• DocumentCode
    2698374
  • Title

    Natural Language Watermarking by Morpheme Segmentation

  • Author

    Kim, Mi-Young

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Sungshin Women´´s Univ., Seoul, South Korea
  • fYear
    2009
  • fDate
    1-3 April 2009
  • Firstpage
    144
  • Lastpage
    149
  • Abstract
    This paper explores the method for Korean text watermarking and develops a morpheme-based scheme that a predicate nominal is segmented into a nominal and a predicate. Korean, as an agglutinative language, provides a good ground for the morpheme-based natural language watermarking. Korean word usually consists of a content morpheme and function morphemes. However, predicate nominal has two content morphemes--nominal and predicate. So, we propose a method to separate a predicate nominal into two words and assign a content morpheme into each of the new words. The division of a predicate nominal does not change the meaning of the sentence, and it also ensures the naturalness of the sentence.Our proposed natural language watermarking method consists of five procedures. First, we perform morphological analysis of unmarked text. Next, we choose target predicate nominals for division, and determine the division type. And then, we employ an insertion bit according to the division type. Third, we embed a watermark bit for each predicate nominal. Fourth, if the watermark bit does not correspond to the insertion bit, we divide the predicate nominal into two words. Finally, we obtain marked text. From the experimental results, we show that the rate of unnatural sentences in marked text is significantly lower than that of previous systems. Experimental results also show that the marked text keeps the same style, and it has the same information without semantic distortion.
  • Keywords
    natural language processing; text analysis; watermarking; Korean text watermarking; content morpheme; function morphemes; morpheme segmentation; morpheme-based scheme; natural language watermarking; unmarked text morphological analysis; unnatural sentences; Authentication; Computer science; Data engineering; Database systems; Deductive databases; Information security; Natural language processing; Natural languages; Performance analysis; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information and Database Systems, 2009. ACIIDS 2009. First Asian Conference on
  • Conference_Location
    Dong Hoi
  • Print_ISBN
    978-0-7695-3580-7
  • Type

    conf

  • DOI
    10.1109/ACIIDS.2009.21
  • Filename
    5175983