ACL RD-TEC 1.0 Summarization of C98-1117
Paper Title:
CHARACTERIZING AND RECOGNIZING SPOKEN CORRECTIONS IN HUMAN-COMPUTER DIALOGUE
CHARACTERIZING AND RECOGNIZING SPOKEN CORRECTIONS IN HUMAN-COMPUTER DIALOGUE
Primarily assigned technology terms:
- classification
- classifier
- classifiers
- complex reasoning
- cross-validation
- data analysis
- decision tree
- decision tree classifier
- decision trees
- dialog systems
- encoding
- error correction
- human-computer dialogue
- identification
- learning
- learning techniques
- machine learning
- machine learning techniques
- measuring
- parser
- pause insertion
- reasoning
- recognition
- recognition process
- recognition systems
- recognizer
- repair
- sampling
- speech recognition
- speech recognition systems
- speech synthesis
- speech systems
- spoken dialog
- spoken dialog systems
- spoken language system
- spoken language systems
- synthesis
- transcription
- tree classifier
- tree design
Other assigned terms:
- accent
- accent type
- background noise
- case
- contour
- conversation
- decision tree design
- dialog
- discourse
- discourse function
- discourse relations
- duration
- error rate
- extraneous background noise
- feature
- feature set
- lexical content
- likelihood
- measure
- measures
- message
- method
- noise
- pause
- pause duration
- pauses
- pitch
- pitch accent
- pitch contour
- pitch height and range
- pitch rise
- pitch variability
- probability
- procedure
- process
- query
- recognition accuracy
- recognition errors
- relation
- silence
- speaking rate
- speaking style
- speech input
- spoken language
- standard deviation
- style
- sun microsystems
- syllables
- system development
- technique
- terms
- text
- tone
- toolkit
- transcript
- tree
- trees
- user
- user utterances
- utterance
- words
