GiellaLT provides rule-based language technology aimed at minority and indigenous languages
Instead of compiling the grammatical tools yourself (as described elsewhere on these pages), you may also download ready-compiled analysers for text analysis. This page explains how. If you have compiled the tools on your machine, we recommend this page instead.
Summary: When you have downloaded the files (cf. the Download… links below), you will be able to run the following command in a terminal window (the language code sme is for North Saami, for other languages, see below):
cat yourtextfile.txt | hfst-tokenise -cg sme.pmhfst | vislcg3 -g sme.cg3
The textfile is sent through a two-step analysis: First through the morphological analyser sme.pmhfst, by using the support program hfst-tokenise. The flag -cg ensures morphological analysis in the required format. Thereafter the output is disambiguated with the disambiguator sme.cg3, by using the support program vislcg3. The flag -g identifies the file sme.cg3 as the grammar file. In order to see more options, you may write hfst-tokenise -h and vislcg3 -h.
You may also conduct automatic dictionary lookup, see below.
These commands will download the compilers hfst and vislcg3. They require a unix system. For use on Windows, see below.
Download on Mac:
curl http://apertium.projectjj.com/osx/install-nightly.sh > install-nightly.sh
chmod a+x install-nightly.sh
sudo ./install-nightly.sh
Download on Linux ubuntu:
wget https://apertium.projectjj.com/apt/install-nightly.sh -O - | sudo bash
sudo apt-get -f install apertium-all-dev
Download on Linux fedora:
curl https://apertium.projectjj.com/rpm/install-nightly.sh |sudo bash
sudo apt-get -f install apertium-all-devel
You will need both morphology and syntax. We use sme as an example:
Morphological analyser:
curl https://gtsvn.uit.no/biggies/trunk/bin/sme/tokeniser-disamb-gt-desc.pmhfst > sme.pmhfst
Syntactic disambiguator:
curl https://gtsvn.uit.no/biggies/trunk/bin/sme/disambiguator.cg3 > sme.cg3
NOTE! For North Sámi (but not for the other languages) you also should run this command:
curl https://gtsvn.uit.no/biggies/trunk/bin/sme/semsets.cg3 > semsets.cg3
The file semset.cg3 should be in the same catalogue as the file sme.cg3.
Replace the language code sme with the language you want (note! the language code is mentioned twice in the commands above, replace both!):
More languages may be added upon request, from this list.
You may also use the Neahttadigisánit dictionaries on the command line. Warning!! The program to be downloaded here gives translation equivalent only, not explanations or example sentences. For dictionary lookup the online dictionaries are thus far better, these programs are good for automatic lookup.
Dictionary lookup:
curl https://gtsvn.uit.no/biggies/trunk/bin/sme/smenob-all.fst > smenob.fst
curl https://gtsvn.uit.no/biggies/trunk/bin/sme/nobsme-all.fst > nobsme.fst
For other languages, replace sme/smenob-all.fst above with smn/smnfin-all.fst, smn/finsmn-all.fst, sma/smanob-all.fst, sma/nobsma-all.fst, and correspondingly for smenob.fst etc.
The dictionaries may be used in two ways:
cat smn-words.txt | hfst-lookup smnfin-all.fsthfst-lookup smnfin-all.fstand thereafter write Inari Saami words and press ENTER. Leave the program with ctrl C.curl https://gtsvn.uit.no/biggies/trunk/bin/smn/smn.hfstol > smn.hfstol
curl https://gtsvn.uit.no/biggies/trunk/bin/smn/smn.zhfst > smn.zhfst
All the above works on Linux and Mac. In order to make it work on Windows, do the following:
Install a Linux shell. It is not too complicated, but requires admin rights on your machine. Thereafter, execute the commands for Linux ubuntu above.