ag | Annotation Graph API for linguistic annotations | Data Labeling library

 by   nzilbb Java Version: Current License: GPL-3.0

kandi X-RAY | ag Summary

kandi X-RAY | ag Summary

ag is a Java library typically used in Artificial Intelligence, Data Labeling applications. ag has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub, Maven.

Implementations of an Annotation Graph API for linguistic annotations. Annotation Graphs are a data structure conceived by Steven Bird and Mark Liberman: ((
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            kandi-support Support

              ag has a low active ecosystem.
              It has 5 star(s) with 1 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 6 open issues and 19 have been closed. On average issues are closed in 683 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ag is current.

            kandi-Quality Quality

              ag has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              ag is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              ag releases are not available. You will need to build from source code and install.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ag and discovered the below as its top functions. This is intended to give you an instant insight into ag implemented functionality, and help decide if they suit your requirements.
            • Transforms a graph
            • Map the sub - source annotations
            • Computes the overlap rate between two annotations
            • Converts the operation into a character code string
            • Loads the serialized graph
            • Returns a set of distinct node types for a given node
            • Returns a set of distinct node types
            • Deserialize the serialized data
            • Compares this annotation with the specified annotation
            • Transcripts the given audio file
            • Sets the parameters for a specific annotation task
            • Sets the parameters for the given annotation task
            • Initializes the MOR
            • Compares two Anchors
            • Sets the parameters
            • Returns the serialized form of the graph
            • Translates the given audio file
            • Initializes the bean from the given JSON representation
            • Set the parameters for an annotated annotation task
            • Transforms the given graph
            • Starts the corpus
            • Transform the transcript tokens from a MOR
            • Deserializes the serialized representation
            • Sets the parameters for the deserializer
            • Deserialize the serialized representation
            • Initialize the applet
            Get all kandi verified functions for this library.

            ag Key Features

            No Key Features are available at this moment for ag.

            ag Examples and Code Snippets

            No Code Snippets are available at this moment for ag.

            Community Discussions

            QUESTION

            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

            ...

            ANSWER

            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install ag

            You can download it from GitHub, Maven.
            You can use ag 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 ag 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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