Syntactically complex sentences constitute an obstacle for some people with Autistic Spectrum Disorders. This paper evaluates a set of simplification rules specifically designed for tackling complex and compound sentences. In total, 127 different rules were developed for the rewriting of complex sentences and 56 for the rewriting of compound sentences. The evaluation assessed the accuracy of th...

In this paper we discuss the degree of readability of historical texts for a broad public. We argue that text simplification methods can improve significantly this aspect and bring an added value to historical texts. We present a specific example, a genuine multilingual historical texts, which should be available at least to researchers from different fields and propose a mechanism for simplify...

While the automatic analysis of the readability of texts has a long history, the use of readability assessment for text simplification has received only little attention so far. In this paper, we explore readability models for identifying differences in the reading levels of simplified and unsimplified versions of sentences. Our experiments show that a relative ranking is preferable to an absol...

Around 10% of the population has dyslexia, a reading disability that negatively affects a person's ability to read and comprehend texts. Previous work has studied how to optimize the text layout, but adapting the text content has not received that much attention. In this paper, we present an eye-tracking study that investigates if people with dyslexia would benefit from content simplification. ...

We explore the application of a Deep Structured Similarity Model (DSSM) to ranking in lexical simplification. Our results show that the DSSM can effectively capture fine-grained features to perform semantic matching when ranking substitution candidates, outperforming the stateof-the-art on two standard datasets used for the task.

Simplified texts are commonly used by teachers and students in bilingual education and other language-learning contexts. These texts are usually manually adapted, and teachers say this is a timeconsuming and sometimes challenging task. Our goal is the development of tools to aid teachers by automatically proposing ways to simplify texts. As a first step, this paper presents a detailed analysis ...

The subject is divided below under different heads and sub-heads with a view, to simplification. and in the hope that the simplification will help in -organizing maternity and child welfare work in railway areas. This subject is gaining great importance since India has attained her freedom. R^intly a symposium on maternal and child health^Work in India was opened for four days on 30th December,...

The growing availability of massive models and the inability of most existing visualization tools to work with them requires efficient new methods for massive mesh simplification. In this paper, we present a completely adaptive, virtual memory based simplification algorithm for large polygonal datasets. The algorithm is an enhancement of RSimp [2], enabling out of core simplification without re...

for large and complex reacting systems, computational efficiency becomes a critical issue in process simulation, optimization and model-based control. mechanism simplification is often a necessity to improve computational speed. we present a novel approach to simplification of reaction networks that formulates the model reduction problem as an optimization problem and solves it using genetic al...