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Method and device for machine translation

A technology of machine translation and translation probability, applied in the field of machine translation, can solve the problems of high computational cost and reduce user experience, so as to save costs and improve user experience.

Active Publication Date: 2018-02-16
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] It can be seen from the above that due to the large number of rules in the rule table, forcing the decoding to use the expectation maximization algorithm to estimate the probability of each rule in the compressed standard derivation forest will make the calculation expensive and reduce the user experience.

Method used

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  • Method and device for machine translation
  • Method and device for machine translation
  • Method and device for machine translation

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Embodiment Construction

[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0069] refer to figure 1 , figure 1 It is a flow chart of a machine translation method provided by an embodiment of the present invention. Such as figure 1 As shown, the method includes the following steps:

[0070] Step 101, determining each sentence in the data to be translated;

[0071] Step 102: Obtain the first standard derivation set of the sentence, the first standard derivation set includes at least the frequency information of the first translation rul...

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Abstract

Disclosed are a machine translation method and device. The method comprises: by determining each sentence in data to be translated, acquiring a first standard derived set of the sentence, wherein the first standard derived set at least comprises frequentness information about a first translation rule, and the frequentness information is the number of times the first translation rule is used when the sentence is forcibly decoded; filtering the first standard derived set according to the frequentness information about the first translation rule to obtain a second standard derived set, wherein the second standard derived set at least comprises frequentness information about a second translation rule; and acquiring a translation result according to the second standard derived set and the data to be translated, thereby realizing language translation while only occupying a small amount of resources, saving the user the cost of translation acquisition, and improving the user experience of a mobile terminal.

Description

technical field [0001] The present invention relates to the field of machine translation, in particular to a machine translation method and equipment. Background technique [0002] With the development of economic globalization, the exchange and exchange of information between different countries has become more and more frequent. At the same time, the vigorous development of the Internet provides great convenience for obtaining information in various languages ​​such as English, Chinese, French, German, and Japanese. The public's demand for translation between different languages ​​has also become increasingly strong. Manual translation is time-consuming and costly, and it can no longer meet people's growing demand for multilingual information. Machine translation can automatically translate one natural language into another natural language. It has become an inevitable trend to use machine translation to quickly obtain multilingual information and resources. This makes...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/28
CPCG06F40/40
Inventor 马林腾志扬熊皓
Owner HUAWEI TECH CO LTD