Web Application to Help Learn English Using Medical Bilingual Corpus - Updates to Improve Learners’ Writing Skills -

Abstract

In the field of medical education, a deep understanding of domain-specific expressions is essential for reading and writing academic papers in English. To address this challenge, we are developing an English learning support web application called MEESUS (Medical English Education SUpport System), which utilizes a bilingual corpus of medical texts. This paper presents two enhancements to the system designed to support learners’ academic writing skills. First, we introduced a writing support function that suggests similar sentences based on user-generated English input, thereby assisting in composing more academic expressions. Second, we enhanced the accuracy of grammar-based categorization by integrating a BERT-based grammatical detection algorithm that leverages contextual understanding. These improvements aim to provide a more effective and domain-sensitive writing support experience for users engaging with medical English materials.