Part-of-speech tagging of Swedish texts in the neural era.
Yvonne Adesam, Aleksandrs Berdičevskis · DSpace repository (University of Tartu) · 2021
We train and test five open-source taggers, which use different methods, on three Swedish corpora, which are of comparable size but use different tagsets.The KB-Bert tagger achieves the highest accuracy for part-of-speech and morphological tagging, while being fast enough for practical use.We also compare the performance across tagsets and across different genres.We perform manual error analysis and perform a statistical analysis of factors which affect how difficult specific tags are.Finally, we test ensemble methods, showing that a small (but not significant) improvement over the best-performing tagger can be achieved.