Poetry generation

A method for poetry generation, the method comprising:

• receiving generation information indicative of a theme for the poetry generation;
• and
• determining, by processing circuitry, at least a candidate piece of poetry corresponding to the generation information according to an autoregressive language model, the autoregressive language model being configured to generate elements in the candidate piece of poetry in an autoregressive manner with a plurality of regression rounds, an element in the elements being a character or a word, wherein:
• the autoregressive language model is configured to generate poetry in a plurality of formats, the autoregressive language model including a plurality of processing layers connected sequentially,
• a processing layer in the plurality of processing layers is configured to determine attention levels for potential elements in a potential element list according to generated elements prior to a current regression round, and predict one or more additional elements for the current regression round using a neural network according to the attention levels.