Joakim Nivre |
Department of Linguistics, Göteborg University, Sweden
Leif Grönqvist |
Department of Linguistics, Göteborg University, Sweden
In this article, we present and evaluate a method for training a statistical part-of-speech tagger on data from written language and then adapting it to the requirements of tagging a corpus of transcribed spoken language, in our case spoken Swedish. This is currently a significant problem for many research groups working with spoken language, since the availability of tagged training data from spoken language is still very limited for most languages. The overall accuracy of the tagger developed for spoken Swedish is quite respectable, varying from 95% to 97% depending on the tagset used. In conclusion, we argue that the method presented here gives good tagging accuracy with relatively little effort.
Allwood, Jens, Leif Grönqvist, Elisabeth Ahlsén & Magnus Gunnarsson
2003. Annotations and Tools for an Activity Based Spoken Language Corpus. In Current and New Directions in Discourse and Dialogue [Text, Speech and Language Technology, 22], ► pp. 1 ff.
Bondi Johannessen, Janne
2017. Annotations in the Nordic Dialect Corpus. In Handbook of Linguistic Annotation, ► pp. 1303 ff.
de Carvalho, Victor Diogho Heuer & Ana Paula Cabral Seixas Costa
2022. Towards corpora creation from social web in Brazilian Portuguese to support public security analyses and decisions. Library Hi Tech
Osimk-Teasdale, Ruth & Nora Dorn
2016. Accounting for ELF. International Journal of Corpus Linguistics 21:3 ► pp. 372 ff.
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