This study presents the results of an initial phase of a project seeking to convert texts into a more accessible form for people with autism spectrum disorders by means of text simplification technologies. Random samples of Simple Wikipedia articles are compared with texts from News, Health, and Fiction genres using four standard readability indices (Kincaid, Flesch, Fog and SMOG) and sixteen l...

We have developed the TextEvaluator system for providing text complexity and Common Core-aligned readability information. Detailed text complexity information is provided by eight component scores, presented in such a way as to aid in the user’s understanding of the overall readability metric, which is provided as a holistic score on a scale of 100 to 2000. The user may select a targeted US gra...

We analyze the rank-frequency distributions of words in selected English and Polish texts. We show that for the lemmatized (basic) word forms the scale-invariant regime breaks after about two decades, while it might be consistent for the whole range of ranks for the inflected word forms. We also find that for a corpus consisting of texts written by different authors the basic scale-invariant re...

ReaderBench is a multi-purpose, multi-lingual and flexible environment that enables the assessment of a wide range of learners’ productions and their manipulation by the teacher. ReaderBench allows the assessment of three main textual features: cohesion-based assessment, reading strategies identification and textual complexity evaluation, which have been subject to empirical validations. Reader...

Efficient indexing and retrieval of digital video is an important aspect of video databases. One powerful index for retrieval is the text appearing in them. It enables content based browsing. In this paper, we describe a system for detecting and extracting text appearing in video frames A supervised learning method based on color and edge information is used to detect text regions. After an uns...

the present meta-analysis was conducted to provide a quantitative measure of the overall effects of task complexity on chinese efl learners’ language production. based on the strict inclusion criteria, 12 primary studies were synthesized according to key features. eleven of them were meta-analyzed to investigate effects of raising the resource-directing task complexity. results revealed that ...

Text mining is a very exciting research area as it tries to discover knowledge from unstructured texts. These texts can be found on a computer desktop, intranets and the internet. The aim of this paper is to give an overview of text mining in the contexts of its techniques, application domains and the most challenging issue. The focus is given on fundamentals methods of text mining which includ...

We present a near realtime text tracking system capable of detecting and tracking text on outdoor shop signs or indoor notices, at rates of up to 15 frames per second (for generous 640× 480 images), depending on scene complexity. The method is based on extracting text regions using a novel tree-based connected component filtering approach, combined with the Eigen-Transform texture descriptor. T...

Currently, there is a lack of text complexity awareness in NLG systems. Much attention has been given to text simplification. However, based upon results of an experiment, we unveiled that sophisticated readers in fact would rather read more sophisticated text, instead of the simplest text they could get. Therefore, we propose a technique that considers different readability levels during the m...

In this article, we show how a bilingual text-translation alignment method can be adapted to deal with more than two versions of a text. Experiments on a trilingual corpus demonstrate that this method yields better bilingual alignments than can be obtained with bilingual text-alignment methods. Moreover, for a given number of texts, the computational complexity of the multilingual method is the...