Natural language processing for Icelandic
Project description
GreynirSeq
GreynirSeq is a natural language parsing toolkit for Icelandic focused on sequence modeling with neural networks. It is under active development and is in its early stages.
The modeling part (nicenlp) of GreynirSeq is built on top of the excellent fairseq from Facebook (which is built on top of pytorch).
GreynirSeq is licensed under the GNU AFFERO GPLv3 license unless otherwise stated at the top of a file.
What's new?
- An Icelandic RoBERTa model, IceBERT finetuned for NER and POS tagging.
- Icelandic - English translation.
What's on the horizon?
- More fine tuning tasks for Icelandic, constituency parsing and grammatical error detection
Be aware that usage of the CLI or otherwise downloading model files will result in downloading of gigabytes of data.
Simply installing greynirseq
will not download any models, they are automatically downloaded on-demand.
Installation
In a suitable virtual environment
# From PyPI
$ pip install greynirseq
# or from git main branch
$ pip install git+https://github.com/mideind/greynirseq@main
Features
TL;DR give me the CLI
The greynirseq
CLI interface can be used to run pretrained models for various tasks. Run pip install greynirseq && greynirseq -h
to see what options are available.
POS
Input is accepted from file containing a single tokenized sentence per line, or from stdin.
$ echo "Systurnar Guðrún og Monique átu einar um jólin á McDonalds ." | greynirseq pos --input -
nvfng nven-s c n---s sfg3fþ lvfnsf af nhfog af n----s pl
NER
Input is accepted from file containing a single tokenized sentence per line, or from stdin.
$ echo "Systurnar Guðrún og Monique átu einar um jólin á McDonalds ." | greynirseq ner --input -
O B-Person O B-Person O O O O O B-Organization O
Translation
Input is accepted from file containing a single untokenized sentence per line, or from stdin.
# For en->is translation
$ echo "This is an awesome test that shows how to use a pretrained translation model." | greynirseq translate --source-lang en --target-lang is
Þetta er æðislegt próf sem sýnir hvernig nota má forprófað þýðingarlíkan.
# For is->en translation
$ echo "Þetta er æðislegt próf sem sýnir hvernig nota má forprófað þýðingarlíkan." | greynirseq translate --source-lang is --target-lang en
This is an awesome test that shows how a pre-tested translation model can be used.
Neural Icelandic Language Processing - NIceNLP
IceBERT is an Icelandic BERT-based (RoBERTa) language model that is suitable for fine tuning on downstream tasks.
The following fine tuning tasks are available both through the greynirseq
CLI and for loading programmatically.
There are also a some translation models available. They are Transformer models trained from scratch or finetuned based on mBART25.
Development
To install GreynirSeq in development mode we recommend using poetry as shown below
pip install poetry && poetry install
Linting
All code is checked with Super-Linter in a GitHub Action, we recommend running it locally before pushing
./run_linter.sh
Type annotation
Type annotation will soon be checked with mypy and should be included.
Project details
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