Entry Hao:2013:TPP from talip.bib

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BibTeX entry

@Article{Hao:2013:TPP,
  author =       "Tianyong Hao and Chunshen Zhu",
  title =        "Toward a Professional Platform for {Chinese} Character
                 Conversion",
  journal =      j-TALIP,
  volume =       "12",
  number =       "1",
  pages =        "1:1--1:??",
  month =        mar,
  year =         "2013",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/2425327.2425328",
  ISSN =         "1530-0226 (print), 1558-3430 (electronic)",
  ISSN-L =       "1530-0226",
  bibdate =      "Sat Mar 2 09:25:42 MST 2013",
  bibsource =    "http://portal.acm.org/;
                 http://www.math.utah.edu/pub/tex/bib/talip.bib",
  abstract =     "Increasing communication among Chinese-speaking
                 regions using respectively traditional and simplified
                 Chinese character systems has highlighted the
                 subtle-yet-extensive differences between the two
                 systems, which can lead to unexpected hindrance in
                 converting characters from one to the other. This
                 article proposes a new priority-based multi-data
                 resources management model, with a new algorithm called
                 Fused Conversion algorithm from Multi-Data resources
                 (FCMD), to ensure more context-sensitive, human
                 controllable, and thus more reliable conversions, by
                 drawing on reverse maximum matching, n -gram-based
                 statistical model and pattern-based learning and
                 matching. After parameter training on the Tagged
                 Chinese Gigaword corpus, its conversion precision
                 reaches 91.5\% in context-sensitive cases, the most
                 difficult part in the conversion, with an overall
                 precision rate at 99.8\%, a significant improvement
                 over the state-of-the-art models. The conversion
                 platform based on the model has extra features such as
                 data resource selection and $n$-grams self-learning
                 ability, providing a more sophisticated tool good
                 especially for high-end professional uses.",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "ACM Transactions on Asian Language Information
                 Processing",
  journal-URL =  "http://portal.acm.org/browse_dl.cfm?&idx=J820",
}

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