Firen Word Generator
| Words | gloss |
|---|---|
| :seven four seven, one eight one, six five seven four | |
| forty-two | |
| :four zero three, zero two seven, zero nine eight four | |
| three hundred ninety-three thousand, thirty-one | |
| nine hundred and twenty-four million, two hundred and sixty-four thousand, seven hundred fifteen | |
| five hundred and seventy-nine million, eight hundred five thousand, nine hundred seventy-seven | |
| one hundred seventy-one million, two hundred thirty-six thousand, seven hundred and nine | |
| one hundred and thirty-six | |
| two thousand, seven hundred and sixty-three | |
| ninety | |
| one | |
| twenty-three | |
| :eight two eight, one seven nine, two six one five | |
| twenty million, seven hundred and twenty-three thousand, seven hundred and seventy-four | |
| eight hundred forty-five thousand, eighty-three | |
| sixty-seven | |
| four twenty-three | |
| thirty-five ninety-six | |
| two hundred eight thousand, five hundred fifty-three | |
| eight hundred forty-four thousand, six hundred eighty-five | |
| sixty-one | |
| eight hundred thirteen million, four hundred and twenty-seven thousand, three hundred ninety-nine | |
| three thousand and seventy-five | |
| nine hundred and thirty-two thousand, six hundred eighty-four | |
| thirty-five million, five hundred twenty-one thousand, one hundred and sixty-three | |
| thirteen | |
| eight thousand, one hundred forty | |
| nine hundred forty-five thousand, two hundred forty-four | |
| three hundred thirty-seven thousand, six hundred forty-one | |
| :four five five, three five one, two zero six zero | |
| :nine four zero, four four zero three | |
| :two four seven, one seven three, seven zero nine nine | |
| two hundred forty-three | |
| five twelve | |
| :four nine three, six one three, four two five four | |
| :nine five six, one three seven, four nine four four | |
| ninety-three | |
| two hundred twenty-six thousand, three hundred twenty-four | |
| :plus one, one six seven, zero five four, eight three five seven | |
| seven thousand, six hundred and forty-two | |
| nine hundred ninety-six thousand, forty-two | |
| one hundred and thirty-four million, fifteen thousand, one hundred eighty-eight | |
| twenty-one | |
| thirty-eight | |
| five hundred and fifty-one thousand, nine hundred eighty-eight | |
| seventy-four twenty-six | |
| six thousand, three hundred and thirty-eight | |
| one hundred twelve thousand, eight hundred and seventy | |
| three ninety-three | |
| nine ninety | |
| sixty-two seventy-nine | |
| ninety-four | |
| thirty-six | |
| eight hundred and seventy-seven | |
| nine hundred and sixty-two million, three hundred and ninety-two thousand, nine hundred and seventy-three | |
| one hundred and fifty-one thousand, nine hundred and fifty-six | |
| one hundred and sixty-five thousand, four hundred sixty-seven | |
| :nine nine two six three one three seven one | |
| five hundred seventy-four thousand, eight hundred fifty | |
| thirty-three | |
| nine hundred and ten million, six hundred and sixty-eight thousand, six hundred eighty-five | |
| eighty-six | |
| seven hundred and fourteen | |
| six hundred and sixty-eight | |
| six forty-four | |
| four thousand and twenty-four | |
| four hundred and sixty-three million, five hundred three thousand, six hundred ninety-one | |
| thirty-nine | |
| :zero two three, eight five six, three seven six zero | |
| one hundred and thirteen thousand, eight hundred eighty-six | |
| forty-eight | |
| five hundred and forty-two thousand, two hundred and sixteen | |
| nine hundred twenty-nine thousand, five hundred and thirty | |
| four hundred and twenty-one thousand, eight hundred and fifty | |
| eight hundred and seventy-one million, four hundred eighty-two thousand, nine hundred seventy-seven | |
| two hundred and eighty-six million, ninety-seven thousand, sixteen | |
| eighty-five | |
| :two eight seven, nine five nine, three two seven eight | |
| nine sixty-eight | |
| seven hundred ninety-four | |
| three hundred twelve million, five hundred eighty-seven thousand, four hundred sixty-four | |
| three hundred fifteen million, six hundred and seventy-four thousand, one hundred and seven | |
| eight hundred and forty-one million, forty-four thousand, two | |
| fourteen sixty-six | |
| fifty-two | |
| eight hundred and fourteen | |
| eighty-five | |
| twenty-two | |
| eight sixty-one | |
| :plus one, three four one, nine four zero, zero four six five | |
| sixty-five thousand, one hundred and twelve | |
| one hundred and ninety-two thousand, nine hundred and forty-four | |
| thirty-eight sixty-six | |
| forty-three | |
| six hundred fifty-three | |
| nine hundred and eighty thousand, one hundred and seventeen | |
| three hundred and thirty | |
| six hundred sixteen million, seventy-five thousand, three hundred fifty | |
| eight hundred eighty-one thousand, six hundred and eighty-three | |
| :nine six eight, three eight zero, nine one three nine |
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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