8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 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.

Full Paper

Bibliographic reference.  Fung, James G. / Hakkani-Tür, Dilek / Magimai-Doss, Mathew / Shriberg, Elizabeth / Cuendet, Sébastien / Mirghafori, Nikki (2007): "Cross-linguistic analysis of prosodic features for sentence segmentation", In INTERSPEECH-2007, 2585-2588.