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This paper presents recent improvements in the development of the University of Colorado " CU Communicator " and " CU-Move " spoken dialog systems. First, we describe the CU Communicator system that integrates speech recognition, synthesis and natural language understanding technologies using the DARPA Hub Architecture. Users are able to converse with an… (More)
In our effort to build spoken language translation systems we have extended our JANUS system to process spontaneous human–human dialogs in a new domain, two people trying to schedule a meeting. Trained on an initial database JANUS-2 is able to translate En-glish and German spoken input in either English, German, Spanish, Japanese or Korean output. To tackle… (More)
NLP researchers face a dilemma: on one side, it is unarguably accepted that languages have internal structure rather than strings of words. On the other side, they nd it very diicult and expensive to write grammars that have g o o d c o verage of language structures. Statistical machine translation tries to cope with this problem by ignoring language… (More)
As part of the JANUS speech-to-speech translation projectt5], we have developed a translation system that successfully parses full utterances and is eeective in parsing spontaneous speech, which is often syntactically ill-formed. The system is concept-based, meaning that it has no explicit notion of a sentence but rather views each input utterance as a… (More)
We report results from using language model confidence measures based on the degree of backoff used in a trigram language model. Both utterance-level and word-level confidence metrics proved useful for a dialog manager to identify out-of-domain utterances. The metric assigns successively lower confidence as the language model estimate is backed off to a… (More)
for useful discussions and active support.hika: The OGI multi-language telephone speech corpus. Proceedings of the ICSLP 1992.