Old French NLP Grammar

Finite state and Constraint Grammar based analysers, proofing tools and other resources

View the project on GitHub giellalt/lang-fro

Old French language model documentation

All doc-comment documentation in one large file.

src-cg3-functions.cg3.md

These sets model noun phrases (NPs). The idea is to first define whatever can occur in front of the head of the NP, and thereafter negate that with the expression WORD - premodifiers.

The set NOT-NPMOD is used to find barriers between NPs. Typical usage: … (*1 N BARRIER NPT-NPMOD) … meaning: Scan to the first noun, ignoring anything that can be part of the noun phrase of that noun (i.e., “scan to the next NP head”)

These were the set types.

HABITIVE MAPPING

sma object

SUBJ MAPPING - leftovers

OBJ MAPPING - leftovers

HNOUN MAPPING

This (part of) documentation was generated from src/cg3/functions.cg3

src-fst-morphology-affixes-nouns.lexc.md

Noun inflection The Old French language nouns inflect in cases.

This (part of) documentation was generated from src/fst/morphology/affixes/nouns.lexc

src-fst-morphology-affixes-verbs.lexc.md

Verb Inflection

This (part of) documentation was generated from src/fst/morphology/affixes/verbs.lexc

src-fst-morphology-phonology.twolc.md

=================================== ! The Old French morphophonological/twolc rules file ! =================================== !

{T}+s and s{T}+s become z

p, f, c, b, and v disappear before inflectional -s FIXME: change to labials + c

NASAL ALTERATIONS

Silent t and d

Palatalized vowels

Ordinals

This (part of) documentation was generated from src/fst/morphology/phonology.twolc

src-fst-morphology-root.lexc.md

General features

Noun Features

Verb Features

Article Features

Pronoun Features

Adverb Features

Adjective Features

Conjunction Features

Numeral Features

Interjection Features

Archiphonemes

This (part of) documentation was generated from src/fst/morphology/root.lexc

src-fst-morphology-stems-nouns.lexc.md

Nouns

This (part of) documentation was generated from src/fst/morphology/stems/nouns.lexc

src-fst-morphology-stems-verbs.lexc.md

Verbs

Add: doloir, rire, trover, asseoir conduire, criembre, tordre

This (part of) documentation was generated from src/fst/morphology/stems/verbs.lexc

src-fst-phonetics-txt2ipa.xfscript.md

retroflex plosive, voiceless t ʈ 0288, 648 ( = ASCII 096) retroflex plosive, voiced d ɖ 0256, 598 labiodental nasal F ɱ 0271, 625 retroflex nasal n ɳ 0273, 627 palatal nasal J ɲ 0272, 626 velar nasal N ŋ 014B, 331 uvular nasal N\ ɴ 0274, 628

bilabial trill B\ ʙ 0299, 665 uvular trill R\ ʀ 0280, 640 alveolar tap 4 ɾ 027E, 638 retroflex flap r ɽ 027D, 637 bilabial fricative, voiceless p\ ɸ 0278, 632 bilabial fricative, voiced B β 03B2, 946 dental fricative, voiceless T θ 03B8, 952 dental fricative, voiced D ð 00F0, 240 postalveolar fricative, voiceless S ʃ 0283, 643 postalveolar fricative, voiced Z ʒ 0292, 658 retroflex fricative, voiceless s ʂ 0282, 642 retroflex fricative, voiced z` ʐ 0290, 656 palatal fricative, voiceless C ç 00E7, 231 palatal fricative, voiced j\ ʝ 029D, 669 velar fricative, voiced G ɣ 0263, 611 uvular fricative, voiceless X χ 03C7, 967 uvular fricative, voiced R ʁ 0281, 641 pharyngeal fricative, voiceless X\ ħ 0127, 295 pharyngeal fricative, voiced ?\ ʕ 0295, 661 glottal fricative, voiced h\ ɦ 0266, 614

alveolar lateral fricative, vl. K alveolar lateral fricative, vd. K\

labiodental approximant P (or v) alveolar approximant r\ retroflex approximant r` velar approximant M\

retroflex lateral approximant l` palatal lateral approximant L velar lateral approximant L
Clicks

bilabial O\ (O = capital letter) dental |
(post)alveolar !\ palatoalveolar =\ alveolar lateral ||
Ejectives, implosives

ejective > e.g. ejective p p> implosive < e.g. implosive b b< Vowels

close back unrounded M close central unrounded 1 close central rounded } lax i I lax y Y lax u U

close-mid front rounded 2 close-mid central unrounded @\ close-mid central rounded 8 close-mid back unrounded 7

schwa ə @

open-mid front unrounded E open-mid front rounded 9 open-mid central unrounded 3 open-mid central rounded 3\ open-mid back unrounded V open-mid back rounded O

ash (ae digraph) { open schwa (turned a) 6

open front rounded & open back unrounded A open back rounded Q Other symbols

voiceless labial-velar fricative W voiced labial-palatal approx. H voiceless epiglottal fricative H\ voiced epiglottal fricative <\ epiglottal plosive >\

alveolo-palatal fricative, vl. s\ alveolo-palatal fricative, voiced z\ alveolar lateral flap l\ simultaneous S and x x\ tie bar _ Suprasegmentals

primary stress “ secondary stress % long : half-long :\ extra-short _X linking mark -
Tones and word accents

level extra high _T level high _H level mid _M level low _L level extra low _B downstep ! upstep ^ (caret, circumflex)

contour, rising contour, falling _F contour, high rising _H_T contour, low rising _B_L

contour, rising-falling _R_F (NB Instead of being written as diacritics with _, all prosodic marks can alternatively be placed in a separate tier, set off by < >, as recommended for the next two symbols.) global rise global fall Diacritics

voiceless 0 (0 = figure), e.g. n_0 voiced _v aspirated _h more rounded _O (O = letter) less rounded _c advanced _+ retracted _- centralized _” syllabic = (or _=) e.g. n= (or n=) non-syllabic _^ rhoticity `

breathy voiced _t creaky voiced _k linguolabial _N labialized _w palatalized ‘ (or _j) e.g. t’ (or t_j) velarized _G pharyngealized _?\

dental d apical _a laminal _m nasalized ~ (or _~) e.g. A~ (or A~) nasal release _n lateral release _l no audible release _}

velarized or pharyngealized _e velarized l, alternatively 5 raised _r lowered _o advanced tongue root _A retracted tongue root _q

This (part of) documentation was generated from src/fst/phonetics/txt2ipa.xfscript

src-fst-transcriptions-transcriptor-abbrevs2text.lexc.md

We describe here how abbreviations are in Old French are read out, e.g. for text-to-speech systems.

For example:

This (part of) documentation was generated from src/fst/transcriptions/transcriptor-abbrevs2text.lexc

src-fst-transcriptions-transcriptor-numbers-digit2text.lexc.md

% komma% :, Root ; % tjuohkkis% :%. Root ; % kolon% :%: Root ; % sárggis% :%- Root ; % násti% :%* Root ;

This (part of) documentation was generated from src/fst/transcriptions/transcriptor-numbers-digit2text.lexc

tools-tokenisers-tokeniser-disamb-gt-desc.pmscript.md

Tokeniser for fro

Usage:

$ make
$ echo "ja, ja" | hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst
$ echo "Juos gorreválggain lea (dárbbašlaš) deavdit gáibádusa boasttu olmmoš, man mielde lahtuid." | hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst
$ echo "(gáfe) 'ja' ja 3. ja? ц jaja ukjend \"ukjend\"" | hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst
$ echo "márffibiillagáffe" | hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst

Pmatch documentation: https://github.com/hfst/hfst/wiki/HfstPmatch

Characters which have analyses in the lexicon, but can appear without spaces before/after, that is, with no context conditions, and adjacent to words:

Whitespace contains ASCII white space and the List contains some unicode white space characters

Apart from what’s in our morphology, there are

  1. unknown word-like forms, and
  2. unmatched strings We want to give 1) a match, but let 2) be treated specially by hfst-tokenise -a Unknowns are made of:
    • lower-case ASCII
    • upper-case ASCII
    • select extended latin symbols
    • fro specific characters ASCII digits
    • select symbols
    • Combining diacritics as individual symbols,
    • various symbols from Private area (probably Microsoft), so far:
    • U+F0B7 for “x in box”

Unknown handling

Unknowns are tagged ?? and treated specially with hfst-tokenise hfst-tokenise –giella-cg will treat such empty analyses as unknowns, and remove empty analyses from other readings. Empty readings are also legal in CG, they get a default baseform equal to the wordform, but no tag to check, so it’s safer to let hfst-tokenise handle them.

Finally we mark as a token any sequence making up a:

This (part of) documentation was generated from tools/tokenisers/tokeniser-disamb-gt-desc.pmscript

tools-tokenisers-tokeniser-gramcheck-gt-desc.pmscript.md

Grammar checker tokenisation for fro

Requires a recent version of HFST (3.10.0 / git revision>=3aecdbc) Then just:

$ make
$ echo "ja, ja" | hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst

More usage examples:

$ echo "Juos gorreválggain lea (dárbbašlaš) deavdit gáibádusa boasttu olmmoš, man mielde lahtuid." | hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst
$ echo "(gáfe) 'ja' ja 3. ja? ц jaja ukjend \"ukjend\"" | hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst
$ echo "márffibiillagáffe" | hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst

Pmatch documentation: https://github.com/hfst/hfst/wiki/HfstPmatch

Characters which have analyses in the lexicon, but can appear without spaces before/after, that is, with no context conditions, and adjacent to words:

Whitespace contains ASCII white space and the List contains some unicode white space characters

Apart from what’s in our morphology, there are 1) unknown word-like forms, and 2) unmatched strings We want to give 1) a match, but let 2) be treated specially by hfst-tokenise -a

TODO: Could use something like this, but built-in’s don’t include šžđčŋ:

Simply give an empty reading when something is unknown: hfst-tokenise –giella-cg will treat such empty analyses as unknowns, and remove empty analyses from other readings. Empty readings are also legal in CG, they get a default baseform equal to the wordform, but no tag to check, so it’s safer to let hfst-tokenise handle them.

Finally we mark as a token any sequence making up a:

This (part of) documentation was generated from tools/tokenisers/tokeniser-gramcheck-gt-desc.pmscript

tools-tokenisers-tokeniser-tts-cggt-desc.pmscript.md

TTS tokenisation for smj

Requires a recent version of HFST (3.10.0 / git revision>=3aecdbc) Then just:

make
echo "ja, ja" \
| hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst

More usage examples:

echo "Juos gorreválggain lea (dárbbašlaš) deavdit gáibádusa \
boasttu olmmoš, man mielde lahtuid." \
| hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst
echo "(gáfe) 'ja' ja 3. ja? ц jaja ukjend \"ukjend\"" \
| hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst
echo "márffibiillagáffe" \
| hfst-tokenise --giella-cg tokeniser-disamb-gt-desc.pmhfst

Pmatch documentation: https://kitwiki.csc.fi/twiki/bin/view/KitWiki/HfstPmatch

Characters which have analyses in the lexicon, but can appear without spaces before/after, that is, with no context conditions, and adjacent to words:

Whitespace contains ASCII white space and the List contains some unicode white space characters

Apart from what’s in our morphology, there are 1) unknown word-like forms, and 2) unmatched strings We want to give 1) a match, but let 2) be treated specially by hfst-tokenise -a

TODO: Could use something like this, but built-in’s don’t include šžđčŋ:

Simply give an empty reading when something is unknown: hfst-tokenise –giella-cg will treat such empty analyses as unknowns, and remove empty analyses from other readings. Empty readings are also legal in CG, they get a default baseform equal to the wordform, but no tag to check, so it’s safer to let hfst-tokenise handle them.

Needs hfst-tokenise to output things differently depending on the tag they get

This (part of) documentation was generated from tools/tokenisers/tokeniser-tts-cggt-desc.pmscript

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