Clippers 10/24: Sara Court on software tools for low-resource morphological analysis and annotation

Micha and I will present our ongoing work developing software tools for low-resource morphological analysis and annotation. This is part of a larger project we presented last summer at ACL’s ComputEL workshop in collaboration with Maria Copot, Stephanie Antetomaso, and Noah Diewald.

We combine unsupervised methods for morphological paradigm discovery with a browser-based interface and supervised learner implemented in tensorflow.js. We’re currently experimenting with various model designs and active learning selection heuristics and look forward to your feedback as we continue our work!