Randomized-Greedy-Constituency-Parser

by dgaddy Java Version: Current License: No License

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

kandi X-RAY | Randomized-Greedy-Constituency-Parser Summary

Randomized-Greedy-Constituency-Parser is a Java library. Randomized-Greedy-Constituency-Parser has no bugs, it has no vulnerabilities and it has low support. However Randomized-Greedy-Constituency-Parser build file is not available. You can download it from GitHub.

Randomized-Greedy-Constituency-Parser

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Quality

Security

License

Reuse

Support

Randomized-Greedy-Constituency-Parser has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

Randomized-Greedy-Constituency-Parser has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Randomized-Greedy-Constituency-Parser is current.

Quality

Randomized-Greedy-Constituency-Parser has no bugs reported.

Security

Randomized-Greedy-Constituency-Parser has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Randomized-Greedy-Constituency-Parser 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

Randomized-Greedy-Constituency-Parser releases are not available. You will need to build from source code and install.

Randomized-Greedy-Constituency-Parser 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 Randomized-Greedy-Constituency-Parser and discovered the below as its top functions. This is intended to give you an instant insight into Randomized-Greedy-Constituency-Parser implemented functionality, and help decide if they suit your requirements.

Main method for testing
Trains training scores
Trains training examples
Read a single ptb tree
Given a list of words return a list of spans
Perform a unary unary scan
Collect the span for the span
Decode a list of features
Performs a unary scan for each rule
Trains a model
Generate a list of possible labels for a list of spans
Write a SpannedWords tree
Checks if two spans are equal
Decodes max score
Calculates the probabilities of each word in the given words
Takes a model file and prints the stats
Test program
Checks if the spans are well - formed
Generates a list of parses from the tree rooted at a given span
Returns a list of property codes for a span
Calculates the counts for each rule
Counts the number of rules in training
Sets the gold labels
Sets the weight for each span
Checks if the parameters are valid
Compares this node to another

Get all kandi verified functions for this library.

Randomized-Greedy-Constituency-Parser Key Features

No Key Features are available at this moment for Randomized-Greedy-Constituency-Parser.

Randomized-Greedy-Constituency-Parser Examples and Code Snippets

No Code Snippets are available at this moment for Randomized-Greedy-Constituency-Parser.

Community Discussions

No Community Discussions are available at this moment for Randomized-Greedy-Constituency-Parser.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install Randomized-Greedy-Constituency-Parser

You can download it from GitHub.
You can use Randomized-Greedy-Constituency-Parser like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Randomized-Greedy-Constituency-Parser component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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