Paper: Performance of Automated Scoring for Children’s Oral Reading

ACL ID W11-1406
Title Performance of Automated Scoring for Children’s Oral Reading
Venue Innovative Use of NLP for Building Educational Applications
Session
Year 2011
Authors

For adult readers, an automated system can produce oral reading fluency (ORF) scores (e.g., words read correctly per minute) that are consistent with scores provided by human evaluators (Balogh et al., 2005, and in press). Balogh’s work on NAAL materials used passage-specific data to optimize statistical language models and scoring performance. The current study investigates whether or not an automated system can produce scores for young children’s reading that are consistent with human scores. A novel aspect of the present study is that text-independent rule-based language models were employed (Cheng and Townshend, 2009) to score reading passages that the system had never seen before. Oral reading performances were collected over cell phones from 1 st , 2 nd , an...