Text generation method and device, computer equipment and storage medium

Abstract

The invention provides a text generation method and device, computer equipment and a storage medium, and relates to a natural language processing and machine learning technology in artificial intelligence, and the method comprises the steps: calculating the position vector of each word according to the structure of a tree structure source text sequence; inputting the position vector correspondingto each word into a machine translation model; performing semantic encoding to obtain a semantic vector corresponding to each word; generating a source end semantic vector corresponding to each word according to the position vector and the semantic vector; performing semantic decoding to obtain a target word corresponding to each word; and determining a combination sequence of the target words andsplicing the target words to generate a target text. The tree structure source text sequence can reflect the syntactic structure of the source text, the calculated position vector can reflect the syntactic structure of the source text, the influence of the syntactic structure of the source text on the word semantics is considered in the process of determining the word semantics, and the accuracyof the translation result is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, and more specifically, relates to a text generation method, device, computer equipment and storage medium. Background technique [0002] With the continuous development of machine learning technology, machine translation technology has gradually emerged. Machine translation technology is a branch of computational linguistics. The current machine translation technology is mainly based on neural network machine translation technology, which mainly uses artificial intelligence technology to convert one natural language into another natural language. In the current machine translation technology, the transformer based on the self-attention model has become the mainstream architecture choice for neural network machine translation. [0003] However, the current neural network machine translation technology has the problem of inaccurate translation results. Contents of the invention [000...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the present invention provides a text generation method, device, computer equipment and storage medium to overcome the problem of inaccurate translation results in the prior art

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