Paradigm Clustering with Weighted Edit Distance

no code implementations • ACL (SIGMORPHON) 2021 • Andrew Gerlach, Adam Wiemerslage, Katharina Kann

This paper describes our system for the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering, which asks participants to group inflected forms together according their underlying lemma without the aid of annotated training data.

Clustering LEMMA +1

Linguist vs. Machine: Rapid Development of Finite-State Morphological Grammars

no code implementations • WS 2020 • Sarah Beemer, Zak Boston, April Bukoski, Daniel Chen, Princess Dickens, Andrew Gerlach, Torin Hopkins, an, Parth Jawale, Chris Koski, Akanksha Malhotra, Piyush Mishra, Saliha Muradoglu, Lan Sang, Tyler Short, Sagarika Shreevastava, Elizabeth Spaulding, Testumichi Umada, Beilei Xiang, Changbing Yang, Mans Hulden

Sequence-to-sequence models have proven to be highly successful in learning morphological inflection from examples as the series of SIGMORPHON/CoNLL shared tasks have shown.

Morphological Inflection