Low Resource Neural Machine Translation

Low-resource neural machine translation is an important task in the field of natural language processing, focusing on achieving efficient automatic translation between language pairs with scarce data. This task aims to improve translation quality and system stability by optimizing algorithms and leveraging limited training data, thereby expanding the application scope of machine translation and promoting multilingual information exchange and understanding.