Innovative Approaches to Sentence Rephrasing in Natural Language Processing

Nishanth Shetty,H. G M,Pruthvi Surender Borkar,Anantha Murthy

Published 2025 in 2025 IEEE 2nd International Conference for Women in Computing (InCoWoCo)

ABSTRACT

Natural language processing (NLP) is the subject of the research articles in this research, which focuses on sentence simplification, rephrasing, and paraphrasing. These papers include a wide range of subjects, such as basic surveys of textual entailment and paraphrasing techniques, cognitive research on the reorganization of logical arguments, and computer models for producing alternative language expressions. Some publications investigate novel strategies, like using Wikipedia edit histories to train models for rephrasing sentences and breaking up complex statements into more manageable, semantically comparable ones. Others propose conceptual frameworks for paraphrase, showing how verbal structures and abstract representations might be integrated. When taken as a whole, these research demonstrate the linguistic, cognitive, and technical difficulties of rephrasing as well as its importance in boosting accessibility, advancing machine understanding, and facilitating more efficient human-computer interaction. This corpus of work advances machine translation, summarization, education, and conversational AI by providing valuable insights about the theoretical and practical elements of rephrasing.

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