UniMorph 2.0: Universal Morphology

TL;DR

UniMorph 2.0 advances the collection and annotation of universal morphological data across languages, providing standardized resources and tools to improve NLP handling of complex morphology.

Contribution

This paper introduces updates to the UniMorph project, enhancing data collection, annotation, and dissemination of universal morphological resources for diverse languages.

Findings

Expanded multilingual morphological datasets

Improved annotation schema and tools

Enhanced accessibility of morphological resources

Abstract

The Universal Morphology UniMorph project is a collaborative effort to improve how NLP handles complex morphology across the world's languages. The project releases annotated morphological data using a universal tagset, the UniMorph schema. Each inflected form is associated with a lemma, which typically carries its underlying lexical meaning, and a bundle of morphological features from our schema. Additional supporting data and tools are also released on a per-language basis when available. UniMorph is based at the Center for Language and Speech Processing (CLSP) at Johns Hopkins University in Baltimore, Maryland and is sponsored by the DARPA LORELEI program. This paper details advances made to the collection, annotation, and dissemination of project resources since the initial UniMorph release described at LREC 2016. lexical resources} }