Package nltk :: Module util :: Class MinimalSet

Class MinimalSet

object --+
         |
        MinimalSet

Find contexts where more than one possible target value can appear. E.g. if targets are word-initial letters, and contexts are the remainders of words, then we would like to find cases like "fat" vs "cat", and "training" vs "draining". If targets are parts-of-speech and contexts are words, then we would like to find cases like wind (noun) 'air in rapid motion', vs wind (verb) 'coil, wrap'.

Instance Methods

[hide private]

__init__(self, parameters=None)
Create a new minimal set.

source code

add(self, context, target, display)
Add a new item to the minimal set, having the specified context, target, and display form.

source code

contexts(self, minimum=2)
Determine which contexts occurred with enough distinct targets.

source code

display(self, context, target, default='') source code

display_all(self, context)

source code

targets(self)

source code

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __repr__, __setattr__, __str__