Morphological Segmentation Inside-Out
November 12, 2019 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Ryan Cotterell, Arun Kumar, Hinrich Schรผtze
arXiv ID
1911.04916
Category
cs.CL: Computation & Language
Citations
16
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
4 months ago
Abstract
Morphological segmentation has traditionally been modeled with non-hierarchical models, which yield flat segmentations as output. In many cases, however, proper morphological analysis requires hierarchical structure -- especially in the case of derivational morphology. In this work, we introduce a discriminative, joint model of morphological segmentation along with the orthographic changes that occur during word formation. To the best of our knowledge, this is the first attempt to approach discriminative segmentation with a context-free model. Additionally, we release an annotated treebank of 7454 English words with constituency parses, encouraging future research in this area.
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