Abstract
The increasing variety and sophistication of spoken language dialogue systems (SLDSs) emphasises the need for tools in support of their development and evaluation as well as for appropriate evaluation criteria. In this paper we describe how the MATE workbench can be used during SLDSs development to efficiently produce corpus-based information on SLDSs and their components. The information retrieved from the annotated corpora can be used for evaluation purposes and provide important directions for further development. Examples are drawn from dialogue management and human factors of SLDSs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
