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Long sentences have been a persistent issue in written communication for manyyears since they make it challenging for readers to grasp the main points orfollow the initial intention of the writer. This survey, conducted using thePRISMA guidelines, systematically reviews two main strategies for addressingthe issue of long sentences: a) sentence compression and b) sentence splitting.An increased trend of interest in this area has been observed since 2005, withsignificant growth after 2017. Current research is dominated by supervisedapproaches for both sentence compression and splitting. Yet, there is aconsiderable gap in weakly and self-supervised techniques, suggesting anopportunity for further research, especially in domains with limited data. Inthis survey, we categorize and group the most representative methods into acomprehensive taxonomy. We also conduct a comparative evaluation analysis ofthese methods on common sentence compression and splitting datasets. Finally,we discuss the challenges and limitations of current methods, providingvaluable insights for future research directions. This survey is meant to serveas a comprehensive resource for addressing the complexities of long sentences.We aim to enable researchers to make further advancements in the field untillong sentences are no longer a barrier to effective communication.

From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences