A simple Markov Chain text generator developed in Node.JS.
npm install markov-chain-mlg
The code can be required by using require('markov-chain-mlg'). From there, any of the following methods, listed below, can be used to generate text.
Usage: chain.train (data: Array of String, shouldBackoff: boolean)
Purpose: Trains the Markov Chain. The data should be various sentences the chain should be trained on. This must be called at least once before any text can be generated.
Arguments:
data: The data to train the generator on. More data will provide more accurate results.
shouldBackoff: A flag to determine if the generator should perform a backing off process or not. See BACKING OFF, which will be described in detail later.
Returns: None; work will be done in the chain's data.
Usage: chain.trainTxt (filepath: String, split: String)
Purpose: Trains the Markov Chain Generator on data from a file. Split should be some value to split the text on; by default, will split on new lines.
Arguments:
filepath: A path to the file to use for training.
split: A character/characters to split the file data on. Defaults to '\n'
Returns: None; work will be done in the chain's data.
Usage: chain.generate(maxLength : int) : String
Purpose: Generates a new line of text.
Arguments:
maxLength: The maximum number of words to be generated. This is an upper bound & the result may be shorter than this.
Returns: A string representing the sequence of words that was generated.
By default, the Markov Chain generator will determine the next word to be generated based on the previous 5 words generated. For example, if the current sequence is "This is an example result of the Markov", then the next word will be determined based on the sequence "example result of the Markov".
This generates more accurate results, but can often lead to copy-and-paste results - if only a single option can be found for the sequence, then it will choose that option. This is mediated by the Backing Off process, which will generate instead based off the last 4 words, last 3 words, ..., until a number of selections can be found.
In short, backing off will generate less accurate results but with a variety of results; not backing off will provide more accurate results at the risk of few variations.
const MarkovChain = require('markov-chain-nlg');
MarkovChain.train (["Testing testing testing", "Even more testing", "A final test"], true);
console.log (MarkovChain.generate (10));const MarkovChain = require('markov-chain-nlg');
MarkovChain.trainTxt ("some-path/some-text-file.txt", "\n").then (() => {
MarkovChain.trainTxt ("some-path/some-other-text-file.txt", "\n").then (() => {
console.log (MarkovChain.generate (150));
});
});