We present ERNESTA (Enhanced Readability through a Novel Event-based Simplification Tool), the first sentence simplification system for Italian, specifically developed to improve the comprehension of factual events in stories for children with low reading skills. The system performs two basic actions: First, it analyzes a text by resolving anaphoras (including null pronouns), so as to make all ...

In this paper we present a readability assessment system for Basque, ErreXail, which is going to be the preprocessing module of a Text Simplification system. To that end we compile two corpora, one of simple texts and another one of complex texts. To analyse those texts, we implement global, lexical, morphological, morpho-syntactic, syntactic and pragmatic features based on other languages and ...

The complexity of sentences characteristic to biomedical articles poses a challenge to natural language parsers, which are typically trained on large-scale corpora of non-technical text. We propose a text simplification process, bioSimplify, that seeks to reduce the complexity of sentences in biomedical abstracts in order to improve the performance of syntactic parsers on the processed sentence...

Text simplification involves restructuring sentences by replacing particular syntactic constructs (like embedded clauses and appositives). The aim is to make the text easier to read for some target group (like aphasics and people with low reading ages) or easier to process by some program (like a parser or machine translation system). However, sentencelevel syntactic restructuring can wreak hav...

Abstract This article intends to focus on the concept of linguistic border in verbal system contemporary Pashto, an Iranian language mainly spoken Afghanistan and Pakistan. A careful, systematic, detailed analysis used radical simple verbs different Pashto dialects draws attention a certain degree variation one third these verbs, which are switching from category another. Thanks our research we...

The formal theory of division in arithmetical algebras reconstructs fractions as syntactic objects called fracterms. Basic to calculation, is the simplification fracterms with one operator, a process fracterm attening. We consider equational axioms calculus for calculating determine what necessary and sufficient allow flattening. For computation, require operators be total which there are sever...

We release the Simple Paraphrase Database, a subset of of the Paraphrase Database (PPDB) adapted for the task of text simplification. We train a supervised model to associate simplification scores with each phrase pair, producing rankings competitive with state-of-theart lexical simplification models. Our new simplification database contains 4.4 million paraphrase rules, making it the largest a...

In the NLP context identification has become a prominent way to overcome syntactic and semantic ambiguities. Ambiguities are unsolved problems but can be reduced certain level. This ambiguity reduction helps improve quality of several processes, such as text translation, simplification, retrieval, word sense disambiguation, etc. Context identification, also known contextualization, takes place ...

Common techniques for acquiring semantic relations rely on static domain and linguistic resources, predefined patterns, and the presence of syntactic cues. We propose a hybrid approach which brings together established and novel techniques in lexical simplification, word disambiguation and association inference for acquiring coarse-grained relations between potentially ambiguous and composite t...

This article presents the open source BINSEC platform for (formal) binary-level code analysis. The platform is based on an extension of the DBA Intermediate Representation, and it is composed of three main modules: a front-end including several syntactic disassembly algorithms and heavy simplification of the resulting IR, a simulator supporting the recent low-level region-based memory model, an...