11. The method of claim 9 , wherein the target statistical occurrence data includes at least one of unigram statistics and bigram statistics for the substrings of the target relational data.
9. A method of forming a target error model to facilitate spell checking input text related to a target data collection comprising steps of: a) providing first and second source query logs comprising query data corresponding to user queries to at least one source data collection by dividing a primary source query log corresponding to user queries to the source data collection into the first and second source query logs; b) generating source statistical occurrence data for substrings of the first source query log; c) generating source relational data including corrective substring suggestions for misspelled substrings of the second source query log based on an application of the statistical occurrence data to the second source query log; d) selecting a subset of the corrective substring suggestions and their corresponding misspelled substrings of the source relational data that relate to substrings of the target data collection as target relational data; e) building a target error model using the target relational data including target statistical occurrence data for the substrings of the target relational data; and f) storing the target error model on a computer readable medium.