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It remains unclear whether or not many of the 3 character new gTLD applications will face high probability of being deemed too similar to existing ccTLDs. According to industry blog, [[Domain Incite]], 304 of 375 applications for three-letter gTLDs have only one character variance with one or more existing [[ccTLD]]. In total, if a single additional character is enough to create similarity, there are 368 potential ccTLD/gTLD conflicts in the current application round. Furthermore, the visual similarity ratio between ccTLDs and gTLDs, as measured by ICANN's [[SWORD Algorithm]] is generally only a few percentage points lower than in the case of TLDs that have already been rejected on confusing similarity grounds.<ref>[http://domainincite.com/pro/tag/string-similarity-panel/ String Similarity Panel, DomainIncite.com/pro]</ref>
 
It remains unclear whether or not many of the 3 character new gTLD applications will face high probability of being deemed too similar to existing ccTLDs. According to industry blog, [[Domain Incite]], 304 of 375 applications for three-letter gTLDs have only one character variance with one or more existing [[ccTLD]]. In total, if a single additional character is enough to create similarity, there are 368 potential ccTLD/gTLD conflicts in the current application round. Furthermore, the visual similarity ratio between ccTLDs and gTLDs, as measured by ICANN's [[SWORD Algorithm]] is generally only a few percentage points lower than in the case of TLDs that have already been rejected on confusing similarity grounds.<ref>[http://domainincite.com/pro/tag/string-similarity-panel/ String Similarity Panel, DomainIncite.com/pro]</ref>
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==Sword Algorithm==
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==References==
 
==References==
 
{{reflist}}
 
{{reflist}}
    
[[Category:Glossary]]
 
[[Category:Glossary]]

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