Investigating the Role of Web-Based Translation Software in Improving L2 Learners’ Language Skills

Abstract

This study investigates the role of web-based translation software in improving second language (L2) learners’ language skills. With the rapid advancement of technology, translation tools such as machine translation and online applications have become widely used in language learning contexts. The research aims to examine the impact of these tools on vocabulary acquisition, reading comprehension, writing proficiency, and listening and pronunciation skills among L2 learners. A quantitative research design was employed, using a structured questionnaire distributed to 120 students from the English Department at Ghazi University, Dera Ghazi Khan. The collected data were analyzed using statistical methods through SPSS.The findings reveal that a significant majority of students hold positive perceptions regarding the use of web-based translation software. The results indicate that these tools substantially enhance vocabulary development, improve understanding of word meanings, and increase learners’ confidence in language use. Additionally, translation software was found to support reading comprehension by helping students understand complex texts and engage with diverse materials. In terms of writing, learners reported improvements in grammar, vocabulary usage, and overall expression. Furthermore, the study highlights a positive influence on listening skills and pronunciation accuracy, although some challenges and limitations, such as overreliance and occasional inaccuracies, were noted.Overall, the study concludes that web-based translation software serves as an effective supplementary tool in L2 learning.