ACL RD-TEC 1.0 Summarization of I05-3010
Paper Title:
TURN-TAKING IN MANDARIN DIALOGUE: INTERACTIONS OF TONE AND INTONATION
TURN-TAKING IN MANDARIN DIALOGUE: INTERACTIONS OF TONE AND INTONATION
Primarily assigned technology terms:
- approximation
- classification
- classifier
- classifiers
- cross-validation
- decision trees
- discriminative classifier
- feature selection
- hidden markov
- hidden markov models
- identification
- illustration
- kernels
- maximum entropy
- measuring
- modeling
- n-gram construction
- n-gram feature selection
- neural networks
- normalization
- recognition
- recognizer
- sampling
- segmentation
- speech recognizer
- support vector machines
- tone realization
- type classification
- word segmentation
Other assigned terms:
- 10-fold cross-validation
- approximation model
- case
- chunk
- chunks
- classification accuracy
- classification task
- classification tasks
- contextual features
- contour
- conversation
- conversational speech
- data consortium
- data set
- dialogues
- dictionary
- discourse
- discourse structure
- discriminative model
- duration
- entropy
- entropy models
- feature
- gesture
- implementation
- intonation
- language model
- language models
- lexical features
- linguistic
- linguistic data
- linguistic data consortium
- mandarin chinese
- mapping
- markov models
- maximum entropy models
- meaning
- methodology
- n-gram
- particles
- phonemes
- pinyin
- pitch
- pitch contour
- process
- prosodic features
- prosody
- segments
- sentence
- signal
- silence
- speaker change
- support vector
- syllables
- syntax
- test set
- text
- tone
- training
- transcripts
- trees
- turn transition
- turn-taking
- word
- word duration
- word features
- word meaning
- words
- z-score
