Method for supporting multi-platform multi-terminal multi-language kind translation based on multi-media

Abstract

The invention relates to a multimedia-based, multi-platform, multi-terminal, and multi-language translation method with high translation accuracy. The invention includes the following steps: (1) information classification and recording; (2) client terminals, after system initialization, can be used to select the language environment suitable for themselves. The language, called Language A, can be clicked to enter the interface; (3) the client terminals select the target language B in the suitable language environment; (4) information searching; (5) the client terminals can continue to select the target language C according to the multimedia information. The server terminals, according to the multimedia information, search the corresponding pronunciation and paraphrase of language C in the multi-language meaning database, and send the result to the client terminal through analysis program, thus completing the multi-language translation from Language A to Language B, and then to Language C based on multimedia. The invention can, with multimedia information as the medium for the multilingual translation, directly reveal the meaning of sentences to achieve the translation accuracy of information interactivity among multiple languages.

Description

technical field [0001] The invention relates to a multilingual mutual translation method for information interaction, in particular to a multimedia-based multilingual mutual translation method supporting multi-platform and multi-terminal. Background technique [0002] At present, the application of network and information technology has penetrated into all fields of society, and the inter-language translation method based on the network is also constantly updated and developed. However, the traditional translation system is still based on semantics. For example: Chinese want to To convey a message to the British, use Chinese-to-English translation software to translate Chinese into English, and then convey it to the British. The translation process is to compare and analyze the semantics of each word in the sentence and the collocation structure, and finally choose or Combine a most suitable English word or sentence with the closest semantics. There are the following drawba...

AI Technical Summary

Problems solved by technology

There are the following drawbacks in the existing semantic-based translation tools: (1) the translation software has a single function and cannot be adapted to the needs of multilingual translation. (2) The accuracy is poor, because the target sentence translated into it is only the closest meaning that the software can achieve, there must be uncertainty, and it cannot be used in business communication, education and learning, etc., which require high information accuracy. (3) poor intuition, the existing translation software cannot present vivid multimedia information to the user to help the user understand, and can only be translated by rigid words or sentence patterns, so it is not conducive to teaching applications; (4) client Single, the clients of most translation software can only be computers and learning machines, which have poor limitations and cannot be applied randomly

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