It is designed for both command-line and web-based operation and emphasizes reproducibility through structured configuration files, automated logging, and metadata capture. All example data are non-identifiable and suitable for demonstration and instructional use.

This record is intended as a stable, citable release for research use. The source code is maintained on GitHub under the MIT license.

Links:

• Repository: https://github.com/nmccloskey/RASCAL
• PyPI: https://pypi.org/project/rascal-speech/
• Streamlit: https://rascal.streamlit.app/