Neural Morphological Segmentation
Neural Morphological Segmentation is a morphological segmentation approach that employs neural network architectures to automatically learn and predict the internal structure of words by identifying their constituent morphemes in an end-to-end differentiable framework.
23
Publications
1.5K
Citations
77
Authors
34
Institutions
Publications per year
2017–2026
9
Parents
23
The <i>kreisler</i> mouse: a hindbrain segmentation mutant that lacks tworhombomeres
Ian J. McKay, Ian Muchamore, Robb Krumlauf et al. · Development · 1994 · 183 citations
Pierre‐Luc Bardet, Michael Schubert, Béatrice Horard et al. · Evolution & Development · 2005 · 59 citations
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Johns Hopkins University
Baltimore, United States
3 h-index
9 publications
264 citations
Ludwig-Maximilians-Universität München
Munich, Germany
2 h-index
4 publications
164 citations
King's College London
London, United Kingdom
1 h-index
1 publications
183 citations
University of Zurich
Zurich, Switzerland
1 h-index
2 publications
36 citations
Dublin City University
Dublin, Ireland
1 h-index
1 publications
24 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
1 publications
18 citations

The Honourable Society of Lincoln's Inn
London, United Kingdom
1 h-index
2 publications
366 citations
Instituto de Salud Carlos III
Madrid, Spain
1 h-index
3 publications
54 citations
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Repository · 3 publications · 44 citations
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CSSP · 1 publications · 106 citations
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1 publications · 183 citations
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1 publications · 483 citations
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Conference · 1 publications · 42 citations
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