Word Attribute Transfer

Word Attribute Transfer is a subtask in natural language processing that focuses on changing specific attributes of words, such as gender, age, or sentiment, while maintaining their semantic and contextual consistency. The goal of this task is to precisely modify the specified attributes without altering the core meaning of the sentence, thereby meeting the needs for diverse content generation. This technology holds significant value in applications such as text editing, personalized recommendations, and language understanding.