Tagging spoken language using written language statistics

Authors:
Joakim Nivre;Leif Grönqvist;Malin Gustafsson;Torbjörn Lager;Sylvana Sofkova
Affiliations:
Göteborg University, Göteborg, Sweden;Göteborg University, Göteborg, Sweden;Göteborg University, Göteborg, Sweden;Göteborg University, Göteborg, Sweden;Göteborg University, Göteborg, Sweden
Venue:
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Year:
1996

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Abstract

This paper reports on two experiments with a probabilistic part-of-speech tagger, trained on a tagged corpus of written Swedish, being used to tag a corpus of (transcribed) spoken Swedish. The results indicate that with very little adaptations an accuracy rate of 85% can be achieved, with an accuracy rate for known words of 90%. In addition, two different treatments of pauses were explored but with no significant gain in accuracy under either condition.