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language-detection | Language detection library for Android | Computer Vision library

 by   rmtheis Java Version: Current License: Apache-2.0

 by   rmtheis Java Version: Current License: Apache-2.0

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kandi X-RAY | language-detection Summary

language-detection is a Java library typically used in Artificial Intelligence, Computer Vision applications. language-detection has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can download it from GitHub.
Language detection library for Android
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • language-detection has a highly active ecosystem.
  • It has 39 star(s) with 25 fork(s). There are 11 watchers for this library.
  • It had no major release in the last 12 months.
  • language-detection has no issues reported. There are no pull requests.
  • It has a positive sentiment in the developer community.
  • The latest version of language-detection is current.
language-detection Support
Best in #Computer Vision
Average in #Computer Vision
language-detection Support
Best in #Computer Vision
Average in #Computer Vision

quality kandi Quality

  • language-detection has 0 bugs and 0 code smells.
language-detection Quality
Best in #Computer Vision
Average in #Computer Vision
language-detection Quality
Best in #Computer Vision
Average in #Computer Vision

securitySecurity

  • language-detection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • language-detection code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
language-detection Security
Best in #Computer Vision
Average in #Computer Vision
language-detection Security
Best in #Computer Vision
Average in #Computer Vision

license License

  • language-detection is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
language-detection License
Best in #Computer Vision
Average in #Computer Vision
language-detection License
Best in #Computer Vision
Average in #Computer Vision

buildReuse

  • language-detection 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.
  • Installation instructions are not available. Examples and code snippets are available.
  • language-detection saves you 290885 person hours of effort in developing the same functionality from scratch.
  • It has 280156 lines of code, 318 functions and 158 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
language-detection Reuse
Best in #Computer Vision
Average in #Computer Vision
language-detection Reuse
Best in #Computer Vision
Average in #Computer Vision
Top functions reviewed by kandi - BETA

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

  • method to initialize the data structure
    • init initial parameters
      • Initializes the word dictionary .
        • Calculate the probability of the input text .
          • Load a language profile from an abstract file .
            • removes n_words from freq
              • Normalize a character .
                • Index the text .
                  • add language profile .
                    • Returns the close tag of the tag .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      language-detection Key Features

                      Language detection library for Android

                      language-detection Examples and Code Snippets

                      See all related Code Snippets

                      Download

                      copy iconCopydownload iconDownload
                      git clone git@github.com:rmtheis/language-detection.git
                      

                      Training: Generating language profiles

                      copy iconCopydownload iconDownload
                      cd language-detection
                      mkdir abstracts/profiles
                      java -jar lib/langdetect.jar --genprofile -d language-detection/abstracts an
                      python scripts/genprofile.py -i abstracts/profiles/an > AN.java
                      

                      Maven

                      copy iconCopydownload iconDownload
                      <repository>
                          <id>nitin.public.maven.repository.release</id>
                          <name>Nitin's Public Release Repository</name>
                          <url>https://raw.github.com/nitinverma/public.maven.repository/master/releases/</url>
                          <snapshots>
                              <enabled>false</enabled>
                          </snapshots>
                      </repository>
                      

                      Android settings

                      copy iconCopydownload iconDownload
                      defaultMx="-Xmx2048M" 
                      

                      See all related Code Snippets

                      Community Discussions

                      Trending Discussions on language-detection
                      • Coveralls GitHub Action - Error: Lcov file not found
                      • Is Compact Language Detector 2's detect method thread safe?
                      Trending Discussions on language-detection

                      QUESTION

                      Coveralls GitHub Action - Error: Lcov file not found

                      Asked 2020-Dec-04 at 11:09

                      I am configuring Coveralls using a GitHub Action.

                      I searched but I cannot find how I should be able to generate the ./coverage/lcov.info file.
                      When the action runs, since I don't have such file, I get:

                      Using lcov file: ./coverage/lcov.info  
                      Error: Lcov file not found.
                      

                      I tried running test with Coverage via IntelliJ but the only export I can produce is in HTML format.

                      How can I generate the lcov.info file?

                      Edit - Adding my workflow for reference, as requested in comments

                      # For most projects, this workflow file will not need changing; you simply need
                      # to commit it to your repository.
                      #
                      # You may wish to alter this file to override the set of languages analyzed,
                      # or to provide custom queries or build logic.
                      name: "CodeQL"
                      
                      on:
                        push:
                          branches: [master]
                        pull_request:
                          # The branches below must be a subset of the branches above
                          branches: [master]
                        schedule:
                          - cron: '0 14 * * 4'
                      
                      jobs:
                        analyze:
                          name: Analyze
                          runs-on: ubuntu-latest
                      
                          strategy:
                            fail-fast: false
                            matrix:
                              # Override automatic language detection by changing the below list
                              # Supported options are ['csharp', 'cpp', 'go', 'java', 'javascript', 'python']
                              language: ['java']
                              # Learn more...
                              # https://docs.github.com/en/github/finding-security-vulnerabilities-and-errors-in-your-code/configuring-code-scanning#overriding-automatic-language-detection
                              java: [11]
                      
                          steps:
                          - name: Checkout repository
                            uses: actions/checkout@v2
                            with:
                              # We must fetch at least the immediate parents so that if this is
                              # a pull request then we can checkout the head.
                              fetch-depth: 2
                      
                          # If this run was triggered by a pull request event, then checkout
                          # the head of the pull request instead of the merge commit.
                          - run: git checkout HEAD^2
                            if: ${{ github.event_name == 'pull_request' }}
                      
                          - name: Set up Java JDK
                            uses: actions/setup-java@v1
                            with:
                              java-version: ${{ matrix.java }}
                      
                          # Initializes the CodeQL tools for scanning.
                          - name: Initialize CodeQL
                            uses: github/codeql-action/init@v1
                            with:
                              languages: ${{ matrix.language }}
                              # If you wish to specify custom queries, you can do so here or in a config file.
                              # By default, queries listed here will override any specified in a config file. 
                              # Prefix the list here with "+" to use these queries and those in the config file.
                              # queries: ./path/to/local/query, your-org/your-repo/queries@main
                      
                          # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
                          # If this step fails, then you should remove it and run the build manually (see below)
                          - name: Autobuild
                            uses: github/codeql-action/autobuild@v1
                      
                          # ℹ️ Command-line programs to run using the OS shell.
                          # 📚 https://git.io/JvXDl
                      
                          # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines
                          #    and modify them (or add more) to build your code if your project
                          #    uses a compiled language
                      
                          #- run: |
                          #   make bootstrap
                          #   make release
                      
                          - name: Perform CodeQL Analysis
                            uses: github/codeql-action/analyze@v1
                      

                      ANSWER

                      Answered 2020-Dec-04 at 11:09

                      The same identical configuration works today, I guess some changes were done on the GitHub side.

                      Source https://stackoverflow.com/questions/64209601

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install language-detection

                      You can download it from GitHub.
                      You can use language-detection 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 language-detection 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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