Annotating tense, mood and voice for English, French and German

  • We present the first open-source tool forannotating morphosyntactic tense, mood and voice for English, French and German verbal complexes. The annotation is based on a set of language-specific rules, which are applied on dependency trees and leverage information about lemmas, morphological properties and POS-tags of the verbs. Our tool has an average accuracy of about 76%. The tense, mood and voice features are useful both as features in computational modeling and for corpuslinguistic research.

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Metadaten
Author:Anita Ramm, Sharid Loáiciga, Annemarie FriedrichORCiDGND, Alexander Fraser
URN:urn:nbn:de:bvb:384-opus4-1056793
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/105679
URL:https://aclanthology.org/P17-4001
ISBN:978-1-945626-71-5OPAC
Parent Title (English):Proceedings of ACL 2017, System Demonstrations, July 30 - August 4, 2017, Vancouver, Canada
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg, PA
Editor:Mohit Bansal, Heng Ji
Type:Conference Proceeding
Language:English
Year of first Publication:2017
Publishing Institution:Universität Augsburg
Release Date:2023/07/10
First Page:1
Last Page:6
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Sprachverstehen mit der Anwendung Digital Humanities
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)

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