We present a rule based automatic text simplification tool for Swedish. The tool is designed to facilitate experimentation with various simplification techniques. The architecture of the tool is inspired by and partly built on a previous text simplification tool for Swedish, CogFLUX. New functionality, new operation types, and new simplification operations were added.

Newswire text is often linguistically complex and stylistically decorated, hence very difficult to comprehend for people with reading disabilities. Acknowledging that events represent the most important information in news, we propose an eventcentered approach to news simplification. Our method relies on robust extraction of factual events and elimination of surplus information which is not par...

We investigate sentence deletion and split decisions in Spanish text simplification for two different corpora aimed at different groups of users. We analyse sentence transformations in two parallel corpora of original and manually simplified texts for two different types of users and then conduct two classification experiments: classifying between those sentences to be deleted and those to be k...

A syntactically complex text may represent a problem for both comprehension by humans and various NLP tasks. A large number of studies in text simplification are concerned with this problem and their aim is to transform the given text into a simplified form in order to make it accessible to the wider audience. In this study, we were investigating what the natural tendency of texts is in 20th ce...

Psycholinguistic properties of words have been used in various approaches to Natural Language Processing tasks, such as text simplification and readability assessment. Most of these properties are subjective, involving costly and time-consuming surveys to be gathered. Recent approaches use the limited datasets of psycholinguistic properties to extend them automatically to large lexicons. Howeve...

Text simplification aims at reducing the lexical, grammatical and structural complexity of a text while keeping the same meaning. In the context of machine translation, we introduce the idea of simplified translations in order to boost the learning ability of deep neural translation models. We conduct preliminary experiments showing that translation complexity is actually reduced in a translati...

We present a method for the sentence-level alignment of short simplified text to the original text from which they were adapted. Our goal is to align a medium-sized corpus of parallel text, consisting of short news texts in Spanish with their simplified counterpart. No training data is available for this task, so we have to rely on unsupervised learning. In contrast to bilingual sentence alignm...

We give a new simplification method, called E-cycle Simplification, for Basic Completion inference systems. We prove the completeness of Basic Completion with E-cycle Simplification. We prove that E-cycle Simplification is strictly stronger than the only previously known complete simplification method for Basic Completion, Basic Simplification, in the sense that every derivation involving Basic...

The problem of legal discourse translation and interpretation arises due to the numerous issues globalization European integration. Although a large number studies are devoted peculiarities English discourse, issue adequate terminology is urgent. Moreover, interpreted either using an equivalent, which may not always be understood or known addressees text, descriptive translation, that, should b...

We demonstrate a substantial evidence that the word length can be an essential lexical structural feature for word evolution in written Chinese. The data used in this study are diachronic Chinese short narrative texts with a time span of over 2000-years. We show that the increase of word length is an essential regularity in word evolution. On the one hand, word frequency is found to depend on w...