Firen Word Generator

Words: (Limit 250)
Show IPA:
Show glosses:
Show old orthography: (Sajem Tan only)
Show original IPA: (Sajem Tan only)
Show Ðab Tan: (Sajem Tan only)
Show Ðab Tan IPA: (Sajem Tan only)
Show ABC notation: (Jafren only)
Show alphabetical notation: (Jafren only)
Datafile:
Root Node:
Show All Options:

WordsGloss
tupíft_p_f/active-DIR
etá'wenFROM-t_'_w/agentive-LOC
lañhzil_s_z/passive-GEN
áwjyliTO-w_j_l/patient-GEN
exafisFROM-x_f_s/habitual-DIR
esathipFROM-s_th_p/habitual-DIR
álupingdTO-l_p_g/active-LOC
áthudíthTO-th_d_th/active-DIR
edutingiFROM-d_t_g/active-GEN
eku'ingiFROM-k_'_g/active-GEN
kezzik_z_z/patient-GEN
ákáffenTO-k_f_f/agentive-LOC
thanhfith_t_f/passive-GEN
feggf_g_g/patient-DIR
epwygFROM-p_w_g/patient-DIR
áxakitiTO-x_k_t/habitual-GEN
epáwesdFROM-p_w_s/passive-LOC
thudinth_d_d/active-DIR
áfupiñTO-f_p_z/active-DIR
ezanethiFROM-z_d_th/passive-GEN
ethuxífiFROM-th_x_f/active-GEN
añha'i'dTO-s_'_'/habitual-LOC
bafigenb_f_g/habitual-LOC
ezajidFROM-z_j_d/habitual-DIR
áwanwenTO-w_d_w/agentive-LOC
jetlenj_t_l/patient-LOC
fati'f_t_'/habitual-DIR
kangxdk_g_x/agentive-LOC
dájfid_j_f/agentive-GEN
damfed_b_f/agentive-DIR
edu'ífiFROM-d_'_f/active-GEN
eza'isdFROM-z_'_s/habitual-LOC
kuthiñhik_th_s/active-GEN
añáfebiTO-z_f_b/passive-GEN
edáfthenFROM-d_f_th/agentive-LOC
bájgb_j_g/passive-DIR
ebufílFROM-b_f_l/active-DIR
ájáxkiTO-j_x_k/agentive-GEN
álukinTO-l_k_d/active-DIR
á'lykdTO-'_l_k/patient-LOC
áwangkiTO-w_g_k/agentive-GEN
táthfit_th_f/passive-GEN
epuzíjiFROM-p_z_j/active-GEN
angu'inhiTO-g_'_t/active-GEN
áxadikdTO-x_d_k/habitual-LOC
amhusífTO-p_s_f/active-DIR
e'upí'dFROM-'_p_'/active-LOC
esáthdenFROM-s_th_d/agentive-LOC
amutinhiTO-b_t_t/active-GEN
e'usí'FROM-'_s_'/active-DIR
áfthysTO-f_th_s/patient-DIR
esadifdFROM-s_d_f/habitual-LOC
epákdenFROM-p_k_d/agentive-LOC
ewaxiwFROM-w_x_w/habitual-DIR
lesdenl_s_d/patient-LOC
amá'feTO-b_'_f/agentive-DIR
amhangesiTO-p_g_s/passive-GEN
xaxibix_x_b/habitual-GEN
dazisid_z_s/habitual-GEN
fafikenf_f_k/habitual-LOC
áku'iñiTO-k_'_z/active-GEN
deth'd_th_'/patient-DIR
jellj_l_l/patient-DIR
juliñij_l_z/active-GEN
ájamh'iTO-j_p_'/agentive-GEN
álátheldTO-l_th_l/passive-LOC
áwsyjdTO-w_s_j/patient-LOC
á'ujíkiTO-'_j_k/active-GEN
añhusíldTO-s_s_l/active-LOC
epgytFROM-p_g_t/patient-DIR
ethkywFROM-th_k_w/patient-DIR
etháfgeFROM-th_f_g/agentive-DIR
ewapizdFROM-w_p_z/habitual-LOC
amháxdeTO-p_x_d/agentive-DIR
tháxfth_x_f/passive-DIR
laxidl_x_d/habitual-DIR
áwtythiTO-w_t_th/patient-GEN
e'a'idFROM-'_'_d/habitual-DIR
'añdi'_z_d/passive-GEN
elujingiFROM-l_j_g/active-GEN
elangdeFROM-l_g_d/agentive-DIR
zasijz_s_j/habitual-DIR
ála'iddTO-l_'_d/habitual-LOC
'alizen'_l_z/habitual-LOC
seth'ens_th_'/patient-LOC
áxfygiTO-x_f_g/patient-GEN
e'añheddFROM-'_s_d/passive-LOC
ethálefiFROM-th_l_f/passive-GEN
áfubíxdTO-f_b_x/active-LOC
etanesFROM-t_d_s/passive-DIR
áxagithiTO-x_g_th/habitual-GEN
ethujiniFROM-th_j_d/active-GEN
edamhejFROM-d_p_j/passive-DIR
láfzil_f_z/passive-GEN
ejáth'eFROM-j_th_'/agentive-DIR
áwutíkdTO-w_t_k/active-LOC
dáxfdd_x_f/agentive-LOC
añankenTO-z_d_k/agentive-LOC
tákgt_k_g/passive-DIR
amhu'iñTO-p_'_z/active-DIR

Process returned 0

Utility Functions: Clear, Permalink

Noteworthy nodes in each datafile include:

LanguageDatafile nameRoot nodes (Click a root to generate from it)Remarks
Firensyllables.ymlSentence, Noun, Verb, NominalRoot, VerbalRoot, More information about Firen can be found on the Wiki.
Sajem Tansajemtan.ymlWord, Root, Suffix, UnlikelyWord, UnlikelyRoot, UnlikelySuffix, Sajem Tan is a collaborative conlang. It has a website here.
Englishenglish.ymlSentence, 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 Kidapffb.ymlSentence, 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.
Xanzxanz.ymlword, tricons, root, word1, Another collaborative language in the Sajem Tan universe. It is the source of triconsonantal roots in Sajem Tan.
Jafrenjafren.ymlSentence, 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.
Jokesjokes.ymlGender, Someone on Mastodon posted a silly CFG for making gender jokes, so I encoded it as a WordGen datafile. Nothing more to it.
Numbersnumbers.ymlnumber, 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.
TestsCFGs.ymlDyck, 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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