Text Simplification Aided with Text Summarization

Abstract

Effective text simplification strategies are becoming more and more necessary in the constantly changing field of Natural Language Processing(NLP), especially to help audiences from a variety of backgrounds understand each other better. In order to improve context awareness in text simplification, this paper investigates the integra tion of text summarization as a critical tool. Through the utilization of sophisticated algorithms for text summarization and simplification, our goal is to enhance the read ability and accessibility of intricate textual material. There are several steps in the propossed procedure. First, the most important information from the original text is extracted, capturing the essence of the content, using advanced text summarization techniques. The resulting summary then acts as the basis for the process of simpli fying the text. The simplified text is designed to be easier to read while maintaining the main ideas through a thorough examination of vocabulary, linguistic structures, and context. Our findings highlight the mutually beneficial relationship between text summarization and simplification, demonstrating how the former serves as a mech anism of guidance for the latter. Through the use of context-aware summarization, our approach guarantees the preservation of important textual elements and relation ships, resulting in a condensed version that retains the context and intended meaning. This paper introduces a new task of document-level text simplification where we first summarize a document, then concatenating the summarized text together with the orginal document and finally, we simplified the conatenated document in order to improve the simplification of a document by conserving the context of the original document. Therefore, the combination of these two methods improves textual con tent’s overall clarity and creates new opportunities for future study at the nexus of accessibility and natural language processing