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Bi text Name Tagging for Cross lingual Entity Annotation Projection Dongle Zhang1, Bowling Zhang2, Xiaomi Pan2, Xiaoping Feng3, Hung Ji2, Warn Xu1 1 Beijing University of Posts and Telecommunications,
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How to fill out bitext name tagging for

01
First, you need to understand the purpose of bitext name tagging. It is used to annotate or label names in a text.
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To fill out bitext name tagging, you should have a text document that requires name tagging.
03
Read the text and identify all the names that need to be tagged.
04
For each name, create a tag or label that represents the type of name it is. For example, you can use tags like person, organization, location, etc.
05
Next, go through the text again and locate each instance of the name. Surround the name with the appropriate tag.
06
Ensure that the tags are consistent throughout the text. If you used 'person' for a name in one instance, use the same tag for that name in all other instances.
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Double-check your tagging to verify that you haven't missed any names in the text.
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Save the bitext name tagging file in the desired format, such as JSON or XML.
09
Congratulations! You have successfully filled out bitext name tagging for your text.

Who needs bitext name tagging for?

01
Researchers and linguists who are studying named entities in a text may need bitext name tagging.
02
Organizations that want to extract specific information from large amounts of textual data can benefit from bitext name tagging.
03
Companies creating language-related technologies like machine translation, sentiment analysis, or text summarization can utilize bitext name tagging.
04
Content creators and marketers who want to understand the impact of named entities in their text can benefit from bitext name tagging.
05
Journalists and news agencies who need to analyze news articles and extract information about people, organizations, and locations can use bitext name tagging.
06
Governments and security agencies may employ bitext name tagging to analyze large volumes of text for surveillance or intelligence purposes.
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Bitext name tagging is used to identify and label specific names or entities in a text, making it easier for machines to understand and analyze the content.
Individuals or organizations that need to analyze large volumes of text data often use bitext name tagging to improve the accuracy of their data processing.
Bitext name tagging can be filled out manually by labeling names or entities in a text or using automated tools and algorithms to perform the tagging.
The purpose of bitext name tagging is to improve text analysis, sentiment analysis, information retrieval, and other natural language processing tasks.
The information reported on bitext name tagging includes the specific names or entities that have been tagged in the text, along with any relevant metadata.
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