Readability assessment is the task of evaluating the reading difficulty of a given piece of text.
Although research on computational approaches to readability assessment is now two …

Automatic Readability Assessment (ARA), the task of assigning a reading level to a text, is
traditionally treated as a classification problem in NLP research. In this paper, we propose …

We present a new state-of-the-art sentence-wise readability assessment model for German
L2 readers. We build a linguistically broadly informed machine learning model and compare …

Abstract Der Beitrag stellt das Forschungsprojekt DAKODA vor, dessen Ziel es ist, eine
breite Lernerkorpus-Datenbasis zu erstellen und mit sprachtechnologischen Verfahren …

We investigate the linguistic complexity of oral classroom interactions in late primary and
early secondary school across German school types. The goal is to explore whether …

Reliable methods for automatic readability assessment have the potential to impact a variety
of fields, ranging from machine translation to self-informed learning. Recently, large …

In recent years, the main focus of research on automatic readability assessment (ARA) has
shifted towards using expensive deep learning-based methods with the primary goal of …

Text readability assessment has gained significant attention from researchers in various
domains. However, the lack of exploration into corpus compatibility poses a challenge as …

This paper discusses our effort to build an automatic Portuguese readability assessment
system aimed at Portuguese language learners. We demonstrate that using linguistic …

Given the lack of computational tools available for assessing second language (L2)
production in Korean, this study introduces a novel automated tool called the Korean …