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Found 3 papers, 1 papers with code
Findings of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering
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.
The Paradigm Discovery Problem
Our benchmark system first makes use of word embeddings and string similarity to cluster forms by cell and by paradigm.
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic
We present the second ever evaluated Arabic dialect-to-dialect machine translation effort, and the first to leverage external resources beyond a small parallel corpus.
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