This add-on for Orange3 enables digital story grammar (DSG) analysis of Dutch texts. Please see the following paper for more information on DSG: Andrade and Andersen (2020)
The following versions of Python and Orange3 were used:
- Python v3.8.3
- Orange3 v3.32.0
- Orange3-text v1.7.0
To install the add-on from source, clone this repo, cd into the root directory and run
pip install -r requirements.txt
pip install .
To make this add-on known to your local Orange without copying the code it to Python's site-packages directory, run
pip install -e .
After the installation, the widget from this add-on is registered with Orange. To run Orange from the terminal, use
orange-canvas
or
python -m Orange.canvas
The DSG widget appears in the toolbox bar in the section Navigating Stories:
Connecting the DSG widget to the Corpus widget from the Text Mining section will automatically start a DSG analysis on the first corpus of the Corpus widget (21 letters from the future).
The result, a table with a dependency parsing analysis and a semantic role labeling analysis, can be inspected in the Data Table widget of the Data section in Orange, after connecting the DSG output of the DSG module to the input of the Data Table module in the Data Table module:
