wgraph | Etymological graphs based on Wiktionary dumps | Natural Language Processing library

by remusao Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | wgraph Summary

wgraph is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. wgraph has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

See what it can do: Etymological graphs based on Wiktionary dumps. Extract Etymological relations between words from Etymology sections of Wiktionary dumps. Multiple languages are supported (currently en and fr) and the extraction process should be relatively fast (e.g.: extracting all etymological references from the 5.2GB English Wiktionary dumps takes ~2 minutes).

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Quality

Security

License

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Support

wgraph has a low active ecosystem.

It has 14 star(s) with 5 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

wgraph has no issues reported. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of wgraph is current.

Quality

wgraph has no bugs reported.

Security

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

License

wgraph is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

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

Generate a graph for the given word
Depth - first search
Adds a node to the graph
Create SVG graph
Split a string into references
Given an iterable of lines yield title and reference texts
Return an iterator of template templates
Parse a ref
Loads a graph from a file
Return an iterator over the file
Return the distance between two words
Return a list of references to a given word
Find the distance between the word in the graph
Dump a list of references
Add a node to the graph
Yield lines from file
Returns a list of all parents of the given word
Return an iterator that yields titles and section titles
Apply styles to graph
Return verbose message

Get all kandi verified functions for this library.

wgraph Key Features

No Key Features are available at this moment for wgraph.

wgraph Examples and Code Snippets

No Code Snippets are available at this moment for wgraph.

Community Discussions

Trending Discussions on wgraph

D3v4 graph class, trouble adding nodes

QUESTION

D3v4 graph class, trouble adding nodes

Asked 2018-Aug-23 at 17:21

I'm working on a javascript graph implementation that I could use as base for faster prototyping.

When I'm running the code, I'm constantly getting this error: Unexpected value translate(NaN,NaN) parsing transform attribute.

Here's the bit where I add a node, a complete CodePen example is available here.

...

ANSWER

Answered 2018-Aug-23 at 17:21

After some inspection and logging it turns out that mCenterX and mCenterY are NaN.

This has the result that the d3.forceX and d3.forceY update the position of the node to NaN.

@VincentDM found that the px in the width and height attributes where a problem in the parsing of the attributes. The following would have solved the problem also

Source https://stackoverflow.com/questions/51985204

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

Vulnerabilities

No vulnerabilities reported

Install wgraph

You can download it from GitHub.
You can use wgraph 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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