Nisaba 0.3.8.4

A tool for multi-modal annotation

Most Recent Update

• Repaired error in segmenting text when text has double-spaces instead of spaces. This causes a loss of paragraphing as well but is the best solution for PDF C&P so far

Full Change Log and Development Roadmap

Easy (PIP) Installation:

Nisaba is now available through PyPi. To install using pip, simply run the following command from your terminal:

pip install nisaba

After installation, run Nisaba using the command:

nisaba

Contributing

If you wish to contribute to the development of Nisaba, clone and run from the source code using the following commands from your terminal:

git clone https://github.com/mhbeals/nisaba
cd nisaba
virtualenv .
source bin/activate
pip install -r requirements.txt

To run, use

cd nisaba
python __main__.py

or simply:

python -m nisaba

Development History

Nisaba was conceived by M. H. Beals (Loughborough University) and Olivia Mitchell (Loughborough University) as part of her PhD project (2017-present).

Initial development of the software (v.0.1.0) was undertaken by M. H. Beals in 2018-2019.

The project is now being developed by M. H. Beals and Albert Meroño Peñuela (Vrije Universiteit Amsterdam). If you would like to contribute, please contact M. H. Beals (or submit a pull request!)