This paper presents the results obtained for the task of detecting Semantic Boundaries (SBs) in spoken language using two different methods on the same data set. Hence we first introduce the two approaches developed by ITC-Irst in Trento (Italy) and the LME of the University Erlangen (Germany) and discuss the individually obtained results. The basis for the decision upon SBs in both cases are textual and prosodic features. The LME has already worked for several years on the computation and application of prosodic features in automatic speech processing within the VERBMOBIL project. The approaches developed in that project were adapted to work on the data collected at Irst in the Italian language. Finally we compare the results we obtain with the German SB detection against the Italian result with regard to precision and recall
Semantic Boundaries in Multiple Languages
Cettolo, Mauro;Falavigna, Giuseppe Daniele;Lazzari, Giannino
1999-01-01
Abstract
This paper presents the results obtained for the task of detecting Semantic Boundaries (SBs) in spoken language using two different methods on the same data set. Hence we first introduce the two approaches developed by ITC-Irst in Trento (Italy) and the LME of the University Erlangen (Germany) and discuss the individually obtained results. The basis for the decision upon SBs in both cases are textual and prosodic features. The LME has already worked for several years on the computation and application of prosodic features in automatic speech processing within the VERBMOBIL project. The approaches developed in that project were adapted to work on the data collected at Irst in the Italian language. Finally we compare the results we obtain with the German SB detection against the Italian result with regard to precision and recallI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
