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Machine translation method and system

A machine translation and syntax analysis technology, applied in the field of natural language processing research, can solve the problems of large number of redundant rules and poor machine translation performance, and achieve the effect of improving performance

Active Publication Date: 2015-01-07
BEIJING JIAOTONG UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] In order to solve the problem that the number of redundant rules in the extracted hierarchical phrase translation rules in the prior art is very large, resulting in very poor machine translation performance, the embodiment of the present invention provides a machine translation method and system

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Embodiment Construction

[0092] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0093] figure 1 It is a method flow chart of the machine translation method provided in an embodiment of the present invention. The machine translation system can be implemented as part or all of the computer through software, hardware or a combination of the two. The machine translation method includes a translation step comprising:

[0094] Step 101: Obtain an input source language test sentence;

[0095] Step 102: Perform lexical analysis on the source language test sentence to obtain the lexical analysis result of the source language test sentence;

[0096] Step 103: Perform syntactic structure analysis on the lexical analysis result of the source language test sentence to obtain the syntactic analysis result of the source langua...

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Abstract

The invention discloses a machine translation method and system and belongs to the field of natural language processing research. The machine translation method comprises a training process and a translation process; tree to string bilingual alignment corpora are formed by extracting a PAS (Predicate Argument Structure) of a source language sentence and combining a word string of a lexical analysis result of a target language; extraction and decoding processes of a tree to string machine translation rule are guided through PAS information; accordingly the PAS is directly modeled to tree to string machine translation. The machine translation method solves the problem that the number of extracted redundancy rules for performing statistics on translation rules in the prior art is large by modeling the PAS to the tree to string machine translation and achieves effects of reducing the number of the redundancy rules, improving semantic structures and semantic relevancy, improving the long-distance order adjusting performance and improving the translation quality.

Description

technical field [0001] The invention relates to the field of natural language processing research, in particular to a machine translation method and system. Background technique [0002] At present, the mainstream methods of machine translation can be roughly divided into rule-based and corpus-based methods, and corpus-based methods can be subdivided into instance-based methods and statistics-based methods. The machine translation method based on statistics can use the bilingual parallel corpus as the learning data, automatically obtain the translation rules through training, and at the same time, combine the language model to translate the test sentences. With the continuous improvement of statistical machine translation models, word-based, phrase-based and syntactic structure-based statistical models have appeared successively, and the translation quality has been continuously improved. [0003] However, traditional statistical machine translation models make more use of ...

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Application Information

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IPC IPC(8): G06F17/28G06F17/27
Inventor 徐金安吴培昊
Owner BEIJING JIAOTONG UNIV
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