Morphological Segmentation Inside-Out
Computation and Language
2021-02-16 v2
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.
Cite
@article{arxiv.1911.04916,
title = {Morphological Segmentation Inside-Out},
author = {Ryan Cotterell and Arun Kumar and Hinrich Schütze},
journal= {arXiv preprint arXiv:1911.04916},
year = {2021}
}
Comments
EMNLP 2016