Mark retrieval translation system and method

Abstract

The invention discloses mark retrieval translation system and method. By selecting a continuous word string in file contents to generate mark words and recording the generated mark words to new word information, all recorded mark words are respectively compared with translation words according to the new word information. When the recorded mark words meet the translation words, a corresponding translation specification is loaded for displaying, thereby achieving the technical effect of improving translation convenience.

Description

Technical field [0001] The present invention relates to a translation system and method, in particular to a system and method for translation query by marking and searching vocabulary in file content. Background technique [0002] In recent years, with the popularization of computers and the vigorous development of network technology, the opportunity to access non-native language vocabulary has increased significantly. However, for users, there are many difficulties in understanding the meaning of non-native language vocabulary, so they can translate non-native language vocabulary. Translation software for native language vocabulary came into being. [0003] Generally speaking, translation software has a translation interface through which the user inputs non-native language vocabulary and then translates. However, when the user wants to query a large number of non-native language vocabulary, the translation interface cannot translate multiple non-native language words at the same ...

AI Technical Summary

Problems solved by technology

However, when the cursor moves to the second non-native language vocabulary for translation, the translation results originally displayed in the floating window will also be replaced by the translation results of the second non-native language vocabulary. Therefore, when the user wants to query a large number of When using non-native language vocabulary, it is easy to forget the explanation of the non-native language vocabulary that has been queried before after multiple queries, and then the situation must be re-queried. The user needs to input non-native language words to translate, but there is still the problem of not being able to translate multiple non-native language words in real time

[0005] To sum up, it can be seen that there has been a problem in the existing technology for a long time that it cannot translate multiple non-native language words in real time, so it is necessary to propose improved technical means to solve this problem

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