Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian
Computation and Language
2019-11-27 v1 Artificial Intelligence
Abstract
We present experiments with part-of-speech tagging for Bulgarian, a Slavic language with rich inflectional and derivational morphology. Unlike most previous work, which has used a small number of grammatical categories, we work with 680 morpho-syntactic tags. We combine a large morphological lexicon with prior linguistic knowledge and guided learning from a POS-annotated corpus, achieving accuracy of 97.98%, which is a significant improvement over the state-of-the-art for Bulgarian.
Keywords
Cite
@article{arxiv.1911.11503,
title = {Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian},
author = {Georgi Georgiev and Valentin Zhikov and Petya Osenova and Kiril Simov and Preslav Nakov},
journal= {arXiv preprint arXiv:1911.11503},
year = {2019}
}
Comments
part-of-speech tagging, POS tagging, morpho-syntactic tags, guided learning, Bulgarian, Slavic