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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 6, 2024.
Abstract: These days different online media platforms such as social media provide their users the possibility to exchange and engage in different languages. It is not surprising anymore to see comments from different languages in posts published by international celebrities and figures. In this era, understanding cross-language content and multilingualism in natural language processing (NLP) are crucial, and huge amount of efforts have been dedicated on leverage existing technologies in NLP to tackle this challenging research problem, specially with advances in language analysis and the introduction of large language models. In this survey, we provide a comprehensive overview of the existing literature focusing on the evolution of language models with a focus on multilingual tasks and then we identify potential opportunities for further research in this domain.
Amir Reza Jafari, Behnam Heidary, Reza Farahbakhsh, Mostafa Salehi and Noel Crespi, “Language Models for Multi-Lingual Tasks - A Survey” International Journal of Advanced Computer Science and Applications(IJACSA), 15(6), 2024. http://dx.doi.org/10.14569/IJACSA.2024.01506146
@article{Jafari2024,
title = {Language Models for Multi-Lingual Tasks - A Survey},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01506146},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01506146},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {6},
author = {Amir Reza Jafari and Behnam Heidary and Reza Farahbakhsh and Mostafa Salehi and Noel Crespi}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.