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Transfer Learning for Multi-lingual Tasks -- a Survey

2021-08-28 20:29:43
Amir Reza Jafari, Behnam Heidary, Reza Farahbakhsh, Mostafa Salehi, Mahdi Jalili
arXiv_CL
     
Abstract

These days different platforms such as social media provide their clients from different backgrounds and languages the possibility to connect and exchange information. It is not surprising anymore to see comments from different languages in posts published by international celebrities or data providers. In this era, understanding cross languages content and multilingualism in natural language processing (NLP) are hot topics, and multiple efforts have tried to leverage existing technologies in NLP to tackle this challenging research problem. In this survey, we provide a comprehensive overview of the existing literature with a focus on transfer learning techniques in multilingual tasks. We also identify potential opportunities for further research in this domain.

Abstract (translated)

URL

https://arxiv.org/abs/2110.02052

PDF

https://arxiv.org/pdf/2110.02052.pdf

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