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A text data processing method for English translation

A text data and processing method technology, applied in the field of English translation, can solve problems such as failure to meet translation requirements, blunt translation, tense and word order errors, etc., so as to avoid tense and word order errors, realize update filling, and translate accurately Effect

Inactive Publication Date: 2019-01-18
JIUJIANG UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, due to the large number of English grammar and rules, the database of translation tools may not be able to completely match the sentences to be translated. Basically, the sentences to be translated are translated one-to-one. Wrong tense and word order often occur. Moreover, the translation is blunt, failing to meet the translation requirements of letter, expressiveness, and elegance that are often said in translation.
At this time, users with English foundation need to proofread sentence by sentence, straighten out the word order, adjust the tense, and reorganize the language according to their own grammatical knowledge. These are powerless for users with poor English foundation

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] A text data processing method for English translation, comprising the steps of:

[0023] S1. Segment the data to be translated, identify the punctuation in the data to be translated, use the period as the segmentation position, and obtain the text information in units of sentences;

[0024] S2. Complete the identification of the feature items in the text information based on the preset probability retrieval model. If the feature items exist, the text data is sent to a special translation module for translation. The special translation module takes sentences with feature items as Inquiry conditions: query the closest data in the special translation data database, wherein the similarity rate between the closest data and the query conditions must not be lower than 80%, and if it is lower than 80%, the manual translation module will be activated; If the feature item does not exist, enter step S3;

[0025] S3. Divide the text information into several modules consisting of w...

Embodiment 2

[0029] A text data processing method for English translation, comprising the steps of:

[0030] S1. Segment the data to be translated, identify the punctuation in the data to be translated, use the period as the segmentation position, and obtain the text information in units of sentences;

[0031] S2. Complete the identification of the feature items in the text information based on the preset Boolean logic model. If the feature items exist, the text data is sent to a special translation module for translation. The special translation module takes sentences with feature items as Inquiry conditions: query the closest data in the special translation data database, wherein the similarity rate between the closest data and the query conditions must not be lower than 80%, and if it is lower than 80%, the manual translation module will be activated; If the feature item does not exist, enter step S3;

[0032] S3. Divide the text information into several modules consisting of words and...

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PUM

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Abstract

The invention discloses a text data processing method for English translation, includes the following steps: the data to be translated is divided into text information in sentences, and then the feature items in the text information are identified based on the retrieval model, if there is a feature item, the text data is sent to a manual translation module / a special translation module for translation; if there is no feature item, the text information is divided into several modules composed of words and phrases based on preset English translation rules, and the arrangement rules of the words and phrases in the text information are obtained; Taking words and phrases as query criteria, the corresponding translation data are queried in the local database, and then the translation results corresponding to the queried data are arranged based on permutation rules to output sentence translation results. The integration of the translation results of the non-feature sentences and the feature sentences is completed, and output to the client. The invention avoids the errors of the tense and the word order of the translation time, and can reduce the blind area of the translation system at thesame time.

Description

technical field [0001] The invention relates to the technical field of English translation, in particular to a text data processing method for English translation. Background technique [0002] With the continuous deepening of international exchanges, the demand for translation of English documents is also increasing, prompting the emergence of a large number of English translation tools, these English translation tools are usually divided into online and local versions, regardless of whether the online version or local Versions are translated by searching for translations in the database. The emergence of these translation tools greatly meets the translation needs of users, and contributes to improving translation efficiency and promoting social progress. [0003] However, due to the large number of English grammar and rules, the database of translation tools may not be able to completely match the sentences to be translated. Basically, the sentences to be translated are tr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/28G06F17/27G06F16/33
CPCG06F40/289G06F40/58
Inventor 王萍
Owner JIUJIANG UNIVERSITY