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.