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Title:      CYBERSQUATTING DETECTION BY AUTOMATIC DOMAIN NAME RE-ACCENTING
Author(s):      Jean Ceccato, Anthony Don
ISBN:      978-989-8533-09-8
Editors:      Bebo White and Pedro Isaías
Year:      2012
Edition:      Single
Keywords:      Domain name re-accenting, Cybersquatting, Internationalized Domain names, Natural language processing
Type:      Full Paper
First Page:      195
Last Page:      202
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      In 2012 it has become possible to buy accented .fr and .it domain names (AFNIC, 2012) (Euro DNS, 2012). Numerous people have raised concerns about this decision(Honorat, 2012) (Un simple clic, 2012). They are expecting a huge rise of cybersquatting. The current paper presents a method to automatically find relevant accented forms of an unaccented domain name in order to help protecting one’s trademark against cybersquatters. Although re-accenting texts has been a widely-tackled issue, it has always been done with the hypothesis that the language used was known or that the context would be sufficient to determine it. Domain names do not have blank or coma separators, they have a very short context and an almost nonexistent syntax. The proposed method generates the most relevant accented forms for the considered languages. This method actually works with six different languages (French, Spanish, Italian, German Polish and Portuguese) and the implementation has been designed keeping in mind the ability to add new languages, provided that the needed documents to initialize the model are supplied (a dictionary and a large corpus of texts).
   

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