10. The method of claim 1 , wherein calculating the relevance-score for each unique combination based at least in part on the contextual speller model comprises modifying the calculated relevance-score of each unique combination comprising an n-gram having a frequency of use in the personal language model different from a frequency of use in the standard language model greater than a threshold frequency of use.
10. The method of claim 1 , wherein calculating the relevance-score for each unique combination based at least in part on the contextual speller model comprises modifying the calculated relevance-score of each unique combination comprising an n-gram having a frequency of use in the personal language model different from a frequency of use in the standard language model greater than a threshold frequency of use. 11. The method of claim 10 , wherein modifying the calculated relevance-score of each unique combination comprising the n-gram having the frequency of use in the personal language model different from the frequency of use in the standard language model greater than the threshold frequency of use comprises: increasing a probability of the n-gram appearing in the search query, the n-gram having the frequency of use in the personal language model different from the frequency of use in the standard language model greater than or equal to the threshold frequency of use; or decreasing the probability of the n-gram appearing in the search query, the n-gram having the frequency of use in the personal language model different from the frequency of use in the standard language model less than the threshold frequency of use.