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A Recognition Method of Specific Vocabulary

A recognition method and vocabulary technology, applied in the field of vocabulary recognition, can solve the problems of reducing the speed and quality of document translation, time-consuming and labor-intensive manual processing, etc., to achieve the effect of improving accuracy and avoiding translation errors

Active Publication Date: 2021-09-17
IOL WUHAN INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This special processing method reduces the translation speed and quality of the document, and manual processing for a small number of special words is also time-consuming and labor-intensive

Method used

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  • A Recognition Method of Specific Vocabulary
  • A Recognition Method of Specific Vocabulary

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Experimental program
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Embodiment Construction

[0050] refer to figure 1 , the steps of the identification method proposed by the present invention are as follows:

[0051] S1, segmenting the document to be translated, and identifying nouns therein;

[0052] S2, judging whether the current noun contains Latin letters; if not, the noun does not need to be stored, and the next noun judgment is performed; otherwise, enter step S3;

[0053] S3: Determine whether the noun conforms to the Chinese pinyin scheme, if it conforms to the Chinese pinyin scheme, then the noun does not need to be stored, and proceeds to the next noun judgment; otherwise, enter step S4:

[0054] S4: storing all the identified nouns in an ordered list according to their positions in the document to be translated;

[0055] S5: Read the nouns in the ordered list sequentially;

[0056] S6: Segment the noun in bytes to obtain multiple feature fields;

[0057] S7: Judging whether at least one of the plurality of characteristic fields satisfies a predetermin...

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Abstract

The invention discloses a method, a system and a computer-readable medium for identifying specific vocabulary in a document to be translated. The method and system of the present invention can accurately identify most of the specific unconventional words that appear in the translation process, and the method can use computer software and / or hardware systems to realize automatic identification output. Adopting the present invention in actual translation work can avoid translation errors of relevant special words and improve the accuracy of translation work. In addition, the unconventional vocabulary base can be gradually established during the translation process, and the content of the base can be continuously enriched through the recognition process; thus, through the constantly updated unconventional vocabulary base, the full range of all texts to be translated including unconventional vocabulary can be finally realized. Automatic translation.

Description

technical field [0001] The invention belongs to the field of vocabulary identification, in particular to a method for identifying specific vocabulary in a document to be translated. Background technique [0002] In the translation work, we often encounter translation problems of some special vocabulary. These special words are neither traditional English words nor traditional Chinese pinyin words. When translating it, if the existing traditional translation corpus is followed, it is difficult to find corresponding translations that match the meaning of the original text for these words. Therefore, whether it is machine translation or human translation, due to the limitation of the corpus or the level of translators, deviations are inevitable. [0003] An example well known to translators is the translation of "Chiang Kai-shek". Wang Qi, a famous history professor, published in October 2008 "A Study on the Academic History of the Eastern Section of the Sino-Russian Boundar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/58G06F40/211G06F40/284G06F40/289G06F40/30
CPCG06F40/211G06F40/284G06F40/289G06F40/30G06F40/58
Inventor 郑丽华何征宇
Owner IOL WUHAN INFORMATION TECH CO LTD
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