Neural Morphological Analysis
Neural Morphological Analysis is a computational method that employs artificial neural networks to model and predict the internal structure of words by learning distributed representations of morphological patterns and affixation rules from raw text data.
25
Publications
1.1K
Citations
86
Authors
35
Institutions
Publications per year
2017–2026
12
Parents
25
1–5 of 25
86
German Research Centre for Artificial Intelligence, Germany
2 publications · 58 citations
2
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2
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2
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2
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Rutgers, The State University of New Jersey, United States
1 publications · 16 citations
1
h-index
1–5 of 86
35

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
4 publications
86 citations
Ludwig-Maximilians-Universität München
Munich, Germany
2 h-index
3 publications
81 citations

Saarland University
Saarbrücken, Germany
1 h-index
2 publications
84 citations
Åbo Akademi University
Turku, Finland
1 h-index
2 publications
148 citations

University of Alicante
Alicante, Spain
1 h-index
1 publications
36 citations

MRC Cognition and Brain Sciences Unit
Cambridge, United Kingdom
1 h-index
3 publications
408 citations
Ruhr University Bochum
Bochum, Germany
1 h-index
1 publications
70 citations

Kyoto University
Kyoto, Japan
1 h-index
3 publications
183 citations
1–8 of 35
2 publications · 210 citations
2
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1 publications · 22 citations
1
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Repository · 1 publications · 17 citations
1
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1 publications · 36 citations
1
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1 publications · 21 citations
1
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1–5