Multi-layer Corpus Annotation
Multi-Layer Corpus Annotation is a systematic method of linguistic data annotation in which multiple hierarchically organized, interdependent levels of linguistic information—such as phonological, morphological, syntactic, semantic, and pragmatic features—are simultaneously encoded within a single multimodal corpus to enable comprehensive analysis of cross-modal and cross-linguistic phenomena.
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2017–2026
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ANVIL - a generic annotation tool for multimodal dialogue
Michael Kipp · 2001 · 567 citations
Universal Conceptual Cognitive Annotation (UCCA)
Omri Abend · 2024 · 199 citations · Full text
Manfred Stede · 2004 · 164 citations · Full text
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Humboldt-Universität zu Berlin
Berlin, Germany
3 h-index
5 publications
257 citations
KU Leuven
Leuven, Belgium
2 h-index
2 publications
30 citations
Utrecht University
Utrecht, The Netherlands
2 h-index
2 publications
30 citations

HOGENT University of Applied Sciences and Arts
Ghent, Belgium
2 h-index
2 publications
30 citations

University of Groningen
Groningen, The Netherlands
2 h-index
11 publications
205 citations
German Research Centre for Artificial Intelligence
Kaiserslautern, Germany
1 h-index
4 publications
156 citations

Harvard University Press
Cambridge, United States
1 h-index
1 publications
365 citations
Johannes Gutenberg University Mainz
Mainz, Germany
1 h-index
3 publications
30 citations
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Repository · 2 publications · 115 citations
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Conference · 1 publications · 23 citations
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Repository · 1 publications · 13 citations
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Repository · 1 publications · 17 citations
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