Chinese Text Simplification

Chinese text simplification aims to make complex texts more accessible by rewriting sentences to improve readability. Recent research focuses on overcoming challenges like the scarcity of labeled training data and the frequent use of idioms, employing techniques such as data augmentation, multi-task learning, and models that specifically address idiomatic expressions. The creation of larger, multi-reference datasets is crucial for advancing the field and enabling more robust evaluation of simplification methods, ultimately improving accessibility to information for a wider audience.