Package com.github.yellowstonegames.text
package com.github.yellowstonegames.text
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ClassDescriptionA text generator for producing sentences and/or words in nonsense languages that fit a theme.A simple way to bundle a Language with the arguments that would be passed to it when calling
Language.sentence(EnhancedRandom, int, int, String[], String[], double, int)or one of its overloads.A simple Markov chain text generator; callMarkovChar.analyze(CharSequence)once on a large sample text, then you can callMarkovChar.chain(long)many times to get odd-sounding "remixes" of the sample text, one char at a time.A simple Markov chain text generator; callMarkovText.analyze(CharSequence)once on a large sample text, then you can callMarkovText.chain(long)many times to get odd-sounding "remixes" of the sample text.A simple Markov chain text generator; it is called "Limited" because it only can be used as an order-1 Markov chain, meaning only one prior word is looked at.Helps handle formation of messages from a template, using correct pronouns and helping handle various idiosyncrasies in English-language text.Undocumented; use at your own peril.A utility class to print (typically very large) numbers in a way that players can more-meaningfully tell them apart.A class for generating random monster descriptions; can be subclassed to generate stats for a specific game.A creature that can be mixed with other Chimeras or given additional descriptors, then printed in a usable format for game text.Based on work by Nolithius available at the following two sites: GitHub for weighted-letter-namegen Google Code for weighted-letter-namegenProperties of nouns needed to correctly conjugate those nouns and refer to them with pronouns, such as genders.Estimates how different two String inputs are.A text processing class that can swap out occurrences of special keywords and replace them with randomly-selected synonyms.Class that builds up a dictionary of words in an English-language source text to words generated by aLanguage, and can translate a source text to a similarly-punctuated, similarly-capitalized fake text; it will try to use variants on the translation of the same root word when it encounters conjugations of that root word or that root word with common English prefixes/suffixes.