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('Core libraries for natural language processing',)

Project Description

nlup contains some base libraries I use in natural language understanding 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; someday I will sit down and aggressively optimize this
  • reader.py: classes and readers for tagged and dependency-parsed data
  • timer.py: a with-block that logs 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:

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0.5

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Filename, size & hash SHA256 hash help File type Python version Upload date
nlup-0.5.tar.gz (11.6 kB) Copy SHA256 hash SHA256 Source None May 4, 2015

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