/ur_learning

Algorithms for induction of phonological grammars and sets of underlying forms from morphophonological paradigms. (In progress.)

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

ur_learning

Algorithms based on subregular hypothesis for induction of phonological grammars and sets of underlying forms from morphophonological paradigms. (In progress.)

ostia.py, fst_object.py, and helper.py courtesy of @alenaks's SigmaPie package.

The Simplex Input Strictly 2-Local Decomposition Learning Algorithm of Hua & Jardine 2021 is implemented in si2dla.py.

Other files are experimental variations on this algorithm:

File Description
so2dla.py An Output Strictly 2-Local version of the SI2DLA
fsi2dla.py A featural version of the SI2DLA
features.py Some code to work with features

The file testing.py contains some test data sets; this can be run from the command line to see how the algorithms perform.