6. The method of claim 5 , further comprising evaluating the at least three sequential tokens as having a linguistic error upon the third numerical value deviating from the first threshold value and the second numerical value deviating from a second threshold value using a classification function having a form: y = { 1 if ⁢ ⁢ f ( a , b , c , d , e , f , … ⁢ ) 〈 θ ⁢ ⁢ and ⁢ ⁢ ln ⁡ ( Q ( a , b , c , d , e , f , … ⁢ ) ) 〉 ⁢ δ 0 otherwise , wherein the classification function evaluated as y=1 corresponds to a verification that the at least three sequential tokens include a potential linguistic error.
5. The method of claim 2 , further comprising retrieving numerical values used in calculating the first and second numerical values from a statistical N-gram language model formed of a structured set of conditional probabilities assigned to single words and specific sequences of words as derived from a corpus of language text.