Syntactic Simplification of English Sentences Using Parse Trees

In the realm of Natural Language Processing, the quest to simplify text is paramount, aiming to enhance accessibility and comprehension for all individuals. This study delves into the realm of English text simplification through a distinctive approach leveraging syntactic parse trees, known as syntactic simplification. Our methodology tackles two key aspects: the first involves streamlining compound sentences linked by coordinating conjunctions, while the second focuses on simplifying those connected by subordinating conjunctions, namely complex sentences. With our innovative approach, we achieved a notable BLEU score of 81.9, surpassing previous endeavors in the field. In an era marked by information saturation and diverse literacy levels, the need for clear and intelligible text is undeniable. This work not only sheds light on effective text simplification but also underscores its vital role in fostering universal understanding and communication.

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Publication Details

Published
2024-08-08
DOI
https://doi.org/10.1145/3675888.3676099
Primary Topic
Text Readability and Simplification
Type
article
Field-Weighted Citation Impact
0.00
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Syntactic Simplification of English Sentences Using Parse Trees

Shashidhar G Koolagudi, Keerthan Kumar T G, Adhith Adhith, Nitin Jayadeep et al.
Text Readability and Simplification
article

Syntactic Simplification of English Sentences Using Parse Trees

Shashidhar G Koolagudi, Keerthan Kumar T G, Adhith Adhith, Nitin Jayadeep, M Gokulraj
article en

Abstract

In the realm of Natural Language Processing, the quest to simplify text is paramount, aiming to enhance accessibility and comprehension for all individuals. This study delves into the realm of English text simplification through a distinctive approach leveraging syntactic parse trees, known as syntactic simplification. Our methodology tackles two key aspects: the first involves streamlining compound sentences linked by coordinating conjunctions, while the second focuses on simplifying those connected by subordinating conjunctions, namely complex sentences. With our innovative approach, we achieved a notable BLEU score of 81.9, surpassing previous endeavors in the field. In an era marked by information saturation and diverse literacy levels, the need for clear and intelligible text is undeniable. This work not only sheds light on effective text simplification but also underscores its vital role in fostering universal understanding and communication.

National Institute of Technology Karnataka (IN), Siddaganga Institute of Technology (IN)
Quality Education
Openalex Percentile: Top 83%
Text Readability and Simplification
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