Clause-Level Tense, Mood, Voice and Modality Tagging for German
Tillmann Dönicke · 2020
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 in German.The paper recapitulates verbal inflection in German-always juxtaposed with its close relative English-and transforms the linguistic theory into a rule-based algorithm.We achieve state-of-the-art accuracies of 92.6% for tense, 79.0% for mood, 93.8% for voice and 79.8% for modality in the literary domain.Our implementation is available at https://gitlab.gwdg.de/tillmann.doenicke/tense-tagger.