Thanks all. I've got it working now using a KeywordAnalyzer. The edit distance metric I'm using is purely "edit" based, i.e. when I input "Bennett", I get "Jennett", "Gannett", "Kenneth" and THEN "Bennet". While I see the logic, it's obviously not the best metric. Is there an appropriate edit distance metric that takes phonetics into account?
-----Original Message----- From: Karl Wettin [mailto:[EMAIL PROTECTED] Sent: Thursday, January 31, 2008 6:12 AM To: java-user@lucene.apache.org Subject: Re: Spell checking street names 30 jan 2008 kl. 17.34 skrev Max Metral: > Part of the reason is if we look at some common mistakes: > > > For Commonwealth: > > Communwealth > > Comonwealth > > Common wealth If they are common misstakes you can pick them up using reinforcement learning. <http://issues.apache.org/jira/browse/LUCENE-626> might help you. karl --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED] --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
