ACL RD-TEC 1.0 Summarization of P00-1029
Paper Title:
INDUCING PROBABILISTIC SYLLABLE CLASSES USING MULTIVARIATE CLUSTERING
INDUCING PROBABILISTIC SYLLABLE CLASSES USING MULTIVARIATE CLUSTERING
Authors: Karin Müller and Bernd Möbius and Detlef Prescher
Primarily assigned technology terms:
- algorithm
- automatic speech recognition
- clustering
- clustering algorithm
- em algorithm
- em-based clustering
- g2p conversion
- grapheme-to-phoneme conversion
- illustration
- induction
- learning
- likelihood estimation
- many-to-one mapping
- maximum likelihood
- maximum likelihood estimation
- morphological analysis
- multivariate clustering
- pseudo-disambiguation
- qualitative evaluation
- re-estimation
- recognition
- speech recognition
- text-to-speech
- transcription
- tts system
- unsupervised learning
Other assigned terms:
- ambiguity
- ambiguous words
- annotation
- approach
- automatic conversion
- british national corpus
- case
- characters
- class probability
- content words
- context-free grammar
- corpora
- determiners
- dictionary
- dimensionality
- distribution
- dutch
- estimation
- fact
- foreign words
- frequency counts
- function words
- grammar
- grammars
- grapheme
- hypotheses
- index
- interpretation
- knowledge
- lexical content
- lexical entries
- lexicon
- likelihood
- linguistic
- log-likelihood
- mapping
- meaning
- method
- morphemes
- morphological structure
- names
- newspaper corpus
- nonterminal
- nouns
- nucleus
- phoneme
- phoneme string
- phonemes
- phonological information
- priori
- probabilistic information
- probabilities
- probability
- probability distribution
- probability model
- pronunciation
- pronunciation dictionary
- proper names
- pseudo-disambiguation task
- semantic
- semantic relations
- spoken language
- stress
- structural information
- syllable structure
- syllables
- syntax
- terms
- test set
- text
- text corpora
- text corpus
- training
- training corpus
- training data
- transcriptions
- trees
- unannotated text
- unannotated text corpora
- vowel
- word
- word classes
- words
