Abstract. Many data structures are naturally segmented. Generic algorithms that ignore that feature, and that treat every data structure as a uniform range of elements, are unneces...
This paper reports on corpus-based research into the relationship between intonational variation and discourse structure. We examine the effects of speaking style (read versus spo...
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...