ISCA Archive Interspeech 2007
ISCA Archive Interspeech 2007

Cross-linguistic analysis of prosodic features for sentence segmentation

James G. Fung, Dilek Hakkani-Tür, Mathew Magimai-Doss, Elizabeth Shriberg, Sébastien Cuendet, Nikki Mirghafori

In this paper, we perform a cross-linguistic study of prosodic features in sentence segmentation by using two different feature selection approaches: a forward search wrapper and feature filtering. Experiments in Arabic, English, and Mandarin show that prosodic features make significant contributions in all three languages. Feature selection results indicate that feature relevancy can vary greatly depending on the target language, and therefore the optimal feature subset varies considerably between languages. We observe patterns in the feature selection and the affinity of the different languages toward certain feature types, which gives us insight into future feature selection and feature design.

doi: 10.21437/Interspeech.2007-686

Cite as: Fung, J.G., Hakkani-Tür, D., Magimai-Doss, M., Shriberg, E., Cuendet, S., Mirghafori, N. (2007) Cross-linguistic analysis of prosodic features for sentence segmentation. Proc. Interspeech 2007, 2585-2588, doi: 10.21437/Interspeech.2007-686

  author={James G. Fung and Dilek Hakkani-Tür and Mathew Magimai-Doss and Elizabeth Shriberg and Sébastien Cuendet and Nikki Mirghafori},
  title={{Cross-linguistic analysis of prosodic features for sentence segmentation}},
  booktitle={Proc. Interspeech 2007},