Natural Language Transduction

Sequence transduction in natural language processing is a subtask that focuses on converting one type of sequential structure into another to achieve semantic or formal transformations. The goal of this task is to enable models to learn the mapping relationship between input and output sequences, thereby improving the accuracy of language understanding and generation. Its application value is extensive, including but not limited to machine translation, speech recognition, text summarization, and grammar correction, effectively promoting human-computer interaction and multilingual information exchange.