项目作者: giellalt

项目描述 :
Finite state and Constraint Grammar based analysers and proofing tools, and language resources for the Kalo Finnish Romani language
高级语言: M4
项目地址: git://github.com/giellalt/lang-rmf.git
创建时间: 2020-05-13T17:06:56Z
项目社区:https://github.com/giellalt/lang-rmf

开源协议:Other

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The Kalo Finnish Romani morphology and tools

Maturity
Lemma count
GitHub issues
License
Doc Build Status
CI/CD Build Status

Download nightly / CI/CD installation packages for testing (contains the core zhfst file(s)):

Windows
MacOS
Mobile

NB!! Note that the nightly / CI/CD installation packages are not tested for language quality, and might contain regressions and errors.

This repository contains finite state source files for the Kalo Finnish Romani language,
for building morphological analysers, proofing tools
and dictionaries. The data and implementation are licenced under LICENSE
licence, also detailed in the
LICENSE. The
authors named in the AUTHORS file are available to grant other licencing
choices.

Install proofing tools and keyboards
for the Kalo Finnish Romani language by using the Divvun Installer
(some languages are only available via the nightly channel).

Download and test speller files

The speller files downloadable at the top of this page (the *.bhfst files) can
be used with divvunspell, to test their
performance. These files are the exact same ones as installed on users’ computers
and mobile phones. Desktop and mobile speller files differ from each other in the
error model and should be tested separately — thus also two different downloads.

Documentation

Documentation can be found at:

Core dependencies

In order to compile and use Kalo Finnish Romani language morphology and
dictionaries, you need:

To install VislCG3 and HFST, just copy/paste this into your Terminal on macOS:

  1. curl https://apertium.projectjj.com/osx/install-nightly.sh | sudo bash

or terminal on Ubuntu, Debian or Windows Subsystem for Linux:

  1. wget https://apertium.projectjj.com/apt/install-nightly.sh -O - | sudo bash
  2. sudo apt-get install cg3 hfst

or terminal on RedHat, Fedora, CentOS or Windows Subsystem for Linux:

  1. wget https://apertium.projectjj.com/rpm/install-nightly.sh -O - | sudo bash
  2. sudo dnf install cg3 hfst

Alternatively, the Apertium wiki has good instructions on how to install the dependencies for Mac
OS X
and how to install
the dependencies on
linux

Further details and dependencies are described on the GiellaLT Getting Started pages.

Downloading

Using Git:

  1. git clone https://github.com/giellalt/lang-rmf

Using Subversion:

  1. svn checkout https://github.com/giellalt/lang-rmf.git/trunk lang-rmf

Building and installation

INSTALL
describes the GNU build system in detail, but for most users it is the usual:

  1. ./autogen.sh # This will automatically clone or check out other GiellaLT dependencies
  2. ./configure
  3. make
  4. (as root) make install

Citing

If you use language data from more than one GiellaLT language, consider citing
our LREC 2022 article on whole
infra
:

Linda Wiechetek, Katri Hiovain-Asikainen, Inga Lill Sigga Mikkelsen,
Sjur Moshagen, Flammie Pirinen, Trond Trosterud, and Børre Gaup. 2022.
Unmasking the Myth of Effortless Big Data - Making an Open Source
Multi-lingual Infrastructure and Building Language Resources from Scratch
.
In Proceedings of the Thirteenth Language Resources and Evaluation Conference,
pages 1167–1177, Marseille, France. European Language Resources Association.

If you use bibtex, following is as it is on ACL anthology:

  1. @inproceedings{wiechetek-etal-2022-unmasking,
  2. title = "Unmasking the Myth of Effortless Big Data - Making an Open Source
  3. Multi-lingual Infrastructure and Building Language Resources from Scratch",
  4. author = "Wiechetek, Linda and
  5. Hiovain-Asikainen, Katri and
  6. Mikkelsen, Inga Lill Sigga and
  7. Moshagen, Sjur and
  8. Pirinen, Flammie and
  9. Trosterud, Trond and
  10. Gaup, B{\o}rre",
  11. booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation
  12. Conference",
  13. month = jun,
  14. year = "2022",
  15. address = "Marseille, France",
  16. publisher = "European Language Resources Association",
  17. url = "https://aclanthology.org/2022.lrec-1.125",
  18. pages = "1167--1177"
  19. }