• DocumentCode
    1704852
  • Title

    Segmentation and Tagging of Oracle Inscriptions Based on Lucene and Dictionary

  • Author

    Kai Jin-yu ; Li Na ; Liu Yong-ge

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Anyang Normal Univ. Oracle Inf. Process. Key Lab., Anyang, China
  • fYear
    2010
  • Firstpage
    608
  • Lastpage
    610
  • Abstract
    Segmentation and Part of Speech tagging of Oracle inscriptions are the premise and foundation for establishment of Oracle Corpus and computer-aided Oracle textual research and explication. As for segmentation of Oracle inscriptions, this paper proposes a positive match cut algorithm, which adopts language analyzer based on Lucene and supplemented with Oracle Dictionary. Then the segmented words by the algorithm are tagged. Experiments show that the correct rate is more than 90%.
  • Keywords
    dictionaries; grammars; programming languages; text analysis; Lucene; Oracle corpus; Oracle inscriptions segmentation; Oracle inscriptions tagging; computer-aided Oracle textual research; dictionary; language analyzer; part of speech tagging; positive match cut algorithm; segmented words; Accuracy; Computers; Dictionaries; Indexes; Laboratories; Speech; Tagging; Lucene; Oracle inscriptions; segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2010 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4244-8626-7
  • Electronic_ISBN
    978-0-7695-4258-4
  • Type

    conf

  • DOI
    10.1109/MINES.2010.133
  • Filename
    5671071
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1704852