Low Resource NMT

Low-resource neural machine translation (NMT) is an important research direction in the field of natural language processing, aiming to solve the problem of high-quality translation when the data volume of the source language or target language is limited. By utilizing techniques such as transfer learning and multi-task learning, low-resource NMT can effectively improve the translation performance of rare language pairs, promoting cross-lingual information exchange and understanding, and has significant application value.