Language Models for Multi-Lingual Tasks - A Survey

  • Amir Reza Jafari
  • , Behnam Heidary
  • , Reza Farahbakhsh
  • , Mostafa Salehi
  • , Noel Crespi

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)1458-1472
Number of pages15
JournalInternational Journal of Advanced Computer Science and Applications
Volume15
Issue number6
DOIs
Publication statusPublished - 1 Jan 2024

Keywords

  • BERT
  • LLMs
  • Language models
  • NLP
  • low resource languages
  • multilingual task
  • transfer learning

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