Machine translation method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a machine translation method and device, electronic equipment and a storage medium. IThe method comprises the steps of receiving to-be-translated statements;calling a machine translation model obtained by training, the machine translation model comprising a partitioning model and a translation model; then partitioning the to-be-translated statement according to the word vector of the to-be-translated word based on the partitioning model to obtain a to-be-translated block, and finally translating the to-be-translated statement based on the translationmodel and the to-be-translated block to obtain a translation result. In the present invention, the partitioning model is used for partitioning the to-be-translated statement according to the word vector to obtain the to-be-translated block; therefore, the to-be-translated statement can be divided into smaller to-be-translated blocks; and when the translation model translates based on the to-be-translated blocks, the translation results corresponding to the to-be-translated blocks are more accurate, and the translation results corresponding to the to-be-translated blocks are combined, so that the translation result of the whole to-be-translated statement is more accurate, and the accuracy of machine translation is improved.

Description

technical field [0001] The present invention relates to the field of language processing, in particular to a machine translation method and device, electronic equipment and a storage medium. Background technique [0002] Natural language processing is an important research direction of computer science artificial intelligence. It studies how to enable effective communication between humans and computers using natural language. It is a subject that integrates linguistics, computer science, and mathematics, among which neural machine translation is a very important task. [0003] In the current machine translation method, in order to improve the translation accuracy, the sentence to be translated is divided into multiple clauses according to the punctuation marks, and the translation is performed based on these clauses; however, this method still cannot translate accurately when the clauses are long. [0004] That is, the current machine translation methods still have defici...

AI Technical Summary

Problems solved by technology

[0003] In the current machine translation method, in order to improve the translation accuracy, the sentence to be translated is divided into multiple clauses according to the punctuation marks, and the translation is performed based on these clauses; however, this method still cannot translate accurately when the clauses are long

[0004] That is, current machine translation methods still have deficiencies

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