DocumentCode
302102
Title
Statistical natural language understanding using hidden clumpings
Author
Epstein, M. ; Papineni, K. ; Roukos, S. ; Ward, T. ; Pietra, S. Della
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Volume
1
fYear
1996
fDate
7-10 May 1996
Firstpage
176
Abstract
We present a new approach to natural language understanding (NLU) based on the source-channel paradigm, and apply it to ARPA´s Air Travel Information Service (ATIS) domain. The model uses techniques similar to those used by IBM in statistical machine translation. The parameters are trained using the exact match algorithm; a hierarchy of models is used to facilitate the bootstrapping of more complex models from simpler models
Keywords
natural languages; speech recognition; statistical analysis; ARPA´s Air Travel Information Service; ATIS; bootstrapping; exact match algorithm; hidden clumpings; source-channel paradigm; statistical natural language understanding; Decision trees; Formal languages; Knowledge based systems; Labeling; Natural languages; Neural networks; Probability; Speech recognition; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1520-6149
Print_ISBN
0-7803-3192-3
Type
conf
DOI
10.1109/ICASSP.1996.540319
Filename
540319
Link To Document