Metadata-Version: 2.1
Name: subtree-metric
Version: 0.2
Summary: Package with Subtree Metric
Home-page: https://github.com/WhiteJaeger/nlp-metrics
Author: Kashchikhin Andrej
Author-email: logerk3@gmail.com
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/WhiteJaeger/nlp-metrics/issues
Project-URL: Web Application, http://nlp-metrics.herokuapp.com
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: nltk (==3.6.2)
Requires-Dist: spacy (==3.0.5)
Requires-Dist: sklearn (==0.0)
Requires-Dist: scikit-learn (==0.24.2)

# Subtree Metric Package
This package provides an NLTK-like interface to measure the STM score of the given hypothesis and ideal translations.

There is also a web-app available with a GUI which includes the metrics provided in this package.

URL: http://nlp-metrics.herokuapp.com

## Usage example



