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Core libraries for natural language processing

Project description

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:

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