word_segmentation | typically separated by spaces , making sentence
kandi X-RAY | word_segmentation Summary
kandi X-RAY | word_segmentation Summary
word_segmentation is a Python library. word_segmentation has no bugs, it has no vulnerabilities and it has low support. However word_segmentation build file is not available. You can download it from GitHub.
##chinese word segmentation in languages such as english or french, words are typically separated by spaces, making sentence tokenization simple. however, in chinese (and japanese kanji), the written language consists of characters that are not delimited, making word tokenization difficult. a given character may have an independent meaning as a word, and a separate meaning when grouped with other characters. for instance, the character 中 means 'middle', 将 means 'will', and when combined, 中将 means 'lieutenant general'. this can lead to ambiguities when attempting to segment and translate a sentence, since depending on the context, the correct translation of 中将 may be 'middle will', while in another context it may be 'lieutenant general'. to illustrate with a couple english examples, first consider the
##chinese word segmentation in languages such as english or french, words are typically separated by spaces, making sentence tokenization simple. however, in chinese (and japanese kanji), the written language consists of characters that are not delimited, making word tokenization difficult. a given character may have an independent meaning as a word, and a separate meaning when grouped with other characters. for instance, the character 中 means 'middle', 将 means 'will', and when combined, 中将 means 'lieutenant general'. this can lead to ambiguities when attempting to segment and translate a sentence, since depending on the context, the correct translation of 中将 may be 'middle will', while in another context it may be 'lieutenant general'. to illustrate with a couple english examples, first consider the
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Support
word_segmentation has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
word_segmentation has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of word_segmentation is current.
Quality
word_segmentation has no bugs reported.
Security
word_segmentation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
word_segmentation does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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word_segmentation releases are not available. You will need to build from source code and install.
word_segmentation has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
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word_segmentation Key Features
No Key Features are available at this moment for word_segmentation.
word_segmentation Examples and Code Snippets
No Code Snippets are available at this moment for word_segmentation.
Community Discussions
No Community Discussions are available at this moment for word_segmentation.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install word_segmentation
You can download it from GitHub.
You can use word_segmentation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use word_segmentation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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