29. The system of claim 20 , wherein the instructions to calculate the relevance-score for each unique combination based at least in part on the contextual speller model further comprise instructions to: modify 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.
29. The system of claim 20 , wherein the instructions to calculate the relevance-score for each unique combination based at least in part on the contextual speller model further comprise instructions to: modify 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. 30. The system of claim 29 , wherein the instructions to modify 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 further comprise instructions to: increase 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 decrease 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.