Information exchange method between different languages

Abstract

The present invention relates to information exchange method between different languages and belongs to the field of information technology. After the user's phonetic information is accepted based on Agent technology, the user's interactive Agent analyzes the user's phonetic information and interpreting scheme and submits the result to phonetic server and interpreting platform; the phonetic recognizing Agent processes the phonetic information; the interpreting Agent recognizes the reasonable interpreting scheme or processes based on the user's interpreting scheme and processes various interactive courses; the information interacting Agent transmits the result to the destination of information transmission; the phonetic expressing Agent realizes the phonetic expression of semanteme information.

Description

Technical field [0001] The invention designs a network information interaction method, especially a cross-language voice information communication method, which belongs to the field of information technology. Background technique [0002] With the development of the Internet, the amount of Web information has grown rapidly. However, the differences in cultures and languages ​​in various countries have caused great problems in the exchange of information. Internet users are often restricted by language. Due to the differences in the language and culture on which information is based, many "information islands" are formed on the Internet, and the information in each part is incomplete, which will lead to information exchange between islands. There are big obstacles, especially voice communication. Experts and scholars at home and abroad have proposed many methods of cross-language network communication. After literature search, it was found that the TransBBS system (ICE2002 Site, h...

AI Technical Summary

Problems solved by technology

However, there are also many shortcomings: (1) It can only provide support for a single translation engine and search source, and cannot dynamically improve translation quality

(2) The processing speed is too slow to communicate at the voice level, but only text-based communication

(3) User information cannot be retained, and translation feedback cannot be realized, so that errors in the communication process cannot be corrected, resulting in large obstacles to information exchange.