Paper: Simple, readable sub-sentences

ACL ID P13-3021
Title Simple, readable sub-sentences
Venue Annual Meeting of the Association of Computational Linguistics
Session Student Session
Year 2013
Authors

We present experiments using a new unsu- pervised approach to automatic text sim- plification, which builds on sampling and ranking via a loss function informed by readability research. The main idea is that a loss function can distinguish good simplification candidates among randomly sampled sub-sentences of the input sen- tence. Our approach is rated as equally grammatical and beginner reader appro- priate as a supervised SMT-based baseline system by native speakers, but our setup performs more radical changes that better resembles the variation observed in human generated simplifications.