Machine Translation

Machine translation is an important task in natural language processing, aiming to convert sentences from a source language into equivalent expressions in a target language. In recent years, neural network models based on the encoder-decoder attention mechanism, such as BERT, have made significant progress, greatly improving translation quality. Common evaluation metrics include BLEU, METEOR, and NIST, while the WMT series datasets are important resources widely used for benchmark testing.