Computational assessment of text readability: A survey of current and future research

K Collins-Thompson - ITL-International Journal of Applied …, 2014 - jbe-platform.com
Assessing text readability is a time-honored problem that has even more relevance in
today's information-rich world. This article provides background on how readability of texts is …

Applying natural language processing and hierarchical machine learning approaches to text difficulty classification

R Balyan, KS McCarthy, DS McNamara - International Journal of Artificial …, 2020 - Springer
For decades, educators have relied on readability metrics that tend to oversimplify
dimensions of text difficulty. This study examines the potential of applying advanced artificial …

CEFR-based sentence difficulty annotation and assessment

Y Arase, S Uchida, T Kajiwara - arXiv preprint arXiv:2210.11766, 2022 - arxiv.org
Controllable text simplification is a crucial assistive technique for language learning and
teaching. One of the primary factors hindering its advancement is the lack of a corpus …

A readable read: Automatic assessment of language learning materials based on linguistic complexity

I Pilán, S Vajjala, E Volodina - arXiv preprint arXiv:1603.08868, 2016 - arxiv.org
Corpora and web texts can become a rich language learning resource if we have a means
of assessing whether they are linguistically appropriate for learners at a given proficiency …

Identification and automatic extraction of good dictionary examples: the case (s) of GDEX

I Kosem, K Koppel, T Zingano Kuhn… - International Journal …, 2019 - academic.oup.com
Examples have always been an important part of a dictionary entry. As Rundell and Atkins
(2008: 454) point out,'you sometimes find that an entry is almost incomprehensible without …

Broad linguistic complexity analysis for Greek readability classification

S Chatzipanagiotidis, M Giagkou… - Proceedings of the 16th …, 2021 - aclanthology.org
This paper explores the linguistic complexity of Greek textbooks as a readability
classification task. We analyze textbook corpora for different school subjects and textbooks …

Hybrid models for sentence readability assessment

F Liu, JSY Lee - Proceedings of the 18th Workshop on Innovative …, 2023 - aclanthology.org
Automatic readability assessment (ARA) predicts how difficult it is for the reader to
understand a text. While ARA has traditionally been performed at the passage level, there …

Text as environment: A deep reinforcement learning text readability assessment model

H Mohammadi, SH Khasteh, T Firoozi… - arXiv preprint arXiv …, 2019 - arxiv.org
Evaluating the readability of a text can significantly facilitate the precise expression of
information in written form. The formulation of text readability assessment involves the …

When readability meets computational linguistics: a new paradigm in readability

T François - Revue française de linguistique appliquée, 2015 - cairn.info
Readability is an almost century-old field that aims to match readers with texts based on
reproducible tools. It has a long history, but it is remarkable that the methodology used to …

Readability-based sentence ranking for evaluating text simplification

S Vajjala, D Meurers - arXiv preprint arXiv:1603.06009, 2016 - arxiv.org
We propose a new method for evaluating the readability of simplified sentences through pair-
wise ranking. The validity of the method is established through in-corpus and cross-corpus …