DocumentCode :
2329556
Title :
Semantic understanding by combining extended CFG parser with HMM model
Author :
Xu, Yushi ; Seneff, Stephanie ; Li, Alice ; Polifroni, Joe
Author_Institution :
Spoken Language Syst. Group, MIT CSAIL, Cambridge, MA, USA
fYear :
2010
fDate :
12-15 Dec. 2010
Firstpage :
67
Lastpage :
72
Abstract :
This paper presents a method for extracting both syntactic and semantic tags. An extended CFG parser works in conjunction with an HMM model, which handles unknown words and partially known words, to yield a complete syntactic and semantic interpretation of the utterance. Four experiments and applications were performed using the paradigm to show the usefulness of the approach in processing spoken sentences.
Keywords :
context-free grammars; hidden Markov models; interactive systems; natural language processing; speech processing; speech recognition; CFG parser; HMM model; context free grammar; semantic tag; spoken sentence processing; syntactic tag; Data Labeling; HMM; Lexicon Development; Spoken Language Processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spoken Language Technology Workshop (SLT), 2010 IEEE
Conference_Location :
Berkeley, CA
Print_ISBN :
978-1-4244-7904-7
Electronic_ISBN :
978-1-4244-7902-3
Type :
conf
DOI :
10.1109/SLT.2010.5700824
Filename :
5700824
Link To Document :
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