The understanding module utilizes ISSS ( Incremental Significant-utterance Sequence Search ) ( Nakano et al. , 1999b ) , which is an integrated parsing and discourse processing method .
understanding unsegmented user utterances in realtime spoken dialogue systems
Mikio Nakano Noboru Miyazalci Jun-ichi Hirasawa Kohji Dohsaka Takeshi Kawabata
The language understanding module receives word hypotheses from the speech recognition module and incrementally understands the sequence of the word hypotheses to update the dialogue state , in which the result of understanding and discourse information are represented by a frame ( i.e. , attribute-value pairs ) . The understanding module utilizes ISSS ( Incremental Significant-utterance Sequence Search ) ( Nakano et al. , 1999b ) , which is an integrated parsing and discourse processing method . ISSS enables the incremental understanding of user utterances that are not segmented into sentences prior to parsing by incrementally finding the most plausible sequence of sentences ( or signcant utterances in the ISSS terms ) out of the possible sentence sequences for the input word sequence .
The understanding module utilizes ISSS ( Incremental Significant-utterance Sequence Search ) ( @@CITATIONb ) , which is an integrated parsing and discourse processing method .