Pite Sami NLP Grammar

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

View the project on GitHub giellalt/lang-sje

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Tokeniser for sje


$ 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 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