• DocumentCode
    551515
  • Title

    Classifier combination for telegraphese restoration

  • Author

    Santoso, Leo Willyanto

  • Author_Institution
    Dept. of Comput. Sci., Petra Christian Univ., Surabaya, Indonesia
  • Volume
    1
  • fYear
    2011
  • fDate
    4-7 Aug. 2011
  • Firstpage
    79
  • Lastpage
    82
  • Abstract
    This paper presents a classifier combination to solve telegraphese restoration problem. By implementing more than one classifier, it can support other classifier, and finally it can improve the performance. Using supplied development data, training data and testing data, the best model had an accuracy F = 79 %.
  • Keywords
    learning (artificial intelligence); pattern classification; classifier combination; development data supply; telegraphese restoration; testing data; training data; Accuracy; Classification algorithms; Machine learning; Machine learning algorithms; Speech; Tagging; Training; Classifier combination; Penn Treebank tagset; chunk parsing; telegraphese restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-9985-4
  • Electronic_ISBN
    978-1-4244-9984-7
  • Type

    conf

  • DOI
    10.1109/URKE.2011.6007844
  • Filename
    6007844
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=551515