similar-persian-words
pre-calculated list of similar Persian words ordered by rating and best match.
Install
npm:
npm install similar-persian-words
Use
var { similarity } = require('similar-persian-words')
console.log(similarity("شهر"));
if finding similarity was successful will return :
{
total: 261,
words: [
{ word: 'اشهر', rating: 0.8 },
{ word: 'بشهر', rating: 0.8 },
{ word: 'شهرب', rating: 0.8 },
{ word: 'شهرت', rating: 0.8 },
{ word: 'شهرخ', rating: 0.8 },
{ word: 'شهرد', rating: 0.8 },
{ word: 'شهرق', rating: 0.8 },
{ word: 'شهرک', rating: 0.8 },
{ word: 'شهرگ', rating: 0.8 },
{ word: 'شهرو', rating: 0.8 },
{ word: 'شهرة', rating: 0.8 },
{ word: 'شهره', rating: 0.8 },
{ word: 'شهری', rating: 0.8 },
{ word: 'نشهر', rating: 0.8 },
{ word: 'هرشه', rating: 0.8 },
{ word: 'مشهر', rating: 0.8 },
{ word: 'آق شهر', rating: 0.6666666666666666 },
{ word: 'اشهری', rating: 0.6666666666666666 },
{ word: 'برشهر', rating: 0.6666666666666666 },
{ word: 'بوشهر', rating: 0.6666666666666666 },
{ word: 'بهشهر', rating: 0.6666666666666666 },
{ word: 'بی شهر', rating: 0.6666666666666666 },
{ word: 'درشهر', rating: 0.6666666666666666 },
{ word: 'دمشهر', rating: 0.6666666666666666 },
{ word: 'ری شهر', rating: 0.6666666666666666 },
// …and many more
],
bestMatch: { word: 'اشهر', rating: 0.8 }
}
if finding similarity is not successful will return "undefined"
API
anObjectOfSimilarPersianWords
object.<array|object> — List of all similar words with rating in "words" array , best match word in "bestMatch" object.
CLI
Install the CLI globally:
npm i -g similar-persian-words
Usage: persiansimilarwords persian word to get similarty
persiansimilarwords آذر
Use --help for more info :
Options:
--version Show version number [boolean]
-r, --raw return raw data [boolean]
-w, --words return words list [boolean]
-l, --limit limit words display [number]
-s, --string return word string [boolean]
--help Show help [boolean]
NOTICE
this library is heavy in size (around 3GB of JSON data for similarity db)
all of the data for this library is pre-calculated therefore the size of this library is large
because of that memory and CPU usage is very low and finding data is very fast but disk usage is high
using compression and decompression is defeating the purpose of precalculation of data
3 Mar 16, 2022
15 Dec 26, 2022
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4 Mar 20, 2023
2 Jan 21, 2022
11 Dec 22, 2022
305 Nov 23, 2022
6 Nov 7, 2022
2 Jun 13, 2022
9 Oct 8, 2022