Security News
Weekly Downloads Now Available in npm Package Search Results
Socket's package search now displays weekly downloads for npm packages, helping developers quickly assess popularity and make more informed decisions.
articulate-nlg
Advanced tools
A natural language generator (NLG) that articulates concepts as words, phrases, and sentences.
Read the official documentation.
This package allows you to define personas that have a vocabulary which define how to generate varying, coherent text.
If this project helped you, please consider buying me a coffee or sponsoring me. Your support is much appreciated!
npm i articulate-nlg
import { Persona } from "articulate-nlg";
In short:
One you construct a Persona
, call articulate("conceptName")
on the persona to generate text for that concept!
See the example below:
import { Persona } from "articulate-nlg";
class Dog extends Persona {
createVocab = () => {
// Persona helper functions, for convenience.
const say = this.say;
const capitalize = this.capitalize;
const capSay = this.capSay;
const choose = this.choose;
const chance = this.chance;
const cycle = this.cycle;
const param = this.param;
const ifElse = this.ifElse;
// Return an object containing strings mapped to functions,
// which return the text.
return {
greet: () => choose("woof", "bark", "sniff sniff", "wag tail"),
master: () =>
ifElse("name", capitalize(param("name")), "bringer of food"),
emoji: () =>
cycle({ group: "emoji" }, "👅", "🐶", "🐾", "💩", "🐩", "🐕"),
// This concept cross-references greet, master, and emoji using say().
welcomeHome: () =>
capSay("greet") +
"! Welcome home, " +
say("master") +
"! " +
say("emoji")
};
};
// Create and set the vocab for Dog.
vocab = this.createVocab();
}
// Create "max", a new Dog persona.
let max = new Dog();
console.log(max.articulate("welcomeHome"));
// This will generate text like following:
// Sniff sniff! Welcome home, bringer of food! 🐾
// Woof! Welcome home, bringer of food! 👅
// Wag tail! Welcome home, bringer of food! 💩
// Etc.
// This will articulate the "greet" concept.
console.log(max.articulate("greet"));
// "woof", "bark", "sniff sniff", or "wag tail"
// If you reference a concept that's not understood, you'll get
// an empty string back and a warning will be printed.
console.log(max.articulate("meow"));
// ""
// Params can be used in the vocab, too. Here, the "master"
// concept uses a name if provided.
console.log(max.articulate("master", { name: "justin" }));
// "Justin"
console.log(max.articulate("welcomeHome", { name: "justin" }));
// Sniff sniff! Welcome home, Justin! 🐩
// And if not provided, can fall back on a default using the
// ifElse helper. See the function value for master above.
console.log(max.articulate("master"));
// "bringer of food"
The following helper functions are available in the Persona
class. Use these to aid in generating interesting results when defining a vocabulary.
say
say (vocabKey: string): string
Articulates the concept with the vocab key provided. This function will generate the text for that vocab key.
capitalize
capitalize (text: string | () => string | {t: string | () => string, w: weight}): string
Capitalizes the first letter of the provided text.
sb
sb (text: string | () => string | {t: string | () => string, w: weight}): string
Returns the provided text with a space before it.
sa
sa (text: string | () => string | {t: string | () => string, w: weight}): string
Returns the provided text with a space after it.
sba
sba (text: string | () => string | {t: string | () => string, w: weight}): string
Returns the provided text with a space before and after it.
capSay
capSay (vocabKey: string): string
Convenience function that calls capitalize(say(vocabKey))
to both articulate a concept and then capitalize the resulting text.
choose
choose (...texts: (string | () => string | {t: string | () => string, w: weight})[]): string
Chooses one of the the provided texts or functions at random. Weights can be specified in the format {t: text or function, w: weight}
, or by using the weighted()
function (recommended). Weights default to 1
if not specified.
Along with say()
, this function is at the heart of this NLG library.
If you pass a function, the function will be called and returned as a string. Using functions can significantly speed up articulation as text resolution will be deferred until the moment the text is needed.
Using functions is overkill for lower-level concepts. I recommend using functions for higher-level concepts (which nest lots of calls to choose()
), and that you use function shorthand.
For example, this concept is slower because each choose()
call is resolved before making the actual choice:
myConcept: choose(
choose(...),
choose(...),
...
)
And this concept is faster because the functions defer the individual choose()
calls until after the choice is made:
myConcept: choose(
() => choose(...),
() => choose(...),
...
)
weighted
weighted (text: string | () => string, weight: number = 1): {t: text, w: weight}
Convenience function that returns an object with the text (or function) and weight, for use with the choose()
and cycle()
functions. The returned object will be in the format {t: text or function, w: weight}
. If you pass a function, it must return a string.
Weights default to 1
if not specified.
chance
chance (text: string | () => string, chance: number): string
Return the provided text given the chance provided, from 0
to 1
, or empty string otherwise.
For instance, a chance of 0.8
would mean an 80% chance the provided text was returned, and a 20% chance of empty string.
If the value provided is a function, that function will be called and its string return value would be returned if chosen.
cycle
cycle (group: {group: name}, ...texts: (text: string | () => string | {t: string | () => string, w: weight})[]): string
Uses choose()
to randomly select one of the provided texts, but ensures that the selected item is not repeated until all remaining items have been chosen. Items can be weighted, and can be functions that return strings.
The first argument is an object containing a group name for the items you'd like to cycle: {group: name}
Use this function to keep a degree of randomness while ensuring the text doesn't repeat too often.
maybe
maybe (text: string | () => string | {t: string | () => string, w: weight}): string
Returns the text provided 50% of the time, and empty string 50% of the time.
You can pass multiple texts. In that case, there's a 50% chance of empty string, or one of your texts being chosen using choose()
. Texts can either be a string, weighted, or a function that returns a string.
param
param (paramKey: string): string
Returns text for the value of the param key provided. The param value can be a string, function, number, etc.
Param functions must return a string. If the param value is not a string or function, it is concatenated with ""
and returned as a string.
ifThen
ifThen (paramKey: string, then: (text: string | () => string)): string
Returns the provided then
text if the value of the param key is truthy, and returns empty string otherwise.
ifNot
ifNot (paramKey: string, then: (text: string | () => string)): string
Returns the provided then
text if the value of the param key is falsy, and returns empty string otherwise.
ifElse
ifElse (paramKey: string, then: (text: string | () => string), otherwise: (text: string | () => string)): string
Returns the provided then
text if the value of the param key is truthy, and returns the otherwise
string otherwise.
doFirst
doFirst (paramTextPairs: {p: paramKey, t: string | () => string}[], defaultText: (string | () => string) = ""): string
Returns the text for the first param value that is truthy, or the default text if none are. defaultText
is optional and defaults to empty string.
Use this to avoid deeply nested ifElse()
calls.
Text values can be either strings or functions that return strings.
render
render (val: any): string
Renders the provided value as a string.
t
will be recursively rendered and returned.This function is called on all texts for the other helper functions and is included mainly for reference. You likely won't need to call it directly.
Type definitions have been included for TypeScript support.
Favicon by Twemoji.
Open source software is awesome and so are you. 😎
Feel free to submit a pull request for bugs or additions, and make sure to update tests as appropriate. If you find a mistake in the docs, send a PR! Even the smallest changes help.
For major changes, open an issue first to discuss what you'd like to change.
If you found this project helpful, let the community know by giving it a star: 👉⭐
See LICENSE.md.
FAQs
A natural language generator (NLG) that articulates concepts as words, phrases, and sentences.
The npm package articulate-nlg receives a total of 9 weekly downloads. As such, articulate-nlg popularity was classified as not popular.
We found that articulate-nlg demonstrated a healthy version release cadence and project activity because the last version was released less than 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.
Security News
Socket's package search now displays weekly downloads for npm packages, helping developers quickly assess popularity and make more informed decisions.
Security News
A Stanford study reveals 9.5% of engineers contribute almost nothing, costing tech $90B annually, with remote work fueling the rise of "ghost engineers."
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.