HLT '91 Proceedings of the workshop on Speech and Natural Language
Unification-based semantic interpretation in the BBN Spoken Language System
HLT '89 Proceedings of the workshop on Speech and Natural Language
Multi-site data collection for a spoken language corpus
HLT '91 Proceedings of the workshop on Speech and Natural Language
BBN BYBLOS and HARC February 1992 ATIS benchmark results
HLT '91 Proceedings of the workshop on Speech and Natural Language
Fragment processing in the DELPHI system
HLT '91 Proceedings of the workshop on Speech and Natural Language
Syntactic/semantic coupling in the BBN DELPHI system
HLT '91 Proceedings of the workshop on Speech and Natural Language
The forward-backward search algorithm
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
A comparison of several approximate algorithms for finding multiple (N-best) sentence hypotheses
ICASSP '91 Proceedings of the Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference
New uses for the N-best sentence hypotheses within the BYBLOS speech recognition system
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
The estimation of powerful language models from small and large corpora
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: speech processing - Volume II
Benchmark tests for the DARPA Spoken Language Program
HLT '93 Proceedings of the workshop on Human Language Technology
Hi-index | 0.00 |
We describe the design and performance of a complete spoken language understanding system currently under development at BBN. The system, dubbed HARC (Hear And Respond to Continuous speech), successfully integrates state-of-the-art speech recognition and natural language understanding subsystems. The system has been tested extensively on a restricted airline travel information (ATIS) domain with a vocabulary of about 2000 words. HARC is implemented in portable, high-level software that runs in real time on today's workstations to support interactive online human-machme dialogs. No special purpose hardware is required other than an A/D converter to digitize the speech. The system works well for any native speaker of American English and does not require any enrollment data from the users. We present results of formal DARPA tests in Feb. '92 and Nov. '92.