Information processing method and device, computer equipment and storage medium

Abstract

The invention relates to an information processing method and device, computer equipment and a storage medium. The method comprises the following steps: employing an encoder of a machine translation model to encode a to-be-translated word and sentence, and obtaining encoding information; storing the global attention parameter; utilizing a decoder of the machine translation model to determine global attention of the decoder according to the global attention parameter in a decoding cycle of the encoding information of each word in the words and phrases to be translated; and obtaining a prediction result corresponding to a word to be predicted in the decoding loop according to the global attention. Because the global attention parameter required to be used during decoding is stored, the stored global attention parameter can be directly called when the decoder needs to determine the global attention by using the global attention parameter, and the global attention parameter does not need to be obtained by processing the coding information again, so that the calculation amount in the decoding process is reduced. Therefore, the reasoning efficiency of the machine translation model is improved.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular to an information processing method, device, computer equipment, and storage medium. Background technique [0002] The machine translation model is composed of an encoder and a decoder. The encoder is used to encode the input sentence and input to the decoder. The decoder is used to perform the next step from front to back based on the output of the encoder and the previously translated results. inference or prediction. In related technologies, the machine translation model needs to process a large amount of data during work, which leads to problems such as low efficiency of reasoning or prediction by using the machine translation model. Contents of the invention [0003] According to a first aspect of an embodiment of the present disclosure, an information processing method is provided, including: [0004] Encoding the words and sentences to be translated by usin...

AI Technical Summary

Problems solved by technology

In related technologies, the machine translation model needs to process a large amount of data during work, which leads to problems such as low efficiency of using the machine translation model for reasoning or prediction

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