Mobile equipment machine translation system based on hybrid strategy

Abstract

The invention discloses a mobile device machine translation system based on a hybrid strategy. The system comprises a translation information acquisition module, a translation keyword grouping module,a machine translation engine, a neural machine translation engine, an interactive machine translation module, a word sense disambiguation module and a self-updating learning module. According to theinvention, the machine translation system is integrated into the mobile device, so that the mobile device can obtain translation information more quickly and conveniently; meanwhile, result translations translated by a machine translation system based on rules, statistics and a neural network are fused through an interactive machine translation module; the translation result of the source statement is more accurate; the machine translation system based on rules, statistics and the neural network is arranged in the mobile device, and translation does not need to be carried out by means of the cloud in the actual translation operation process; meanwhile, network connection is not needed in the whole translation process in the mobile device, and the defect that a traditional translation system needs to be networked to carry out translation by means of cloud resources is overcome.

Description

technical field [0001] The invention relates to the technical field of machine translation systems based on mobile devices, in particular to a machine translation system for mobile devices based on mixed strategies. Background technique [0002] The early work of machine translation research was mainly based on rule-based methods, and the progress was relatively slow. With the emergence of word-based translation models, the era of statistical machine translation was opened. Finally, as phrase and syntax models were successively adopted It is proposed that translation quality has been significantly improved, leading to the rise of neural network machine translation methods, and a mobile device is a pocket-sized computing device, usually with a display screen, touch input or a small keyboard, through which it can be translated anytime, anywhere Access to various information, such as laptops and smart phones, so it is necessary to integrate machine translation systems on mobile...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a mobile device machine translation system based on a hybrid strategy, which can effectively solve the problem that the existing rule-based, statistical and neural network-based machine translation systems require a large amount of computing resources and can only be deployed in the cloud. Machine translation is realized by calling the translation interface in the cloud, but this will have the disadvantages of networking restrictions and privacy leakage, which will hinder the promotion and use of mobile devices and limit the use of mobile devices.

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