Learning to predict pitch accents and prosodic boundaries in Dutch
We train a decision tree inducer (CART) and a memory-based classifier (MBL) on predicting prosodic pitch accents and breaks in Dutch text, on the basis of shallow, easy-to-compute features. We train the algorithms on both tasks individually and on the two tasks simultaneously. The parameters of both algorithms and the selection of features are optimized per task with iterative deepening, an efficient wrapper procedure that uses progressive sampling of training data. Results show a consistent significant advantage of MBL over CART, and also indicate that task combination can be done at the cost... Mehr ...
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Dokumenttyp: | conference |
Erscheinungsdatum: | 2003 |
Verlag/Hrsg.: |
Association for Computational Linguistics
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Schlagwörter: | Languages and Literatures |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26675463 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://biblio.ugent.be/publication/598073 |