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knayi-myscript
Advanced tools
Readme
Standalone Myanmar languages js library, to build Myanmar Unicode standard web.
knayi.setGlobalOptions({silent_mode: true})
Using npm
npm install knayi-myscript --save
Using yran
yarn add knayi-myscript
Using CDN
<script src="https://unpkg.com/knayi-myscript@latest/dist/knayi-myscript.min.js"></script>
Method Name | Arguments | Return | Note |
---|---|---|---|
fontDetect | content: String(require) , fallbackFontType:, options fontName(options) , options: Object(options) | String | Font Detector, it will detect unicode/zawgyi of the content Text. If nothing is matched or possibility are equal, it will return as 'zawgyi' or specified font type in fallbackFontType, options params. |
fontConvert | content: String(require) ,targetFontType: fontName(require) ,orignalFontType: fontName(optional) | String | Converting font to target font type. This method need spelling fix, so it gonna use spellingFix in default. convertFrom will be detect by fontDetect when you don't described.fontName must be one of unicode or zawgyi . |
syllBreak | content: String(require) ,fontType: fontName(optional) ,breakPoint: String(optional) | String | To make systematic word break of Myanmar text. convertFrom will be detect by fontDetect when you don't described.fontName must be one of unicode or zawgyi . |
spellingFix | content: String(require) ,fontType: fontName(optional) | String | convertFrom will be detect by fontDetect when you don't described. It fix spelling on Myanmar Text.fontName must be one of unicode or zawgyi . |
truncate | content: String(requre) ,options: Object | String | Like lodash.truncate, it truncate word syllable and space. Default truncate length is 30 and you can change it in options.length |
normalize | content: String(requre) | String | Normzliation solve some typing errors. Unlike spellingFix this offer more appropriate way of doing so. But this function can only solve some level of normalization. |
// ES5 Way
var knayi = require('knayi-myscript')
// ES6 Way
import knayi from 'knayi-myscript'
knayi.fontDetect('မဂၤလာပါ') // zawgyi
knayi.fontDetect('မင်္ဂလာပါ') // unicode
knayi.fontConvert('မဂၤလာပါ', 'unicode', 'zawgyi') // မင်္ဂလာပါ
knayi.fontConvert('မဂၤလာပါ', 'unicode') // မင်္ဂလာပါ
knayi.syllBreak('မင်္ဂလာပါ', null, '$$')
// output: 'မင်္ဂလာ$$ပါ'
knayi.syllBreak('မင်္ဂလာပါ')
// output: 'မင်္ဂလာ\u200bပါ'
knayi.spellingFix('မင်္ဂလာာပါါ')
// output: 'မင်္ဂလာပါ'
knayi.truncate('အာယုဝဍ်ဎနဆေးညွှန်းစာကို ဇလွန်ဈေးဘေးဗာဒံပင်ထက် အဓိဋ္ဌာန်လျက် ဂဃနဏဖတ်ခဲ့သည်။', { length: 30, omission: '...' });
// output: "အာယုဝဍ်ဎနဆေးညွှန်းစာကို ဈေး..."
options of truncate
length: Number
default is 30
omission:String
default is '...'
fontType: String
it automatically detect if it not specified
normalize(content)
knayi.normalize('မိြုင်မိြုင်\nဆိုင်ဆုိင်')
// output: မြိုင်မြိုင်\nဆိုင်ဆိုင်
In default, knayi use own logic font dector rules, but you can choose knayi to use googlei18n/myanmartools To do that, set
use_myanmartoolsoption to true. By default
use_myanmartoolsoption is set to
false`.
Example::
// Add options for single process
knayi.fontDetect('မဂၤလာပါ', null, {use_myanmartools: true}) // this will use myanmartools
knayi.fontDetect('မင်္ဂလာပါ') // this will use default
// OR set for whole project
knayi.setGlobalOptions({
detector: {
use_myanmartools: true
}
})
You can also set Probability threshold percentages of zawgyi predicting by
myanmartools_zg_threshold
as [lower, higher]
. Which mean if predicting
result of myanmartools is < 0.05 detector.js assume as unicode or > 0.95
it assume as zawgyi.
knayi.fontDetect('မင်္ဂလာပါ', null, {
use_myanmartools: true,
myanmartools_zg_threshold: [0.05, 0.95]
})
Visit http://tools.kny.co/knayi-myscript#debug-mode and select text to track how converting happened in background.
npm run build
webpack -p
FAQs
Knayi Myanmar languages JavaScirpt library
The npm package knayi-myscript receives a total of 184 weekly downloads. As such, knayi-myscript popularity was classified as not popular.
We found that knayi-myscript 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.
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