Exploring the Psychological Impact of Machine Translation on Improving English Vocabulary Proficiency among University Students

Abstract

In the present era, technology has significantly advanced, making the process of learning English more accessible. Machine Translation (MT) refers to the use of computers to translate documents from one human language to another. The purpose of this study is to investigate how Machine Translation can enhance English vocabulary mastery among university students. The research methodology employed in this study is descriptive qualitative. Vocabulary comprehension is often considered challenging, and many students struggle with it. Learning to master English vocabulary can be difficult due to the complexity of word forms, word choices, and multiple meanings. Google Translate is one example of a program that utilizes multilingual translation processes through online machine translation (MT) methods. The findings indicate that incorporating vocabulary learning strategies in the classroom can enhance university students' vocabulary expansion. Acquiring new vocabulary is crucial for improving language proficiency and advancing to higher competency levels. As a result, researchers are continually exploring the most effective approaches for teaching vocabulary using machine translation.