Text simplification refers to the transformation of a specific source text into a target text
aiming to increase understanding and readability for one or more specific audiences. This …

Punctuation Restoration is an essential post-processing task of text generation methods,
such as Speech-to-Text (STT) and Machine Translation (MT). Usually, the generation …

In September 2020, the first edition of the ALexS workshop (Task on Lexical Analysis at
SEPLN) was held in Málaga, Spain as part of the second edition of IberLEF (Iberian …

Nowadays, parents attach importance to their children's primary education but often lack
time and correct pedagogical principles to accompany their children's learning. Besides …

This study proposes a hybrid personalized text simplification framework leveraging the deep
learning-based Transformer model to generate simplified expository texts by addressing all …

Text simplification reduces the complexity of text while preserving essential information, thus
making it more accessible to a broad range of readers, including individuals with cognitive …

The complexity of scientific texts often creates a barrier to understanding for non-specialist
readers. This barrier inhibits the democratization of knowledge and prevents the wider …

The text simplification approach simplifies the linguistic complexity of a particular language
so that the grammar and structure of a language are greatly simplified to read and …

As social media platforms have gained huge momentum in recent years, the amount of
information generated from the social media sites is growing exponentially and gives the …

This paper explores a general approach to paraphrase generation using a pre-trained
seq2seq model fine-tuned using a back-translated anatomy and physiology textbook …