Assessment of Machine Translation in Addressing Communication Barriers on the Perception of College Students
As tools powered by Artificial Intelligence (AI) continue to advance, more specifically large language models, as they continue to develop improvements in machine translation. 59.9% of the student respondents say they use AI for machine translation daily. Google Translate is still the majority of the AI tools used in machine translation by students with 22% followed by Chat-GPT with 21%. Amongst the three criteria asked in the survey, there is an ongoing pattern that a huge majority of the students are satisfied with the accuracy, adequacy, and fluency of the translated text. The findings illuminate a widespread reliance on AI tools, with Google Translate and ChatGPT leading the preferences. The study underscores the importance of these tools across diverse academic disciplines, from engineering to language training, revealing a nuanced landscape of AI integration in education. The satisfaction levels reported by the students regarding accuracy, adequacy, and fluency highlight the positive impact of AI in facilitating language-related tasks.
Authors
- J. M. Gamboa (ORCID: https://orcid.org/0000-0003-2864-7482)
- Mary Jane C. Samonte (ORCID: https://orcid.org/0000-0001-9867-8722)
- Raymond B. Sedilla
- Beibei Liu (ORCID: https://orcid.org/0009-0008-7253-979X)
- Rafael Joseph T. Beley
- Jules Mariano
Institutions
- Mapúa University (PH)
Publication Details
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1109/ccet62233.2024.10838104
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00