{"repository":{"description":"k-Met is a phonetic clustering algorithm for grouping words by their approximate pronunciation. It uses fuzzy matching techniques and the double metaphone indexing algorithm.","homepage":"","watchers":2,"stargazers":2,"forks":0,"fork":false,"size":148,"owner":"amsqr","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"Python","created_at":"2012-02-16T12:21:33-08:00","pushed_at":"2012-02-16T12:46:28-08:00","master_branch":"master"},"actor_attributes":{"type":"User","email":"da39a3ee5e6b4b0d3255bfef95601890afd80709"},"url":"https://github.com/amsqr/k-Met"}