Similarity-based intelligent offline translation machine

Abstract

The invention provides a similarity-based intelligent offline translation machine and particularly relates to similarity-based intelligent offline translation machine for translating Chinese into English. The similarity-based intelligent offline translation machine has the advantages that by performing reasonable dividing and similarity calculation on Chinese sentences and setting English generating rules, the English satisfying requirements can be obtained, and an accurate translation result can be obtained without a network database and only by processing the to-be-translated Chinese sentences and the set English translation rules to a certain degree.

Description

technical field [0001] The invention belongs to the field of automatic translation, and in particular relates to an intelligent offline translation machine based on similarity. Background technique [0002] With the development of smart devices, smart operating systems are becoming more and more diverse, such as Apple's IOS, Google's Android, Firefox's Firefox OS, etc., and smart devices integrated with these systems have also begun to be used more and more. Many users use these devices for daily activities such as gaming, socializing, reading and so on. [0003] As the society becomes more and more open, people now have more opportunities to read content that does not belong to their native language. Whether it is a hobby of reading, or because of professional study, work needs, etc., they often come across a lot of foreign language materials. At present, the most common method of querying foreign language vocabulary on smart devices is for the user to manually open the fo...

AI Technical Summary

Problems solved by technology

[0003] As the society becomes more and more open, people now have more opportunities to read content that does not belong to their native language. Whether it is a hobby of reading, or because of professional study, work needs, etc., they often come across a lot of foreign language materials. At present, the most common method of querying foreign language vocabulary on smart devices is that the user manually opens the foreign language query application and manually enters the word query. Some applications that do a little better, such as Youdao Dictionary

There are three main types of popular automatic translation methods at present. The first type is based on words, which use words as the basic unit of translation, regardless of context information and human linguistic knowledge. When translating, first find the target corresponding to each source language word language words, then insert and delete target language words, adjust their order, and combine them into target language sentences. The feature is that the translation is fast, but the accuracy is poor. The second type is phrase-based translation, and the translation granularity extends from words to Phrases, which better solve the problem of local context dependence, greatly improve the fluency and accuracy of translation. The third type is syntax-based translation, which introduces syntactic structure information into the translation process, but needs to introduce grammatical structure knowledge, and needs to be translated before translation. Use syntactic knowledge to adjust the word order of the source language, and use syntactic knowledge to reorder words after translation

[0004] At present, in the existing automatic machine translation, the third type of translation is the trend. However, in order to obtain a better translation effect, it is best to obtain the grammatical structure through online networking. In addition, the translation speed is relatively slow

Although the Internet has been widely used, however, with the changes of the environment and the emergence of various temporary conditions, our smart devices cannot keep online all the time. Therefore, a similarity-based smart The offline translator can get more accurate translation results even when it is disconnected from the network as much as possible

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