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

Text Simplification improves the readability of sentences through several rewriting
transformations, such as lexical paraphrasing, deletion, and splitting. Current simplification …

There is an increasing interest in studying natural language and computer code together, as
large corpora of programming texts become readily available on the Internet. For example …

This paper presents the results and main findings of SemEval-2021 Task 1-Lexical
Complexity Prediction. We provided participants with an augmented version of the CompLex …

Lexical simplification (LS) aims at replacing complex words with simpler alternatives. LS
commonly consists of three main steps: complex word identification, substitute generation …

Lexical simplification (LS) aims to replace complex words in a given sentence with their
simpler alternatives of equivalent meaning. Recently unsupervised lexical simplification …

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 …

We propose a method to control the level of a sentence in a text simplification task. Text
simplification is a monolingual translation task translating a complex sentence into a simpler …

Lexical Simplification is the process of reducing the lexical complexity of a text by replacing
difficult words with easier to read (or understand) expressions while preserving the original …

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 …