Multilingual Learning

Multilingual Learning refers to methods and systems that enable computers to understand, interpret, and generate multiple languages. Instead of training separate models for each language, multilingual learning trains a single model on data from various languages simultaneously. This approach helps the system recognize common patterns across languages, improves translation and understanding for less-resourced languages, and reduces the need for extensive data. It's a way to make language technology more inclusive and efficient, supporting communication and information access across diverse linguistic communities.