Method for converting between program languages based on ai

Abstract

The invention discloses a method for converting program languages based on ai, which mainly comprises the following steps: 1, a data crawler learns basic contents of languages according to several specific language learning websites to obtain basic training data, 2, after the data is crawled, the data is preprocessed and trained to obtain two basic program production models; 3, training a program long text segmentation model according to a program rule and nlp; 4, performing segmentation processing on the original code text by using the program text segmentation model; 5, performing logic extraction by using a from model after segmentation to obtain a program logic standard file; and 5, performing code file conversion according to the code logic standard file and the program production of the to model. According to the method, the problem of rule conversion among different languages is solved, other languages can be expanded, and trivial and repeated development is reduced; a large amount of manpower is saved to develop the converter, and conversion between languages can be carried out according to configuration, so that the purposes of high efficiency, high expansion and high accuracy are achieved.

Description

technical field [0001] The invention relates to the field of deep learning and machine learning, in particular to a method for converting between programming languages ​​based on AI. Background technique [0002] In the stage of rapid development from assembly-low-level-high-level programming language processing, more and more languages ​​are used in various enterprises, but some enterprise information systems are developed using relatively old languages, while enterprise informatization With the development of business, some enterprises continue to expand in scale and have the need to upgrade or restructure cross-language information systems, but most of them use a lot of manpower to carry out system transformation. Also some have also been retrofitted using converters / translators. [0003] Many enterprises use manpower to carry out cross-language transformation of information systems, which consumes a lot of manpower and financial resources as well as construction time. S...

AI Technical Summary

Problems solved by technology

[0003] Many enterprises use manpower to carry out cross-language transformation of information systems, which consumes a lot of manpower and financial resources as well as construction time. Some enterprises also use converters to upgrade, but the converters require people to write, and it limits the language targeting at both ends. It is strong and not easy to expand, and needs to be rewritten when changing languages

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