Objective Plain language in medicine has long been advocated as a way to improve patient
understanding and engagement. As the field of Natural Language Processing has …

Training learnable metrics using modern language models has recently emerged as a
promising method for the automatic evaluation of machine translation. However, existing …

Powerful generative models have led to recent progress in question generation (QG).
However, it is difficult to measure advances in QG research since there are no standardized …

This paper outlines the ethical implications of text simplification within the framework of
assistive systems. We argue that a distinction should be made between the technologies …

Randomly masking text spans in ordinary texts in the pre-training stage hardly allows
models to acquire the ability to generate simple texts. It can hurt the performance of pre …

Conversational interfaces powered by Large Language Models (LLMs) have recently
become a popular way to obtain feedback during document editing. However, standard chat …

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 …

Text simplification is an intralingual translation task in which documents, or sentences of a
complex source text are simplified for a target audience. The success of automatic text …

We introduce TS-ANNO, an open-source web application for manual creation and for
evaluation of parallel corpora for text simplification. TS-ANNO can be used for i) sentence …

Evaluating automatic text simplification (ATS) systems is a difficult task that is either
performed by automatic metrics or user-based evaluations. However, from a linguistic point …