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We propose a computationally efficient graph-based approach for local coherence modeling. We evaluate our system on three tasks: sentence ordering, summary coherence rating and readability assess- ment. The performance is …...

While the automatic analysis of the read- ability of texts has a long history, the use of readability assessment for text simplifi- cation has received only little attention so far. …...

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 …...

This paper proposes a graph-based read- ability assessment method using word coupling. Compared to the state-of-the- art methods such as the readability for- mulae, the word-based and feature-based methods, our …...

We report on experiments to test the effectiveness of controlled language (CL) rules on texts from Japanese municipal websites. We compiled a set of rules by trial and error, systematically …...

AbstractIn this paper, we present a method which learns the word embedding for readability assessment. For the existing word embedding models, they typically focus on the syntactic or semantic relations …...

AbstractWe analyze two novel data sets of German educational media texts targeting adults and children. The analysis is based on 400 automatically extracted measures of linguistic complexity from a wide …...

AbstractWe present a multiattentive recurrent neural network architecture for automatic multilingual readability assessment. This architecture considers raw words as its main input, but internally captures text structure and informs its …...

AbstractWe report two essential improvements in readability assessment: 1. three novel features in advanced semantics and 2. the timely evidence that traditional ML models (e.g. Random Forest, using handcrafted features) …...

This paper investigates automatic assessments of text readability for second language learn- ers. The goodness of text readability as- sessment methods has been evaluated using the correlation coefficients between their …...

AbstractReadability assessment is a basic research task in the field of education. Traditional methods mainly employ machine learning classifiers with hundreds of linguistic features. Although the deep learning model has …...

AbstractReadability assessment is the task of evaluating the reading difficulty of a given piece of text. This article takes a closer look at contemporary NLP research on developing computational models …...

AbstractWe propose the novel adaptation of a pre-trained seq2seq model for readability assessment. We prove that a seq2seq model - T5 or BART - can be adapted to discern which …...