Advancing Multilingual NLP: Techniques and Challenges in Multilingual Text Understanding
Abstract & Details
Research Area
Computer Engineering
Keywords
mBERT
XLM-R
mBART
Multilingual communication
Natural Language Processing (NLP)
Sentiment analysis
Intent recognition
Text classification
Multilingual text understanding
Self-supervised learning
Transfer learning
Multilingual models.
Abstract
Recently, the increasing demand for multilingual communication around the world has placed more emphasis on using Natural Language Processing (NLP) to solve challenging tasks like sentiment analysis, intent recognition, and text classification within different linguistic settings. This paper discusses the most up-to-date work in multilingual text understanding with special focus on self-supervised learning, transfer learning, and the use of multilingual models, such as mBERT, XLM-R, and mBART. Thirdly, the research explores specialized architectures for multilingual sentiment analysis and abusive content detection with a focus on the ability and efficiency of such approaches in resource-poor and data-scarce settings. The experimentation is applied through concrete instantiations in conversational artificial intelligence, e-commerce, and social media analytics frameworks, based on detailed visualizations and empirical results. The paper ends with future directions in hybrid approaches, efficient model architectures, and innovative data augmentation strategies in the pursuit of advanced multilingual NLP.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Yuvraj Nama | Poornima Institute of Engineering and Technology, Jaipur |
| 2 | Punit Kumar | Poornima Institute of Engineering and Technology, Jaipur |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Nama, Yuvraj & Kumar, Punit (2024). Advancing Multilingual NLP: Techniques and Challenges in Multilingual Text Understanding. International Journal of Advance Research and Innovative Ideas In Education, 10(6), 1134-1140.
MLA Style
Nama, Yuvraj, and Punit Kumar. "Advancing Multilingual NLP: Techniques and Challenges in Multilingual Text Understanding." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, 2024, pp. 1134-1140.
IEEE Style
Yuvraj Nama and Punit Kumar, "Advancing Multilingual NLP: Techniques and Challenges in Multilingual Text Understanding," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 6, pp. 1134-1140, 2024.
Vancouver Style
Nama Yuvraj, Kumar Punit. Advancing Multilingual NLP: Techniques and Challenges in Multilingual Text Understanding. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(6):1134-1140.
Harvard Style
Nama, Yuvraj & Kumar, Punit (2024) 'Advancing Multilingual NLP: Techniques and Challenges in Multilingual Text Understanding', International Journal of Advance Research and Innovative Ideas In Education, 10(6), pp. 1134-1140.
Chicago Style
Nama, Yuvraj and Punit Kumar. "Advancing Multilingual NLP: Techniques and Challenges in Multilingual Text Understanding." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1134-1140.
Turabian Style
Nama, Yuvraj and Punit Kumar. "Advancing Multilingual NLP: Techniques and Challenges in Multilingual Text Understanding." International Journal of Advance Research and Innovative Ideas In Education 10, no. 6 (2024): 1134-1140.
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