ESCA Workshop on Spoken Dialogue Systems Vigsø, Denmark May 30 - June 2, 1995

Comparison of Parsing and Spotting Approaches for Spoken Dialogue Understanding

Tatsuya Kawahara, Masahiro Araki, Shuji Doshita

Department of Information Science, Kyoto University, Kyoto, Japan

Several parsing and spotting approaches for spoken dialogue understanding are compared and evaluated. First, we address the optimal strategies for both LR parsing and spotting. Here, a novel phrase spotting approach based on progressive search is proposed for robust understanding. The experimental results show that (1) sentence-level parsing is most powerful but not robust, (2) phrase spotting approach is robust against ill-formed utterances, (3) simple word bigram and word spotting get good word accuracy but do not lead to sentence-level understanding. Furthermore, we explore a hybrid approach where the sentence-level parsing is tried and, if it fails, the phrase spotting is performed.

Full Paper

Bibliographic reference.  Kawahara, Tatsuya / Araki, Masahiro / Doshita, Shuji (1995): "Comparison of parsing and spotting approaches for spoken dialogue understanding", In SDS-1995, 21-24.