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Provides an implementation of Hayes and Wilson's machine learning algorithm for maxent phonotactic grammars, as both a command-line tool and a function library. The learner takes in a lexicon and produces a list of weighted constraints penalizing certain sound sequemces in an attempt to produce a probability distribution of words which maximizes the probability of the lexicon. Once such a set of constraints is generated, it can be tested by using it to generate random pronounceable text.