11. The automatic essay evaluator of claim 10 , wherein the vector file generator is further configured to determine a plurality of vectors associated with the vocabulary usage trait, the plurality of vectors including values associated with a content vector score based on a plurality of cosine values associated with the vocabulary usage trait, the vector file generator being further configured to identify a relatively high cosine value of the plurality of cosine values and identify a vector length based on a plurality of vectors associated with the vocabulary usage trait.
11. The automatic essay evaluator of claim 10 , wherein the vector file generator is further configured to determine a plurality of vectors associated with the vocabulary usage trait, the plurality of vectors including values associated with a content vector score based on a plurality of cosine values associated with the vocabulary usage trait, the vector file generator being further configured to identify a relatively high cosine value of the plurality of cosine values and identify a vector length based on a plurality of vectors associated with the vocabulary usage trait. 12. The automatic essay evaluator of claim 11 , wherein the vector file generator is further configured to determine a feature weight based on scores of previously evaluated essays utilizing equation: 
 weight i,s =(freq i,s /max_freq s )* log(n_essays total in essays i ) wherein: weight i,s is the feature weight of a feature i in the essay having a score s; freq i,s is a frequency of the feature i in the essay having the score s; max_freq i,s is a maximum frequency of the feature i in a previously evaluated essay having the score s of the previously evaluated essays; n_essaya total is a total number of the previously evaluated essays; and n_essays i is a number of previously evaluated essays having the feature i of said previously evaluated essays.