37. The non-transitory computer-readable storage medium of claim 27 , the step of evaluating the trait model comprising: identifying the features of the new essay, wherein the features of the new essay pertain to the one or more traits that are used for building the trait model; determining a plurality of vectors for the features; generating a plurality of vector files based on the plurality of vectors; mapping the features of the new essay to the trait model, wherein mapping the features includes: mapping the plurality of vector files to the trait model, returning a mapping score for mapping of each of the plurality of vector files or each feature in one or more of the plurality of vector files, calculating an automated essay score for the new essay based on the mapping scores, receiving a human essay score for the new essay assigned by a judge or an expert who evaluates the new essay, and comparing the automated essay score with the human essay score; wherein the trait model passes evaluation if the automated essay score agrees with the human essay score within a predetermined range.
37. The non-transitory computer-readable storage medium of claim 27 , the step of evaluating the trait model comprising: identifying the features of the new essay, wherein the features of the new essay pertain to the one or more traits that are used for building the trait model; determining a plurality of vectors for the features; generating a plurality of vector files based on the plurality of vectors; mapping the features of the new essay to the trait model, wherein mapping the features includes: mapping the plurality of vector files to the trait model, returning a mapping score for mapping of each of the plurality of vector files or each feature in one or more of the plurality of vector files, calculating an automated essay score for the new essay based on the mapping scores, receiving a human essay score for the new essay assigned by a judge or an expert who evaluates the new essay, and comparing the automated essay score with the human essay score; wherein the trait model passes evaluation if the automated essay score agrees with the human essay score within a predetermined range. 38. The non-transitory computer-readable storage medium of claim 37 , wherein the essay score is a mean value of the mapping scores; wherein the mean value is calculated as an arithmetic mean, a geometric mean, a mean of a binomial distribution, a mean of a distribution function, a mean of a Gaussian distribution, a mean of a Poisson distribution, or a mean of a voting algorithm.