Feature-based Morphological Analysis
Feature-Based Morphological Analysis is a morphological analysis approach that belongs to the class of computational methods in natural language processing and is distinguished by its reliance on linguistically motivated morphosyntactic features to systematically represent and disambiguate word forms.
108
Publications
3.8K
Citations
286
Authors
133
Institutions
Publications per year
2017–2026
26
108
1–5 of 108
286
5
h-index
Austrian Research Institute for Artificial Intelligence, Austria
4 publications · 63 citations
4
h-index
3
h-index
2
h-index
2
h-index
1–5 of 286
133
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
4 h-index
5 publications
140 citations
The Ohio State University
Columbus, United States
4 h-index
4 publications
131 citations
University of Washington
Seattle, United States
3 h-index
6 publications
351 citations
Deutsches Forschungsnetz
Berlin, Germany
3 h-index
4 publications
126 citations
Columbia University
New York, United States
3 h-index
9 publications
942 citations

Johns Hopkins University
Baltimore, United States
3 h-index
8 publications
477 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
6 publications
237 citations
University of Stuttgart
Stuttgart, Germany
2 h-index
6 publications
84 citations
1–8 of 133
Repository · 3 publications · 86 citations
3
h-index
2 publications · 119 citations
2
h-index
2 publications · 89 citations
2
h-index
Repository · 2 publications · 22 citations
2
h-index
2 publications · 129 citations
2
h-index
1–5