ACL RD-TEC 1.0 Summarization of W06-1644

Paper Title:
STYLE & TOPIC LANGUAGE MODEL ADAPTATION USING HMM-LDA

Authors: Bo-June (Paul) Hsu and James Glass

Other assigned terms:

  • approach
  • asr transcript
  • association for computational linguistics
  • bias
  • cache
  • case
  • cluster
  • clusters
  • collocation
  • concept
  • content words
  • convergence
  • conversational speech
  • data structure
  • development set
  • dirichlet allocation
  • dirichlet distribution
  • distribution
  • document
  • domain model
  • dynamic model
  • entropy
  • error rate
  • feature
  • feature vectors
  • heuristic
  • hypotheses
  • implementation
  • interpolation
  • keyword
  • knowledge
  • labeled training data
  • labeling
  • language model
  • language models
  • large training
  • latent semantic
  • likelihood
  • linear algebra
  • linguistics
  • local context
  • maps
  • markov chain
  • matlab
  • measure
  • method
  • model combination
  • model parameters
  • n-gram
  • n-gram language model
  • n-gram model
  • n-grams
  • natural language
  • opinions
  • paragraph
  • parameter values
  • part-of-speech
  • perplexity
  • perplexity reduction
  • posterior
  • prepositions
  • priori
  • probabilities
  • probability
  • probability estimates
  • process
  • recognition errors
  • semantic
  • sentence
  • sentences
  • signal
  • statistics
  • style
  • style model
  • style trigram model
  • syntactic behavior
  • syntax
  • target sentence
  • test set
  • text
  • textbook
  • toolkit
  • topic language model
  • topics
  • training
  • training corpus
  • training data
  • training document
  • training set
  • transcript
  • transcriptions
  • transcripts
  • trigram
  • trigram model
  • unigram
  • unigram topic
  • unlabeled corpus
  • utterance
  • vocabulary
  • vocabulary size
  • word
  • word collocation
  • word distribution
  • word error rate
  • word error rates
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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