International Journal of Innovative Research in Computer and Communication Engineering

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TITLE Smart Lingua: Multi Lingual Conversion System
ABSTRACT Smart Lingua is a multilingual conversion system that helps overcome language barriers and improve communication. It allows users to convert speech, text, and documents into different languages using NLP and speech recognition. The system supports features like speech-to-text, text-to-speech, speech translation, and document conversion. Users can speak or upload files to get translations or audio output. It is built using Streamlit with an easy-to-use interface. Smart Lingua provides real-time translation while maintaining meaning and context. It uses APIs for accurate translation and pronunciation. It also supports multiple languages, making it suitable for global users. The system is designed to be user-friendly and accessible for beginners.This system is useful for students, professionals, and travelers, making communication faster, easier, and more effective.
AUTHOR B.DHANALAKSHMI, G SAI MANIKANTA, V RAMA KRISHNA, M SWATHI, Y LAVANYA, G GNANESHWAR Assistant Professor, Department of CSE (Data Science), NSRIT, Vishakhapatnam, India. Student of Department of CSE (Data Science), NSRIT, Vishakhapatnam, India
VOLUME 182
DOI DOI: 10.15680/IJIRCCE. 2026.1403051
PDF pdf/51_Smart Lingua Multi Lingual Conversion System.pdf
KEYWORDS
References [1] Daniel Jurafsky and James H. Martin, Speech and Language Processing, Pearson Education, 3rd Edition, 2020.
[2] Jacob Devlin, Ming-Wei Chang, Kenton Lee and Kristina Toutanova, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” Proceedings of NAACL, 2019.
[3] Ashish Vaswani et al., “Attention Is All You Need,” Proceedings of the Neural Information Processing Systems Conference, 2017.
[4] Google Translate Documentation, Google Developers, Available: https://translate.google.com
[5] Streamlit Documentation, Available: https://streamlit.io
[6] Speech Recognition Library Documentation, Available: https://pypi.org/project/SpeechRecognition/
[7] gTTS Documentation, Available: https://pypi.org/project/gTTS/
[8] PyMuPDF Documentation, Available: https://pymupdf.readthedocs.io
[9] python-docx Documentation, Available: https://python-docx.readthedocs.io
[10] Natural Language Processing and Speech Translation Techniques, IEEE Research Papers and Journals.
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