International Journal of Computer Techniques Volume 12 Issue 3 | Interactive Multilingual Learning System using Real-Time Natural Language Processing
Interactive Multilingual Learning System using Real-Time Natural Language Processing
International Journal of Computer Techniques – Volume 12 Issue 3, May – June 2025
Abstract
The **Interactive Multilingual Learning System (IMLS)** utilizes **Real-Time Natural Language Processing (NLP)** to create a **seamless educational experience for diverse learners**. By incorporating **speech-to-text, machine translation, and contextual analysis**, the system effectively **bridges language gaps, enhancing knowledge accessibility and inclusivity**.
Keywords
Multilingual Learning, Natural Language Processing, Real-time Translation, Adaptive Learning, Educational Technology, Speech-to-Text, Machine Translation.
Conclusion
The **IMLS platform**, leveraging **real-time NLP and interactive learning**, has proven effective in **enhancing language acquisition and engagement**. Future enhancements will focus on **expanding multilingual support, gamified learning models, and AI-driven personalized feedback mechanisms**.
References
- Sihotang, R. et al. (2017). “Vocabulary Learning Strategies Applied by The Students of English Education Study Program.” Journal of English Education and Teaching.
- Mehta, S. (2022). “ML for Real-time Multilingual Communication Systems.” International Journal of Advanced and Innovative Research.
- Orosoo, M. et al. (2024). “Enhancing Natural Language Processing in Multilingual Chatbots for Cross-Cultural Communication.” IEEE Conference Proceedings.
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