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Language Models for Multi-Lingual Tasks - A Survey

  • Amir Reza Jafari
  • , Behnam Heidary
  • , Reza Farahbakhsh
  • , Mostafa Salehi
  • , Noel Crespi
  • Telecom Sudparis
  • Faculty of New Sciences and Technology
  • University of Tehran

Résultats de recherche: Contribution à un journal › Article › Revue par des pairs

4 Citations (Scopus)

Résumé

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.

langue originaleAnglais
Pages (de - à)1458-1472
Nombre de pages15
journalInternational Journal of Advanced Computer Science and Applications
Volume15
Numéro de publication6
Les DOIs
étatPublié - 1 janv. 2024

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