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 …

The occurrence of unknown words in texts significantly hinders reading comprehension. To
improve accessibility for specific target populations, computational modeling has been …

Objectives To assess the quality of simplified radiology reports generated with the large
language model (LLM) ChatGPT and to discuss challenges and chances of ChatGPT-like …

Since the late 1990s, automatic text simplification (ATS) was promoted as a natural
language processing (NLP) task with great potential to make texts more accessible to …

We report the findings of the 2024 Multilingual Lexical Simplification Pipeline shared task.
We released a new dataset comprising 5,927 instances of lexical complexity prediction and …

Recent advancements in high-quality, large-scale English resources have pushed the
frontier of English Automatic Text Simplification (ATS) research. However, less work has …

Background Readability metrics provide us with an objective and efficient way to assess the
quality of educational texts. We can use the readability measures for finding assessment …

Text presented in augmented reality provides in-situ, real-time information for users.
However, this content can be challenging to apprehend quickly when engaging in …

Lexical Simplification (LS) is the task of substituting complex words within a sentence for
simpler alternatives while maintaining the sentence's original meaning. LS is the lexical …

People with intellectual, language and learning disabilities face accessibility barriers when
reading texts with complex words. Following accessibility guidelines, complex words can be …