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Method and system of identifying translation demand

A technology for identifying methods and requirements, applied in the field of social network applications

Active Publication Date: 2013-06-05
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no effective translation needs identification mechanism for determining which topics need to be translated

Method used

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  • Method and system of identifying translation demand
  • Method and system of identifying translation demand

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0141] For the convenience of description, the following takes a typical social network platform—a Weibo platform as an example for further description. The method of the present invention is not limited to the Weibo platform, and other social network platforms are also applicable.

[0142] Such as Figure 6 As shown, it is a flow chart of the translation method in Embodiment 1 of the present invention, including:

[0143] S201. Obtain a hot topic.

[0144] On the microblog platform, a list of hot topics on the page can be directly obtained as hot topics, and the list is made according to the number of microblogs related to each topic. Hot topics can also be determined according to search frequency, and topics with a search frequency exceeding a certain amount are determined as hot topics.

[0145] S202. Identify topics that require translation.

[0146] For the acquired hot topic, use the above identification strategy to judge whether the text information of the hot topic...

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Abstract

The invention provides a method and a system of identifying translation demand. The method includes that theme lexical items of a hot topic in a network platform are obtained; by utilizing at least one identification method chosen from D1-D3, text messages of a topic class corresponding to the theme lexical items of the hot topic are judged whether to be in need for being translated into a target language or not, wherein the D1 is used for judging keywords of the theme lexical items whether to contain target language lexical items, transliterated word lexical items or lexical items in a preset keyword listing or not; the D2 is used for searching the text messages of the topic class corresponding to the theme lexical items in the target language network platform, and carries out statistics of the number of the text messages and judges whether the number is beyond a preset threshold value or not; and the D3 is used for carrying out translation demand acquisition on each hot topic through user survey, and judging according to labeled messages feedback by a user. The method and the system of identifying the translation demand is used for identifying the translation demand of a social networking service (SNS) topic, and system resources and translation time can be saved.

Description

【Technical field】 [0001] The invention relates to social network application technology, in particular to a translation requirement identification method and system. 【Background technique】 [0002] With the development of network technology, social networks (SNS——Social Networking Services, also known as "social network services"), such as facebook, twitter, Xiaonei, Kaixin, Sina Weibo, etc. Strong and other advantages, has become an important media platform in modern society. A social network is an interactive platform that enables users to communicate with each other and participate in each other. Users can publish, comment or forward various information on the social network platform. There are interlinkages among some information, they revolve around a same theme and have the same theme keywords. Classify various messages with the same topic keywords into the same topic, and use topic keywords to form topic entries as topic tags to identify the topic. There are variou...

Claims

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Application Information

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IPC IPC(8): G06F17/28G06F17/30
Inventor 马艳军吴华王海峰
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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