Tagging Spoken Language Using Written Language Statistics

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.

• Type: Conference
• Year: 1996
• Where: COLING
• Authors: Joakim Nivre, Leif Gronqvist, Malin Gustafsson, Torbjörn Lager, Sylvana Sofková
• Keywords: Accuracy Rate, COLING 1996, COLING 2008, Probabilistic Part-of-speech Tagger, Tagged Corpus