Entry Zhang:2012:ABH from talip.bib

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BibTeX entry

@Article{Zhang:2012:ABH,
  author =       "Lidan Zhang and Kwop-Ping Chan",
  title =        "Adaptive {Bayesian HMM} for Fully Unsupervised
                 {Chinese} Part-of-Speech Induction",
  journal =      j-TALIP,
  volume =       "11",
  number =       "3",
  pages =        "9:1--9:??",
  month =        sep,
  year =         "2012",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/2334801.2334803",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Tue Sep 11 14:17:04 MDT 2012",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "We propose an adaptive Bayesian hidden Markov model
                 for fully unsupervised part-of-speech (POS) induction.
                 The proposed model with its inference algorithm has two
                 extensions to the first-order Bayesian HMM with
                 Dirichlet priors. First our algorithm infers the
                 optimal number of hidden states from the training
                 corpus rather than fixes the dimensionality of state
                 space beforehand. The second extension studies the
                 Chinese unknown word processing module which measures
                 similarities from both morphological properties and
                 context distribution. Experimental results showed that
                 both of these two extensions can help to find the
                 optimal categories for Chinese in terms of both
                 unsupervised clustering metrics and grammar induction
                 accuracies on the Chinese Treebank.",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "ACM Transactions on Asian Language Information
                 Processing",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J820",
}

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