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
Link To Document