MACHINE TRANSLATION IN ENHANCING ENGLISH VOCABULARY MASTERY FOR UNIVERSITY STUDENTS
Technology has greatly improved and made learning English easier in this day and age. Machine translation (MT) is the use of computers to translate documents from one human language into another. This research aims to examine the machine translation in enhancing English vocabulary mastery for University Students. The methodology used in this study is descriptive qualitative. Vocabulary comprehension is considered to be a difficult subject, although the majority of pupils find it difficult. Due to the complexity of word forms, word choices, and various meanings, learning to master English vocabulary can be difficult. Google Translate is one program that employs multilingual translation processes using online machine translation (MT) methodologies. The results showed that vocabulary learning strategies should be applied in the classroom to boost university students' vocabulary expansion. To increase one's command of the target language and advance to competency levels, one must learn new vocabulary. Therefore, researchers are always looking for the best approach to teach vocabulary by using machine translation.
Machine Learning, English Vocabulary Mastery, University Students