Search Results for author: Adam Wiemerslage

Found 9 papers, 0 papers with code

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.

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.

Word Embeddings

Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering

no code implementations ACL (SIGMORPHON) 2021 Adam Wiemerslage, Arya D. McCarthy, Alexander Erdmann, Garrett Nicolai, Manex Agirrezabal, Miikka Silfverberg, Mans Hulden, Katharina Kann

We describe the second SIGMORPHON shared task on unsupervised morphology: the goal of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering is to cluster word types from a raw text corpus into paradigms.

14

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

no code implementations16 Mar 2022 Adam Wiemerslage, Miikka Silfverberg, Changbing Yang, Arya D. 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.

From Algebraic Word Problem to Program: A Formalized Approach

no code implementations11 Mar 2020 Adam Wiemerslage, Shafiuddin Rehan Ahmed

In this paper, we propose a pipeline to convert grade school level algebraic word problem into program of a formal languageA-IMP.

Dependency Parsing

Cannot find the paper you are looking for? You can Submit a new open access paper.