Identifying targets for syntactic simplification

Abstract

Most work on automatic text simplification considers lexical difficulty separate from syntactic simplification. In this study, we use both factors together to predict a variety of sentence changes, including the standard problems of splitting and shortening, as well as expanding to define difficult words that are important to the topic. We leverage a variety of lexical and parse features, as well as a score of the relatedness of a sentence to the topic of its document.

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@inproceedings{Medero2011IdentifyingTF, title={Identifying targets for syntactic simplification}, author={Julie Medero and Mari Ostendorf}, booktitle={SLaTE}, year={2011} }