6. The method of claim 5 , wherein said generating of the language model comprises using an n-gram technique to generate the language model.
6. The method of claim 5 , wherein said generating of the language model comprises using an n-gram technique to generate the language model. 7. The method of claim 6 , wherein, in the n-gram technique, the language model approximates a probability of an occurrence (P) of a string (s) occurring within the textual information, based on the following: P ⁡ ( s ) = ⁢ ∑ m i = 1 ⁢ p ⁡ ( w i | w i - 1 ) = ⁢ P ⁡ ( w 1 ) · P ⁡ ( w 2 | w 1 ) · P ⁡ ( w 3 | w 2 ) · P ⁡ ( w 4 | w 3 ) · ⁢ P ⁡ ( w 5 | w 4 ) ⁢ ⁢ … ⁢ · P ⁡ ( w m | w m - 1 ) wherein m is a number of words in the string (s) and w is word.