Text simplification, defined narrowly, is the process of reducing the linguistic complexity of a
text, while still retaining the original information and meaning. More broadly, text …

Text simplification modifies syntax and lexicon to improve the understandability of language
for an end user. This survey identifies and classifies simplification research within the period …

In this paper we describe a method for simplifying sentences using Phrase Based Machine
Translation, augmented with a re-ranking heuristic based on dissimilarity, and trained on a …

Memory-based language processing (MBLP) views language processing as being based on
the direct reuse of previous experience rather than on the use of rules or other structures …

We present a method for lexical simplification. Simplification rules are learned from a
comparable corpus, and the rules are applied in a context-aware fashion to input sentences …

We address the problem of simplifying Portuguese texts at the sentence level by treating it
as a “translation task”. We use the Statistical Machine Translation (SMT) framework to learn …

In this paper we investigate the main linguistic phenomena that can make texts complex and
how they could be simplified. We focus on a corpus analysis of simple account texts …

Availability of corpora with technical and simplified contents is crucial for the development
and test of methods for text simplification. We describe this kind of corpus for the French …

The purpose of automatic text simplification is to adapt the content of documents in order to
make them easier to understand by a given population or to improve the performance of …

In this paper we investigate the automatic generation and evaluation of sentential
paraphrases. We describe a method for generating sentential paraphrases by using a large …