elasticsearch-russian-phonetics | Elasticsearch plugin for Russian Phonetic Analysis

by papahigh Java Version: Current License: Apache-2.0

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

kandi X-RAY | elasticsearch-russian-phonetics Summary

elasticsearch-russian-phonetics is a Java library. elasticsearch-russian-phonetics has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

This plugin provides phonetic analysis of Russian language by exposing russian_phonetic token filter which transforms russian words to their phonetic representation or so-called phonetic code. These codes are used for matching words and names which sound similar. The process of transformation is also known as phonetic encoding and this plugin is able to encode millions of russian words per second with the lowest impact on GC among all encoders compared in encoding throughput benchmarks. Encoding algorithm extensively employs phonetic and orthographic rules in order to fill the inconsistency gap between spelling and pronunciation in Russian Language. You can find more information about encoding process at the encoding rules and unit tests.

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Quality

Security

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Reuse

Support

elasticsearch-russian-phonetics has a low active ecosystem.

It has 12 star(s) with 5 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 2 have been closed. On average issues are closed in 3 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of elasticsearch-russian-phonetics is current.

Quality

elasticsearch-russian-phonetics has 0 bugs and 0 code smells.

Security

elasticsearch-russian-phonetics has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

elasticsearch-russian-phonetics code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

elasticsearch-russian-phonetics 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.

Reuse

elasticsearch-russian-phonetics 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, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Create plot files
Creates a string encoder with the given name
Calculates stats for a dictionary
Resolves the location path
Increment the token
Encodes the given input buffer into the output buffer
Main entry point
Loads a dictionary from the given location
Encode a vowel
Calculates the dictionary stats
Picks up the current input character
Dispatches encoding context
Compares two CharBuffer objects

Get all kandi verified functions for this library.

elasticsearch-russian-phonetics Key Features

No Key Features are available at this moment for elasticsearch-russian-phonetics.

elasticsearch-russian-phonetics Examples and Code Snippets

No Code Snippets are available at this moment for elasticsearch-russian-phonetics.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install elasticsearch-russian-phonetics

In order to install the plugin, choose a version and run:. where URL points to zip file of the appropriate release which corresponds to your elasticsearch version. E.g., command for Elasticsearch 7.6.2. After installation plugin exposes new token filter named russian_phonetic.
You can start using the russian_phonetic token filter by providing analysis configuration:. Then you should be able to hit the analyzer with russian_phonetic token filter using the analyze API. Returns: стднк, студентка, кмсмлк, комсомолка, спрцмнк, спортсменка.