cldrpluralparser
Advanced tools
Node commandline application to find out the plural form for a given number in a language by parsing CLDR plural form rules.
git clone https://github.com/santhoshtr/CLDRPluralRuleParser.git
Unlike English, for many languages, the plural forms are just not 2 forms.
If you look at the CLDR plural rules table
you can easily understand this. The rules are defined in a particular syntax
(an eg: for Russian, the plural few is applied when the rule
"n mod 10 in 2..4 and n mod 100 not in 12..14;" is passed).
This tool is a demonstration of a javascript parser for the plural rules in that syntax.
For a given number in a language, this tool tells which plural form it belongs. The plural rules are taken from the CLDR data file
Demonstration of the javascript parser at: http://thottingal.in/projects/js/plural/demo/
Open up ./test/index.html in your browser.
FAQs
Node commandline application to find out the plural form for a given number in a language by parsing CLDR plural form rules.
The npm package cldrpluralparser receives a total of 40 weekly downloads. As such, cldrpluralparser popularity was classified as not popular.
We found that cldrpluralparser demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.