Multilingual inter-translation method and system based on transfer learning

A transfer learning, multilingual technology, applied in the field of multilingual translation

Inactive Publication Date: 2020-02-07
东营职业学院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a method and system for multilingual intertranslation based on transfer learning to solve the problems in the prior art presented in the above-mentioned background technology. How to quickly and automatically pass through the emotional tendency of a large number of comment texts that appear in the self-media, so as to obtain The Problem of Compatible Translations

Method used

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  • Multilingual inter-translation method and system based on transfer learning

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Embodiment

[0051] This embodiment: as figure 1 As shown, a multilingual translation method based on transfer learning, including:

[0052] Set S101 source relational words with relational characteristics in the vocabulary of a language;

[0053] Determining the target relative words corresponding to the source relative word set in the vocabulary of another language as the target relative word set S102;

[0054] Obtain a source synonym S103 of a source relation word through transfer learning training similarity calculation and part-of-speech recognition for any source relation word in the source relation word set;

[0055] Obtain a target synonym of a target relative word S104 through the similarity calculation and part-of-speech recognition of the target relative word set corresponding to the target relative word through transfer learning training;

[0056] A corresponding translation in another language is obtained according to the corresponding relationship between the source synonym...

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Abstract

The invention belongs to the technical field of multilingual inter-translation, in particular to a multilingual inter-translation method and system based on transfer learning. The multilingual inter-translation method comprises the following steps: performing similarity calculation and part-of-speech recognition on any source relational word in a source relational word set through transfer learning training to obtain a source synonym of the source relational word; obtaining a target synonym of a target relational word through similarity calculation of transfer learning training and part-of-speech recognition of the target relational word corresponding to the target relational word set; and obtaining a translation of another corresponding language according to the corresponding relationshipbetween the source synonym and the target synonym. The multilingual inter-translation method solves the problem of how to quickly and automatically obtain the corresponding translated text through the emotional tendency of a large number of comment texts appearing in the we-media in the prior art, and has the beneficial technical effect of quickly and automatically obtaining the corresponding translated text through the emotional tendency of the comment texts from the large number of comment texts.

Description

technical field [0001] The invention belongs to the technical field of multilingual mutual translation, and in particular relates to a method and system for multilingual mutual translation based on transfer learning. Background technique [0002] Transfer learning is a machine learning method that takes the model developed for task A as the initial point and reuses it in the process of developing the model for task B. The task of machine translation can be described as: converting a language (source language) text Enter the computer, generate another language (target language) text through a computer program, and the source language text and the target language text have the same meaning. There are many types of machine translation systems, and the strategies and techniques adopted are also different, but the basic The working process is roughly the same. To put it simply, the first step of machine translation is to analyze the source text at different levels, and then gener...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/58G06F40/42
Inventor 柳洪轶
Owner 东营职业学院
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