Metadata-Version: 2.1
Name: nlup
Version: 0.8
Summary: ('Core libraries for natural language processing',)
Home-page: http://github.com/cslu-nlp/nlup/
Author: Kyle Gorman
Author-email: kylebgorman@gmail.com
License: MIT
Keywords: nlp,natural language processing,text,text processing,ai,artificial intelligence,neural net,perceptron,data,science,statistics,data science,math,machine learning,computer science,information theory
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Other Environment
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Text Processing :: Linguistic
Classifier: Topic :: Text Processing :: Filters
Classifier: Topic :: Text Processing :: General
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
Requires-Dist: jsonpickle (>=0.9.0)

`nlup` contains some base libraries I use in natural language processing projects. Some highlights:

* `confusion.py`: classifier evaluation objects
* `decorators.py`: clever decorators for various purposes
* `jsonable.py`: a mix-in which allows the state of most objects to be serialized to (and deserialized from) compressed JSON
* `perceptron.py`: perceptron-like classifiers (binary and multiclass), including some forms of structured prediction
* `reader.py`: classes and readers for tagged and dependency-parsed data
* `timer.py`: a `with`-block that logs wall clock time elapsed

All have been tested on CPython 3.4.1 and PyPy 3.2.5 (PyPy version 2.3.1). They will not work on Python 2 without modification.

Some projects using `nlup`:

* [Detector Morse](http://github.com/cslu-nlp/detectormorse): simple sentence boundary detection
* [Perceptronix Point Never](http://github.com/cslu-nlp/PerceptronixPointNever): simple part of speech tagging
* [Where's Yr Head At](http://github.com/cslu-nlp/WheresYrHeadAt): simple transition-based dependency parsing


