ACL RD-TEC 1.0 Summarization of H94-1074
Paper Title:
SPEECH-BASED RETRIEVAL USING SEMANTIC CO-OCCURRENCE FILTERING
SPEECH-BASED RETRIEVAL USING SEMANTIC CO-OCCURRENCE FILTERING
Authors: Julian Kupiec and Don Kimber and Vijay Balasubramanian
Primarily assigned technology terms:
- algorithm
- automatic system
- boolean retrieval
- co-occurrence filtering
- database
- dynamic programming
- estimator
- hidden markov
- hidden markov model
- indexing
- information retrieval
- ir system
- markov model
- matching
- maximum likelihood
- n-best search
- phonetic spelling
- processing
- recognition
- recognizer
- retrieval system
- scoring
- search
- search method
- signal processing
- smoothing
- speech processing
- speech recognition
- spelling
- splitting
- synthesis
- text-to-speech
- text-to-speech synthesis
- viterbi
- viterbi algorithm
- weighting
Other assigned terms:
- alphabet
- approach
- bigram
- case
- co-occurrence
- corpora
- dictionary
- dictionary entry
- distribution
- encyclopedia
- estimation
- fact
- feature
- feature vectors
- hypernym
- hyponym
- hypotheses
- hypothesis
- implementation
- index
- labeling
- language model
- language models
- lexicon
- likelihood
- measures
- method
- n-best list
- phonemes
- phonetic alphabet
- phonetic sequence
- probabilities
- probability
- pronunciation
- queries
- query
- recognition component
- recognition errors
- segments
- semantic
- semantic filter
- signal
- similarity measures
- speech database
- statistical model
- statistics
- symbols
- technique
- term
- terms
- text
- text corpora
- text corpus
- text database
- text documents
- text segment
- text segments
- topics
- topology
- training
- training data
- transcriptions
- transition probabilities
- translations
- user
- vocabulary
- vocabulary size
- word
- word dictionary
- word form
- word recurrence
- word types
- words
