Abstract
This paper describes recent work on the Unisys ATIS Spoken Language System, and reports benchmark results on natural language, spoken language, and speech recognition. We describe enhancements to the system's semantic processing for handling non-transparent argument structure and enhancements to the system's pragmatic processing of material in answers displayed to the user. We found that the system's score on the natural language benchmark test decreased from 48% to 36% without these enhancements. We also report results for three spoken language systems, Unisys natural language coupled with MIT-Summit speech recognition, Unisys natural language coupled with MIT-Lincoln Labs speech recognition and Unisys natural language coupled with BBN speech recognition. Speech recognition results are reported on the results of the Unisys natural language selecting a candidate from the MIT-Summit N-best (N=16).
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.