Machine translation method, device and electronic equipment based on statistics

A technology of machine translation and translation probability, applied in the field of machine translation, can solve problems such as semantic inconsistency between the original text and the translated text

Active Publication Date: 2019-06-25
阿里巴巴(中国)网络技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] This application provides a machine translation method, device and electronic equipment based on statistics to solve the problem of semantic inconsistency between the original text and the translated text in the prior art

Method used

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  • Machine translation method, device and electronic equipment based on statistics
  • Machine translation method, device and electronic equipment based on statistics
  • Machine translation method, device and electronic equipment based on statistics

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Embodiment Construction

[0285] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the application. However, the present application can be implemented in many other ways different from those described here, and those skilled in the art can make similar promotions without violating the connotation of the present application. Therefore, the present application is not limited by the specific implementation disclosed below.

[0286] In this application, a statistical-based machine translation method, device and electronic device, a method, device and electronic device for calculating semantic similarity, and a word quantification method, device and electronic device are provided. Each will be described in detail in the following examples.

[0287] The core basic idea of ​​the statistics-based machine translation method provided by this application is: when building a machine translation model, go deep into the semantic level of natural la...

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Abstract

A statistics-based machine translation method is disclosed. The method generates probabilities of translation from a sentence to be translated to candidate translated texts based on features of the candidate translated texts that affect the probabilities of translation and a pre-generated translation probability prediction model. The features that affect probabilities of translation include at least degrees of semantic similarity between the sentence to be translated and the candidate translated texts. A preset number of candidate translated texts with highly ranked probabilities of translation are selected to serve as translated texts of the sentence to be translated. The method is able to go deep into a semantic level of a natural language when a machine translation model is constructed to avoid a semantic deviation of a translated text from an original text, thereby achieving the effect of improving the quality of translation.

Description

technical field [0001] The present application relates to the technical field of machine translation, in particular to a statistics-based machine translation method, device and electronic equipment. The present application also relates to a method, device and electronic device for calculating semantic similarity, and a word quantization method, device and electronic device. Background technique [0002] Machine translation refers to the use of electronic computers to automatically translate from one natural language text (source language) to another natural language text (target language). The software used to complete this process is called a machine translation system. With the development and popularization of electronic computers and the Internet, cultural exchanges between various ethnic groups have become more frequent, and the problem of language barriers has once again become prominent in the new era. People are in more urgent need of machine translation than ever be...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/28G06N3/02
CPCG06F40/44G06F40/55G06F40/205G06F40/30
Inventor 曾晓东骆卫华林锋
Owner 阿里巴巴(中国)网络技术有限公司
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