Abstract
We present the first open-source tool for annotating 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 corpus-linguistic research.
Cite
CITATION STYLE
Ramm, A., Loáiciga, S., Friedrich, A., & Fraser, A. (2017). Annotating tense, mood and voice for English, French and German. In ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations (pp. 1–6). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/P17-4001
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
