This paper focuses on automatically assessing language proficiency levels according to
linguistic complexity in learner English. We implement a supervised learning approach as …

We present the results of our investigations aiming at identifying the most informative
linguistic complexity features for classifying language learning levels in three different …

Medical texts are notoriously challenging to read. Properly measuring their readability is the
first step towards making them more accessible. In this paper, we present a systematic study …

Mastering a foreign language like English can bring better opportunities. In this context,
although multiword expressions (MWE) are associated with proficiency, they are usually …

This report describes the development of efficient second language (L2) writing assessment
tasks designed specifically for low‐proficiency learners of English to be included in the …

The automatic evaluation of text-based assessment items, such as short answers or essays,
is an open and important research challenge. In this paper, we compare several features for …

Users of online collaborative social networks (eg, StackExchange, Yahoo! Answers, and
Yask, among others) are distributed across a continuous range of expertise, ranging from …

We study the problem of controlling the difficulty level of text generated by Large Language
Models (LLMs) for contexts where end-users are not fully proficient, such as language …

Domain experts across engineering, healthcare, and education follow strict standards for
producing quality content such as technical manuals, medication instructions, and children's …

This paper brings together approaches from the fields of NLP and psychometric
measurement to address the problem of predicting examinee proficiency from responses to …