Linguine is comprised of the following submodules:
- linguine (this repository): issue tracking and documentation (in progress).
- linguine-node: The node-based frontend for Linguine's web interface.
- linguine-python: The python-based backend for Linguine's analyses.
- SPLAT: Stable version of the Speech Processing & Linguistic Analysis Tool.
- stanford_corenlp_pywrapper: Stable version of the Stanford CoreNLP PyWrapper.
Pull requests require review by two developers to ensure quality and accuracy of contributions.
cdinto the submodules and checkout the specific commitgit tag -a v[version_number]git push --tags
- Alex Hedges (aph3032@rit.edu)
- Cecilia O. Alm (coagla@rit.edu)
- Emily Prud'hommeaux (emilypx@rit.edu)
If you use these instructional software materials, please cite:
Alm, Cecilia O., Meyers, Benjamin S., and Prud'hommeaux, Emily. 2017. An Analysis and Visualization Tool for Case Study Learning of Linguistic Concepts. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
The work was partially supported by an RIT PLIG grant. Many thanks to three senior project teams: ProNouns, Rigatoni, and Pastafarians helped develop Linguine's core functionality and interface. Additional thanks to the developer after them: Benjamin S. Meyers.
Please read this release notice before using the Linguine software materials.