We propose a method for creating a model of pronunciation variation from a phonetically untranscribed corpus of read speech recorded by nonnative speakers. The pronunciation variation model is used to generate multiple pronunciations for each canonical pronunciation in a pronouncing dictionary and these variations are used in the spelling correction approach developed by <cite>Toutanova and Moore (2002)</cite> , which uses statistical models of spelling errors that consider both orthography and pronunciation.