Clause-Level Tense, Mood, Voice and Modality Tagging for German
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10426990" target="_blank" >RIV/00216208:11320/20:10426990 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/2020.tlt-1.1" target="_blank" >https://www.aclweb.org/anthology/2020.tlt-1.1</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Clause-Level Tense, Mood, Voice and Modality Tagging for German
Original language description
We present a language-independent clausizer (clause splitter) based on Universal Dependencies(Nivre et al., 2016), and a clause-level tagger for grammatical tense, mood, voice and modality inGerman. The paper recapitulates verbal inflection in German—always juxtaposed with its closerelative English—and transforms the linguistic theory into a rule-based algorithm. We achievestate-of-the-art accuracies of 92.6% for tense, 79.0% for mood, 93.8% for voice and 79.8% formodality in the literary domain. Our implementation is available at https://gitlab.gwdg.de/tillmann.doenicke/tense-tagger.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů