The University of Massachusetts Amherst

Methods

Doing anything beyond the most basic analysis in HG requires computational help. In this course, we will be using OT-Help for our work on language typology using categorical models, and R, the popular statistical software environment, for our work on probabilistic models, language learning, and language change.

OT-Help, along with manuals and sample files, can be found here. Alternatively, you can download the .zip file here, which has both the .jar files in the correct directory structure (this will not be updated, so if you are reading this in the future, it may not be the latest version).

Note: OT-Help does not generate candidate sets for parallel OT/HG. For software that does, see Jason Riggle et al.’s PyPhon, and Alan Prince’s OT Workplace.

Materials for working with HG in R can be found here.

Other software for working with probabilistic weighted constraint models can be found on Bruce Hayes’ software page.

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