Detection of obligatory contexts and errors and categorization Sample Clauses

Detection of obligatory contexts and errors and categorization. Thirty-two texts were manually inspected for all instances of subject-verb agreement and errors, and all the errors were extracted and copied in a single line as an individual token of an error occurrence in a separate document. In a few instances, the same sentence was repeated due to multiple errors in one sentence. Each error then was annotated according to the date of submission, number given to each text, and subject types, along with comments on potential sources of errors, where possible (see appendix 1). All obligatory agreement occurrences were counted and recorded in a separate excel file categorically by number of agreement contexts and number of errors. Accuracy was then calculated by applying the formula provided by Xxxxx and Barkhuizen (2005: 80), as seen below.