13. The system of claim 12 wherein the textual unit is a document to be assessed.
12. A computer-implemented system for assessing an editorial quality of a textual unit, the system comprising: a processor; and a feature extraction component, executed by the processor, configured to generate a plurality of training-time feature vectors by automatically extracting features, which include grammar and spelling features, word n-grams and linguistic analysis features based on automatic syntactic and semantic analysis, from first versions of training documents that represent a first class of text and last versions of training documents that represent a second class of text, and configured to combine the extracted grammar and spelling features, the extracted word n-grams and the extracted linguistic analysis features to form the plurality of training-time feature vectors, and further configured to generate a run-time feature vector for the textual unit to be assessed by automatically extracting features from the textual unit; and a machine-learned classifier, trained based on the plurality of training-time feature vectors with the help of the processor, configured to evaluate the run-time feature vector and to provide an assessment of the editorial quality of the textual unit based on a degree of similarity in quality of the textual unit to either the first versions of the training documents that represent the first class of text or the last versions of the training documents that represent the second class of text, wherein the first versions of the training documents are unedited documents and wherein the last versions of the training documents are edited documents, and wherein the linguistic analysis features include at least one logical form feature, and wherein each of the plurality of training-time feature vectors includes a designator of the editorial quality of a training document, of the training documents, to which it corresponds.