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Machine translation system based on semanteme and its method

A machine translation and semantic technology, applied in the field of semantic-based machine translation systems, can solve problems such as inability to cover, high system overhead, and complexity

Inactive Publication Date: 2003-07-09
高庆狮 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The problems with this method are: only one target language can be translated in one translation process; the bilingual dictionary is very large and complex; a large number of complex grammatical rules and special corresponding operations between the two languages ​​need to be translated when each sentence is translated. Repeated execution makes the translation program large and complex, and has a great overhead on the system; and because the computer program cannot cover all possible changes, the translation is often inaccurate or unacceptable

Method used

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  • Machine translation system based on semanteme and its method
  • Machine translation system based on semanteme and its method
  • Machine translation system based on semanteme and its method

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Embodiment Construction

[0016] First, referring to FIG. 1 , the semantic-based machine translation method of the present invention will be described. FIG. 1 is a flowchart of a semantic-based machine translation method according to an embodiment of the present invention. The machine translation method of the present invention, unlike the prior art, is semantically based. In order to better understand the present invention, some terms and concepts involved in the present invention are explained below:

[0017] In natural language, a unit that expresses a meaning is called a semantic unit, for example, "engineer".

[0018] A unit expressing a meaning (ie, a semantic unit) in any specific natural language (such as English, Chinese, etc.) is called the semantic unit representation of the semantic unit in the specific natural language. For example, the Chinese representation of an engineer is "engineer", and the English representation is "engineer".

[0019] The semantics of a sentence in any specific ...

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Abstract

The natural language machine translation method based on semanteme is used for automatically traslating source text of original language into translation of one or several objective languages, said method includes the following steps: extracting one sentence of source text; according to semantic unit presentation library making semantic analysis of said sentence so as to obtain the sentence meaning expression formula, according to semantic unit presentation library using semantic unit presentation of objective language to spread said sentence meaning expression formula, using the spread sentence as translation to output it. Said invention can simultaneously traslate several objective languages.

Description

technical field [0001] The invention relates to machine translation, in particular to a semantic-based machine translation system and method. Background technique [0002] Using computer technology to realize automatic translation between different natural languages ​​has always been the direction of efforts of technicians. However, due to the complexity and diversity of natural languages ​​and the large number of complex correspondences between different languages, the existing machine translation The accuracy rate of the system and the acceptability of the translation are relatively low, and have not reached the practical level. [0003] At present, the method used in machine translation is basically: first analyze sentences and paragraphs in the original language based on grammar or corpus analysis methods, and then combine bilingual dictionaries to perform matching searches and replace corresponding words with words in the target language. Then, the replaced words are r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/28
Inventor 高庆狮胡玥高小宇
Owner 高庆狮
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