Morphological Segmentation Inside-Out

November 12, 2019 ยท Declared Dead ยท ๐Ÿ› Conference on Empirical Methods in Natural Language Processing

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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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