Paper: Atypical Prosodic Structure as an Indicator of Reading Level and Text Difficulty

ACL ID N13-1085
Title Atypical Prosodic Structure as an Indicator of Reading Level and Text Difficulty
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2013
Authors

Automatic assessment of reading ability builds on applying speech recognition tools to oral reading, measuring words correct per minute. This work looks at more fine-grained analysis that accounts for effects of prosodic context using a large corpus of read speech from a literacy study. Experiments show that lower-level readers tend to produce relatively more lengthening on words that are not likely to be final in a prosodic phrase, i.e. in less appropriate locations. The results have impli- cations for automatic assessment of text dif- ficulty in that locations of atypical prosodic lengthening are indicative of difficult lexical items and syntactic constructions.