Name
Abstract | ||
|---|---|---|
We describe HARC, a system for speech understanding that integrates speech recognition techniques with natural language processing. The integrated system uses statistical pattern recognition to build a lattice of potential words in the input speech. This word lattice is passed to a unification parser to derive all possible associated syntactic structures for these words. The resulting parse structures are passed to a multi-level semantics component for interpretation. |
Year | DOI | Venue |
|---|---|---|
1989 | 10.3115/100964.100970 | HLT |
Keywords | Field | DocType |
word lattice,possible associated syntactic structure,multi-level semantics component,speech recognition technique,parse structure,natural language processing,input speech,integrated system,statistical pattern recognition,bbn spoken language system,speech understanding,parsers,structures,statistics,semantics,speech,syntax,information processing,pattern recognition,language,natural language,speech recognition | Speech corpus,Speech synthesis,Cache language model,Speech analytics,Computer science,Computational linguistics,Speech recognition,Artificial intelligence,Natural language processing,Speech segmentation,Language model,Spoken language | Conference |
Citations | PageRank | References |
4 | 2.23 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sean Boisen | 1 | 165 | 196.52 |
| Yen-Lu Chow | 2 | 148 | 70.09 |
| Andrew Haus | 3 | 4 | 2.23 |
| Robert Ingria | 4 | 654 | 273.34 |
| Salim Roukos | 5 | 6248 | 845.50 |
| David Stallard | 6 | 173 | 23.72 |