10. The method of claim 1 , further comprising: generating a plurality of conditional probability values associated with the plurality of n-grams, wherein each conditional probability value is based at least in part on a frequency of occurrence of an n-gram in the plurality of sets of sequential features associated with known writing systems; and generating the classification score based on the plurality of conditional probability values.
10. The method of claim 1 , further comprising: generating a plurality of conditional probability values associated with the plurality of n-grams, wherein each conditional probability value is based at least in part on a frequency of occurrence of an n-gram in the plurality of sets of sequential features associated with known writing systems; and generating the classification score based on the plurality of conditional probability values. 28. The method of claim 10 , wherein a conditional probability value for a first n-gram is determined based at least in part on observations for one or more other n-grams in the sets of sequential features associated with the known writing systems, wherein the one or more other n-grams precede the first n-gram in the plurality of n-grams.