nlp_paper_study | 研读顶会论文，复现论文相关代码

by km1994 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | nlp_paper_study Summary

nlp_paper_study is a Python library. nlp_paper_study has no bugs, it has no vulnerabilities and it has low support. However nlp_paper_study build file is not available. You can download it from GitHub.

研读顶会论文，复现论文相关代码

Support

Quality

Security

License

Reuse

Support

nlp_paper_study has a low active ecosystem.

It has 41 star(s) with 8 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

nlp_paper_study has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nlp_paper_study is current.

Quality

nlp_paper_study has no bugs reported.

Security

nlp_paper_study has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

nlp_paper_study 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.

Reuse

nlp_paper_study releases are not available. You will need to build from source code and install.

nlp_paper_study has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed nlp_paper_study and discovered the below as its top functions. This is intended to give you an instant insight into nlp_paper_study implemented functionality, and help decide if they suit your requirements.

Main function for the main function
Performs a BERT correction on the given text
Generate a list of items for a given word
Correct text according to given text
Evaluate a file with the given rule
Evaluate a corpus with a BertCorrector
Evaluate a given text corpus
Evaluate a sighan 2015 file
Train model
Save the checkpoint
Returns an iterator over the dataset
Calculate the decay rate
Parse command line options
Main function
Load model from pretrained
Build the eval corpus
Forward computation
Parse XML file
Create a MSCC dataset from input directory
Tokenize a unicode string
Evaluate a sighan corpus
Correct the text of the text
Evaluate a script based on the rule
Get a file
Optimized optimization
Evaluate a text corpus with BertCorrector
Evaluate the given corpus with the given text
Evaluate a sighan 2015 script
Translate a source file
Fix the text
Takes a text string and returns a list of tokens and a list of tokens

Get all kandi verified functions for this library.

nlp_paper_study Key Features

No Key Features are available at this moment for nlp_paper_study.

nlp_paper_study Examples and Code Snippets

No Code Snippets are available at this moment for nlp_paper_study.

Community Discussions

No Community Discussions are available at this moment for nlp_paper_study.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nlp_paper_study

You can download it from GitHub.
You can use nlp_paper_study 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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