Firen Word Generator
| Words | gloss |
|---|---|
| nine hundred sixty-three million, three hundred and forty-five thousand, eight hundred and sixty-six | |
| :plus one, seven three one, four five nine, eight three two five | |
| nine seventy | |
| eight thousand, six hundred three | |
| nine thousand, eight hundred and forty | |
| :nine eight five oh seven | |
| one hundred and forty-three thousand, four hundred and sixty-three | |
| seventy-one fifty-nine | |
| five hundred and eighty-five million, forty-three thousand, sixty | |
| six hundred sixty-seven thousand, one hundred and ninety-five | |
| one hundred and forty-two million, six hundred and forty-seven thousand, four hundred and fifty-three | |
| three thousand, six hundred and fifty | |
| one hundred twenty-seven | |
| forty-eight | |
| seven hundred three thousand, eight hundred and seventy-one | |
| thirty-seven | |
| eighty-five | |
| eight hundred and seventy-one thousand, nine hundred fifty-eight | |
| four hundred and ninety-eight million, three hundred fifty thousand, five hundred twenty | |
| eight hundred seventy-one thousand, one hundred and sixty-five | |
| three thousand, one hundred forty-seven | |
| three hundred one million, three hundred fifty-eight thousand, nine hundred twenty-three | |
| two thousand, three hundred eighty-two | |
| six hundred and seventy thousand, five hundred and sixty-six | |
| six hundred and seventy-four million, eighty-six thousand, eighty | |
| twenty-seven twenty-nine | |
| eight hundred and forty-seven | |
| fifteen forty-nine | |
| four thousand, eight hundred thirty-nine | |
| three | |
| nine hundred and sixty-four million, three hundred forty thousand, nine hundred fifty-nine | |
| :eight zero five, one nine three, six three nine two | |
| seventy-seven thousand, five hundred and twenty-three | |
| six hundred seventy-eight | |
| one hundred and forty-seven million, five hundred fifty-four thousand, three hundred and forty-six | |
| thirty-one million, five hundred seventeen thousand, nine hundred and forty-three | |
| fifty-four thirty-seven | |
| three hundred and ten | |
| forty-seven | |
| one hundred eighty-three million, eight hundred fifty-eight thousand, twenty-two | |
| zero | |
| fifty-seven thousand, eight hundred and nineteen | |
| seventy-one | |
| one hundred and five thousand, two | |
| twenty-five | |
| nineteen twenty-six | |
| sixty | |
| eight hundred and ninety-four thousand, five hundred fifteen | |
| five hundred four million, fourteen thousand, five hundred and seventy-four | |
| two hundred fifty-six | |
| :nine seven one, nine eight nine, one eight two three | |
| ninety-nine | |
| three hundred and fifty-two | |
| one hundred ninety-one thousand, five hundred and seventy-nine | |
| six seventeen | |
| :three one one, one four six, three seven six nine | |
| seventy-five thousand, nine hundred twenty-eight | |
| seven forty-two | |
| eight hundred and ninety-one | |
| twenty-four | |
| thirty-two thirty-three | |
| fifty-four | |
| seven hundred and forty-seven million, ninety-five thousand, five hundred and fifty-three | |
| seventeen thousand, three hundred and thirty-one | |
| three hundred twelve million, six hundred and twenty-nine thousand, four hundred and twenty-one | |
| four hundred twenty-four million, two hundred fifty thousand, seven hundred thirty-one | |
| two hundred and ninety-seven thousand, eighty | |
| seventy-nine fifty-one | |
| eight hundred and forty-nine million, thirty-seven thousand, one hundred thirty-nine | |
| eight ninety-two | |
| eight hundred nineteen million, sixty-one thousand, one hundred and eighty-one | |
| nine | |
| nine hundred and eighty-six | |
| eight hundred nine thousand, nine hundred thirty-seven | |
| eight hundred and seven thousand, five hundred thirty-five | |
| six hundred and sixty-four | |
| five hundred eighty-one thousand, six hundred and seventy | |
| fifteen | |
| :two five one, nine eight four, five four five six | |
| ninety-four million, five hundred and forty-nine thousand, eighty-two | |
| nine hundred and ninety-seven | |
| forty million, two hundred forty-five thousand, seven hundred and one | |
| nine thousand, three hundred and sixty-five | |
| two seventeen | |
| eight hundred and sixty-nine | |
| ninety-three ninety-six | |
| four hundred four | |
| seventy-six thousand, three hundred and twenty | |
| one thirty-one | |
| nine thousand, three hundred and thirty-nine | |
| forty-seven | |
| nine thousand, one hundred and ninety-four | |
| one hundred fifty-four | |
| :seven three two, five seven seven, five six three six | |
| six fifteen | |
| :two six two, six five two, four seven four three | |
| :four | |
| four hundred and ninety-two million, seven hundred and seventy-four thousand, seven hundred twenty-eight | |
| forty-nine | |
| one seventy-five |
Process returned 0
Utility Functions: Clear, Permalink
Noteworthy nodes in each datafile include:
| Language | Datafile name | Root nodes (Click a root to generate from it) | Remarks |
|---|---|---|---|
| Firen | syllables.yml | Sentence, Noun, Verb, NominalRoot, VerbalRoot, | More information about Firen can be found on the Wiki. |
| Sajem Tan | sajemtan.yml | Word, Root, Suffix, UnlikelyWord, UnlikelyRoot, UnlikelySuffix, | Sajem Tan is a collaborative conlang. It has a website here. |
| English | english.yml | Sentence, | My (possibly poorly-considered) attempt to encode basic English grammar in WordGen. I apologise in advance to anyone who tries to make sense out of it. |
| Dab vi Suxi Kidap | ffb.yml | Sentence, Word, Compound, Syllable, | DVSK is a very simple isolating language that was created as a collaboration between me and 4 other people from the Sajem Tan tribe, however it was abandoned after working out the foundations. |
| Xanz | xanz.yml | word, tricons, root, word1, | Another collaborative language in the Sajem Tan universe. It is the source of triconsonantal roots in Sajem Tan. |
| Jafren | jafren.yml | Sentence, Word, ChordL, Chord, Chord1, Chord2, Chord3, Chord4, Chord5, | A musical language used in the same setting as Firen. It is currently much less well-developed. |
| Jokes | jokes.yml | Gender, | Someone on Mastodon posted a silly CFG for making gender jokes, so I encoded it as a WordGen datafile. Nothing more to it. |
| Numbers | numbers.yml | number, phoneNumber, internationalPhoneNumber, | This is one of the first files I ever wrote, and it shows. It makes use of outdated and deprecated features of WordGen and made the very questionable choice of using 'val' for a phonetic English reading of the number and 'ipa' for the digits. |
| Tests | CFGs.yml | Dyck, binPalindrome, Node, | This file exists as a testing ground for things that are
too simple to need their own files, and for new or experimental
features. You will need to uncrease the recursion depth to use some of
these roots, particularly Node or else
get a million errors. |
Note that CFGs.yml is not allowed on this web interface due to higher resource use than the other files and its reliance on WordGen/Cpp features.
Feel free to look at the sources for WordGen/Py and WordGen/Cpp.
wordgen.py is the current version of the script, and
syllables.yml is the current version of the Firen data file.
This is the web frontend for a Python program that will produce random words using a (rather nifty) weighted-randomized macro expansion approach. IPA transcriptions are generated from the same file, and are not directly attached to the orthography. This means that "digraph recognition" is not even a concept to worry about.
In a second phase, regular expressions and Mealy-type finite state machines are applied to transform the output.
The Firen datafile is generally quite well-developed, and produces generally good results. The IPA transcriptions are sometimes non-obvious because they include synchronic sound changes, and sometimes unnatural but generally still correct, such as with the overzealous syllabification.
The other datafiles are in various stages of development.
Not that it matters or anything, but unless you provide your own seeds, this web frontend has worse randomness because it is simply using Unix time as the seed. (It's required that the server generates the seed for the permalink to work, and time is the standard easy choice for these things.) When run from the command line without an explicit seed parameter, the randomness is much better (Python seeds its random generator from the system's main entropy source). Maybe I could make this Base64-encode some bytes from /dev/urandom or something for the seed instead, it wouldn't change too much.
Working-1.py is a less flexible earlier (Python 2 only) draft,
which technically knows nothing about words, and only generates syllables.
You may find it interesting or even useful. syllables1.yml is
the data file for that version. The two versions are not compatible, but
are mostly similar and a single file could in theory be agnostic between
them.
Once this is "done", my next plan is to implement something with Markov chains, the more classical way to generate natural language.
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