Morpheme Boundary Detection
Morpheme Boundary Detection is the computational linguistic task of identifying the precise locations where morphemes—minimal meaningful units—occur within words, distinguishing it from related analyses by focusing specifically on the segmentation of word forms into their constituent morphemic units without necessarily assigning grammatical or semantic labels.
33
Publications
2K
Citations
72
Authors
46
Institutions
Publications per year
2017–2026
3
33
A Joint Model for Word Embedding and Word Morphology
Kris Cao, Marek Rei · 2016 · 96 citations · Full text
Language Studies, Computer Science, Computational Linguistics +16
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46

MRC Cognition and Brain Sciences Unit
Cambridge, United Kingdom
2 h-index
2 publications
723 citations

Royal Holloway University of London
Egham, United Kingdom
2 h-index
4 publications
1.4K citations
Aalto University
Espoo, Finland
2 h-index
10 publications
200 citations
Åbo Akademi University
Turku, Finland
1 h-index
1 publications
10 citations

University of Edinburgh
Edinburgh, United Kingdom
1 h-index
1 publications
11 citations
Loughborough University
Loughborough, United Kingdom
1 h-index
1 publications
53 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
1 publications
28 citations
Institute of Psychology, Chinese Academy of Sciences
Beijing, China
1 h-index
2 publications
56 citations
1–8 of 46
2 publications · 213 citations
2
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JASIS · 1 publications · 53 citations
1
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BRM · 1 publications · 19 citations
1
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SSR · 1 publications · 20 citations
1
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QJEP · 1 publications · 28 citations
1
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