maxent-learner-hw: Hayes and Wilson's maxent learning algorithm for phonotactic grammars.

[ library, linguistics, program ] [ Propose Tags ]

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.

This package is an implementation of the algorithm described in Hayes and Wilson's paper A Maximum Entropy Model of Phonotactics and Phonotactic Learning (available at http://www.linguistics.ucla.edu/people/hayes/Phonotactics/Index.htm).

Versions 0.1.0, 0.1.1, 0.1.2, 0.2.0, 0.2.1 (info)
Dependencies array (>=0.3 && <0.6), base (>=4.7 && <5), bytestring, containers (==0.5.*), deepseq (==1.4.*), file-embed, maxent-learner-hw, mtl (>=2.1 && <2.3), optparse-applicative, parallel (==3.2.*), random (==1.1), random-shuffle, readcsv, text (==1.2.*), vector (>=0.10) [details]
License LicenseRef-GPL
Copyright 2016-2017 George Steel and Peter Jurgec
Author George Steel
Maintainer george.steel@gmail.com
Category Linguistics
Home page https://github.com/george-steel/maxent-learner
Source repo head: git clone https://github.com/george-steel/maxent-learner
Uploaded by gtsteel at Fri May 12 07:18:40 UTC 2017
Distributions NixOS:0.2.1
Executables phono-learner-hw
Downloads 1111 total (16 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2017-05-12 [all 1 reports]
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