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 :
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