Morphological Processing of Low-Resource Languages: Where We Are and What’s Next

no code implementations • Findings (ACL) 2022 • Adam Wiemerslage, Miikka Silfverberg, Changbing Yang, Arya McCarthy, Garrett Nicolai, Eliana Colunga, Katharina Kann

Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages.

The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion

no code implementations • WS 2020 • Kyle Gorman, Lucas F.E. Ashby, Aaron Goyzueta, Arya McCarthy, Shijie Wu, Daniel You

We describe the design and findings of the SIGMORPHON 2020 shared task on multilingual grapheme-to-phoneme conversion.

The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion

no code implementations • WS 2020 • Katharina Kann, Arya McCarthy, Garrett Nicolai, Mans Hulden

In this paper, we describe the findings of the SIGMORPHON 2020 shared task on unsupervised morphological paradigm completion (SIGMORPHON 2020 Task 2), a novel task in the field of inflectional morphology.

LEMMA Task 2