Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/aalto-speech/morfessor
Morfessor is a tool for unsupervised and semi-supervised morphological segmentation
https://github.com/aalto-speech/morfessor
python segmentation subword-segmentation subword-units
Last synced: 3 months ago
JSON representation
Morfessor is a tool for unsupervised and semi-supervised morphological segmentation
- Host: GitHub
- URL: https://github.com/aalto-speech/morfessor
- Owner: aalto-speech
- License: bsd-2-clause
- Created: 2013-02-20T11:44:44.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2020-10-06T14:39:42.000Z (about 4 years ago)
- Last Synced: 2024-04-18T22:07:53.458Z (7 months ago)
- Topics: python, segmentation, subword-segmentation, subword-units
- Language: Python
- Homepage: http://morpho.aalto.fi
- Size: 409 KB
- Stars: 176
- Watchers: 23
- Forks: 27
- Open Issues: 1
-
Metadata Files:
- Readme: README
- License: LICENSE
Awesome Lists containing this project
- low-resource-languages - morfessor - Morfessor is a tool for unsupervised and semi-supervised morphological segmentation. (Software / Utilities)
README
Morfessor 2.0 - Quick start
===========================Installation
------------Morfessor 2.0 is installed using setuptools library for Python. To
build and install the module and scripts to default paths, typepython setup.py install
For details, see http://docs.python.org/install/
Documentation
-------------User instructions for Morfessor 2.0 are available in the docs directory
as Sphinx source files (see http://sphinx-doc.org/). Instructions how
to build the documentation can be found in docs/README.The documentation is also available on-line at http://morfessor.readthedocs.org/
Details of the implemented algorithms and methods and a set of
experiments are described in the following technical report:Sami Virpioja, Peter Smit, Stig-Arne Grönroos, and Mikko
Kurimo. Morfessor 2.0: Python Implementation and Extensions for
Morfessor Baseline. Aalto University publication series SCIENCE +
TECHNOLOGY, 25/2013. Aalto University, Helsinki, 2013. ISBN
978-952-60-5501-5.The report is available online at
http://urn.fi/URN:ISBN:978-952-60-5501-5
Contact
-------Questions or feedback? Email: [email protected]