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:

• Punct contains ASCII punctuation marks
• The symbol after m-dash is soft-hyphen U+00AD
• The symbol following {•} is byte-order-mark / zero-width no-break space U+FEFF.

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

• En Quad U+2000 to Zero-Width Joiner U+200d’
• Narrow No-Break Space U+202F
• Medium Mathematical Space U+205F
• Word joiner U+2060

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

• select extended latin symbols
• select symbols
• various symbols from Private area (probably Microsoft), so far:
• U+F0B7 for “x in box”

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

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