Linguistica 5: Unsupervised Learning of Linguistic Structure

Jackson L. Lee, John A. Goldsmith


Abstract
This paper introduces Linguistica 5, a software for unsupervised learning of linguistic structure. It is a descendant of Goldsmith's (2001, 2006) Linguistica. Open-source and written in Python, the new Linguistica 5 is both a graphical user interface software and a Python library. While Linguistica 5 inherits its predecessors' strength in unsupervised learning of natural language morphology, it incorporates significant improvements in multiple ways. Notable new features include tools for data visualization as well as straightforward extensions for both its components and embedding in other programs.
Anthology ID:
N16-3005
Volume:
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
Month:
June
Year:
2016
Address:
San Diego, California
Editors:
John DeNero, Mark Finlayson, Sravana Reddy
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
22–26
Language:
URL:
https://aclanthology.org/N16-3005/
DOI:
10.18653/v1/N16-3005
Bibkey:
Cite (ACL):
Jackson L. Lee and John A. Goldsmith. 2016. Linguistica 5: Unsupervised Learning of Linguistic Structure. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations, pages 22–26, San Diego, California. Association for Computational Linguistics.
Cite (Informal):
Linguistica 5: Unsupervised Learning of Linguistic Structure (Lee & Goldsmith, NAACL 2016)
Copy Citation:
PDF:
https://aclanthology.org/N16-3005.pdf