Paper: Automated Essay Scoring for Swedish

ACL ID W13-1705
Title Automated Essay Scoring for Swedish
Venue Innovative Use of NLP for Building Educational Applications
Session
Year 2013
Authors

We present the first system developed for auto- mated grading of high school essays written in Swedish. The system uses standard text qual- ity indicators and is able to compare vocabu- lary and grammar to large reference corpora of blog posts and newspaper articles. The system is evaluated on a corpus of 1 702 essays, each graded independently by the student?s own teacher and also in a blind re-grading process by another teacher. We show that our system?s performance is fair, given the low agreement between the two human graders, and further- more show how it could improve efficiency in a practical setting where one seeks to identify incorrectly graded essays.