Sudachi | A Japanese Tokenizer for Business | Natural Language Processing library

 by   WorksApplications Java Version: 0.7.3 License: No License

kandi X-RAY | Sudachi Summary

kandi X-RAY | Sudachi Summary

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

Sudachi is Japanese morphological analyzer. Morphological analysis consists mainly of the following tasks.
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            kandi-support Support

              Sudachi has a low active ecosystem.
              It has 661 star(s) with 61 fork(s). There are 46 watchers for this library.
              There were 2 major release(s) in the last 12 months.
              There are 19 open issues and 40 have been closed. On average issues are closed in 144 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Sudachi is 0.7.3

            kandi-Quality Quality

              Sudachi has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              Sudachi does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Sudachi releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Sudachi and discovered the below as its top functions. This is intended to give you an instant insight into Sudachi implemented functionality, and help decide if they suit your requirements.
            • Analyze the input texts
            • Generate a formatter
            • Fallback settings from settings
            • Parses a JSON string into a Settings object
            • Writes this dictionary to the model
            • Converts a word to its ID
            • Parses the dictionary into integers
            • Parse an id from text
            • Private method for parsing a line
            • Provides the output of an OV node
            • Replaces the substring of the specified range
            • Run the system
            • Get compiled binary without header
            • Prints the contents of the dictionary
            • Set up the grammar
            • Rewrites the mark
            • Rewrite the text
            • Rewrite text
            • Runs the user dictionary
            • Tokenize a sentence
            • Rewrite all Unicode characters
            • Provides an optimal OVV node
            • Write the word trie table
            • Download the dictionary
            • Rewrite a path
            • Reads the connection matrix from an input stream
            Get all kandi verified functions for this library.

            Sudachi Key Features

            No Key Features are available at this moment for Sudachi.

            Sudachi Examples and Code Snippets

            No Code Snippets are available at this moment for Sudachi.

            Community Discussions

            QUESTION

            Custom analyzer for Elasticsearch
            Asked 2020-Jun-12 at 13:59

            I am trying to use Sudachi plugin in my Elasticsearch using python. I have verified that the plugin has bee installed and it is working fine using JSON directly, and the paths exist. However, I am not able to integrate it into my python code. I suspect I have the tokenizer and/or analyzer wrong, but the documentation is not very clear to me. Any help in overcoming the error is welcome, Thanks!

            ...

            ANSWER

            Answered 2020-Jun-12 at 13:59

            Do it like this, you need to reference your custom analyzer instance, not its name:

            Source https://stackoverflow.com/questions/62342782

            QUESTION

            Error in installing python package Flair, about a dependent package not hosted in PyPI
            Asked 2020-Jan-11 at 17:21

            I am trying to install flair. It is throwing below error when executing below command:

            pip install flair

            ERROR: Packages installed from PyPI cannot depend on packages which are not also hosted on PyPI.
            tiny-tokenizer depends on SudachiDict_core@ https://object-storage.tyo2.conoha.io/v1/nc_2520839e1f9641b08211a5c85243124a/sudachi/SudachiDict_core-20190927.tar.gz

            I thought installing this package explicitly might fix the error but it doesn't. The error remains same. The installed version of SudachiDict-core is below: SudachiDict-core 0.0.0

            Below is the Environment:

            • OS: Windows 10
            • Python: 3.6 (64 bit)

            Any hint is appreciated. Thank you!

            Note:

            • First hurdle when installing flair was torch package. It was resolved simply when torch package is installed. The error looked like below: ERROR: Could not find a version that satisfies the requirement torch>=1.1.0 (from flair) (from verERROR: No matching distribution found for torch>=1.1.0 (from flair)
            ...

            ANSWER

            Answered 2020-Jan-07 at 10:32

            It is strange running below command solved the problem.

            pip install flair==0.4.3

            I assume that the problem is in a latest version 0.4.4 (and its dependencies).

            Note: I had torch==1.1.0 package already installed.

            Source https://stackoverflow.com/questions/59559294

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

            Vulnerabilities

            No vulnerabilities reported

            Install Sudachi

            You can download it from GitHub, Maven.
            You can use Sudachi 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 Sudachi 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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          • HTTPS

            https://github.com/WorksApplications/Sudachi.git

          • CLI

            gh repo clone WorksApplications/Sudachi

          • sshUrl

            git@github.com:WorksApplications/Sudachi.git

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