Transfer Learning for Multi-lingual Tasks -- a Survey
It addresses the challenge of cross-language content understanding for NLP researchers and practitioners, but is incremental as a survey paper.
This survey provides a comprehensive overview of transfer learning techniques for multilingual tasks in natural language processing, identifying potential research opportunities in the field.
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.