Pretrained Multilingual Language Models

Pre-trained multilingual models are a significant advancement in the field of natural language processing, designed to build universal language representations capable of understanding and generating multiple languages through large-scale unsupervised learning. These models learn rich linguistic structures and semantic information by being pre-trained on vast amounts of multilingual text data, thereby achieving high performance in various downstream tasks. They not only enhance the efficiency of cross-lingual transfer learning but also promote the processing capabilities of low-resource languages, with broad application value including machine translation, sentiment analysis, text classification, and more.