Avaliação de grandes modelos de linguagem na simplificação de texto de decisões jurídicas utilizando pontuações de legibilidade como alvo

Abstract

The complexity of language used in legal documents, such as technical terms and legal jargon, hinders access to and understanding of the Brazilian justice system for laypeo ple. This work presents text simplification approaches and assesses the state-of-the-art by considering large language models with readability scoring as a parameter for simplification. Due to limited resources for text simplification in Portuguese, especially within the legal domain, the application of a methodology based on text modification using readability scoring enables experiments that leverage the knowledge acquired during the training of these large language models, while also allowing for automatic evaluation without the need for labeled data. This study evaluates the simplification capabilities of large language models by using eleven models as case studies. Additionally, a real corpus was developed, based on legal rulings from the Brazilian justice system.