@tunebond/read
v1.0.0
Published
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Overview
Read Text uses the Latin script with diacritics to encode most of Earth's natural language features, enough so that you can write every language using the same Latin-oriented system and be close enough to a realistic pronunciation, including nasalized vowels, tense consonants, clicks, and tones, amongst other things. All of the symbols are shown large and on the left of each box in the tables below.
In addition to a compact "Latin script with diacritics" version, there is also an ASCII version suitable for writing on a traditional keyboard. This is shown in a faint color in the upper right of each box in the tables below. It is also clearly mapped out in the source code as well.
Ease Read
This is the simplified, diacritic-free version of Read Text, as demonstrated with these example words. Since it is so minimal, it is much easier for an English speaker to read, hence calling it the Ease Read Text. It's not perfect, but it gets the job done.
| english | ascii | simplified |
| :--------- | :----------- | :---------- |
| think | ciqk
| theenk |
| these | Ciz
| zheez |
| brother | brUCu$
| bruzher |
| bend | bEnd
| bend |
| date | det
| daet |
| cat | kAt
| kaat |
| father | faCu$
| fazher |
| eventually | UvE^ntxOli
| uvenchuulee |
| cool | kul
| kool |
| lately | letli
| laetlee |
| koala | kOwalU
| kuuwaluh |
| creature | kritxu$
| kreecher |
The simplified version is meant to be readable if you have some degree of English intuition, but it's not meant to be perfect like it would represent the words in English.
import read from '@tunebond/read'
read.ease('brUCu$') // => 'bruzher'
You can combine this with
@tunebond/text
to start from
native writing systems, and using that library convert to Call Text
ASCII, then simplify the ASCII into a somewhat readable form!
import text from '@tunebond/text'
import read from '@tunebond/read'
read.read(text.tibetan.read(someTibetan))
Flow Read
This is the more rich formatting of the ASCII characters, using diacritics and trying to keep things relatively minimal while still being reasonably accurate with pronunciation. That is why we call it Flow Read Text.
| ascii | simplified |
| :--------------- | :----------- |
| txaando^
| txaandȯ |
| surdjyo^
| surdjyȯ |
| Ha$!a$@!^rijE
| ḥa̱̖ȧ̱̤̖rıjẹ |
| H!u&_^th~
| ḥ̖ṵ̄̇tḩ |
| eT!e_^mu
| eṭ̖ē̇mu |
| txya@+a-a++u
| txyà̤áȁu |
| hwpo$kUimUno$s
| hwpo̖kụımụno̖s |
| sinho^rEsi
| sınhȯrẹsı |
| batoo'aH
| batoo'aḥ |
| batoo'aHh!
| batoo'ah̥ |
| aiyuQaK
| aıyuq̇aḳ |
import read from '@tunebond/read'
read.flow('eT!e_^mu') // => 'eṭ̖ē̇mu'
Syllables and Pronunciation
Using the library, you can also count the number of syllables in a word, and convert IPA text into ASCII Call Text.
import read from '@tunebond/read'
read.talk('kxɯʎʎikʰa̠da̠') // => 'kHOly~ly~ikh~a@da@'
read.mark('kHOly~ly~ikh~a@da@') // => { size: 4 }
Tone Text
You can also transform Read Text into Tone Text by writing it in ASCII, and running it through the tone text code, which is freely available and open source there.
import tone from '@tunebond/tone'
// make it for the font.
tone.make('a+a+si-kiri-imu-') // => 'a3a3si4kiri4imu4'
License
Copyright 2021-2023 TuneBond
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
TuneBond
This is being developed by the folks at TuneBond, a California-based project for helping humanity master information and computation. TuneBond started off in the winter of 2008 as a spark of an idea, to forming a company 10 years later in the winter of 2018, to a seed of a project just beginning its development phases. It is entirely bootstrapped by working full time and running Etsy and Amazon shops. Also find us on Facebook, Twitter, and LinkedIn. Check out our other GitHub projects as well!