spell_correct | English word spelling correction program | Natural Language Processing library

 by   amarjeetanandsingh Java Version: Current License: GPL-3.0

kandi X-RAY | spell_correct Summary

kandi X-RAY | spell_correct Summary

spell_correct is a Java library typically used in Artificial Intelligence, Natural Language Processing applications. spell_correct has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However spell_correct build file is not available. You can download it from GitHub.

It implements Ternary Search Tree (TST) data structure and Levenshtein Distance(LD) algorithm to suggest a list of 10 related english words sorted by Edit Distance (asc) (default-max : 3) followed by frequency(desc) of entered word in english language.

            kandi-support Support

              spell_correct has a low active ecosystem.
              It has 29 star(s) with 4 fork(s). There are 2 watchers for this library.
              It had no major release in the last 6 months.
              spell_correct has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of spell_correct is current.

            kandi-Quality Quality

              spell_correct has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              spell_correct 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

              spell_correct releases are not available. You will need to build from source code and install.
              spell_correct has no build file. You will be need to create the build yourself to 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 spell_correct and discovered the below as its top functions. This is intended to give you an instant insight into spell_correct implemented functionality, and help decide if they suit your requirements.
            • Start the spell test
            • Correct the input word
            • Gets the sorted hash map for the given input word
            • Returns the edit distance between two strings
            • Creates the tree from the input
            • Set the equal node to be equal
            • Get word list file
            • Recursively insert a word
            • Compares two PQElement
            • Gets the frequency
            • Initialize the FXML component
            • Search for a word starting at the specified position
            • Set the limit of suggested word list
            • The main method
            • Get the edit distance
            • Get the SRID number
            • Returns the word
            • Set the edit distance
            • Set the Service Number
            • Set the current word
            Get all kandi verified functions for this library.

            spell_correct Key Features

            No Key Features are available at this moment for spell_correct.

            spell_correct Examples and Code Snippets

            No Code Snippets are available at this moment for spell_correct.

            Community Discussions


            How to efficiently use spell correction for a large text corpus in Python
            Asked 2020-Jul-09 at 08:13

            Consider the following for spell-correction:



            Answered 2020-Jul-09 at 08:13

            As @khelwood said in the comments, you should use autocorrect.Speller:

            Source https://stackoverflow.com/questions/62809934


            Google Cloud ML FAILED_PRECONDITION
            Asked 2017-Mar-20 at 14:01

            I am trying to use Google Cloud ML to host a Tensorflow model and get predictions. I have a pretrained model that I have uploaded to the cloud and I have created a model and version in my Cloud ML console.

            I followed the instructions from here to prepare my data for requesting online predictions. For both the Python method and the glcoud method I get the same error. For simplicity, I'll post the gcloud method:

            I run gcloud ml-engine predict --model spell_correction --json-instances test.json where test.json is my input data file (a JSON array named instances). I get the following result:



            Answered 2017-Mar-14 at 01:43

            A side note: did you try "local predict" (https://cloud.google.com/sdk/gcloud/reference/ml-engine/local/predict) with your model first? You might be able to get more information there first.

            Source https://stackoverflow.com/questions/42765968

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


            No vulnerabilities reported

            Install spell_correct

            You can download it from GitHub.
            You can use spell_correct 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 spell_correct 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 .


            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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            gh repo clone amarjeetanandsingh/spell_correct

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