Targetted language identifier, based on FastText and Hunspell.
Project description
FastSpell
Targetted language identifier, based on FastText and Hunspell.
How it works
FastSpell will try to determine the language of a sentence by using FastText.
If the language detected is very similar to the target language (i.e. FastText detected Spanish, while the targetted language is Galician), extra checks are performed with Hunspell to determine the language more precisely.
Citation
If you find FastSpell useful, please consider citing the following paper:
Marta Bañón, Gema Ramírez-Sánchez, Jaume Zaragoza-Bernabeu, and Sergio Ortiz Rojas,
"FastSpell: The LangId Magic Spell",
in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024),
pages 7133–7140, Torino, Italia. ELRA and ICCL.
@inproceedings{banon-etal-2024-fastspell-langid,
title = "{F}ast{S}pell: The {L}ang{I}d Magic Spell",
author = "Ba{\~n}{\'o}n, Marta and
Ram{\'\i}rez-S{\'a}nchez, Gema and
Zaragoza-Bernabeu, Jaume and
Ortiz Rojas, Sergio",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.626",
pages = "7133--7140",
abstract = "Language identification is a crucial component in the automated production of language resources, particularly in multilingual and big data contexts. However, commonly used language identifiers struggle to differentiate between similar or closely-related languages. This paper introduces FastSpell, a language identifier that combines fastText (a pre-trained language identifier tool) and Hunspell (a spell checker) with the aim of having a refined second-opinion before deciding which language should be assigned to a text. We provide a description of the FastSpell algorithm along with an explanation on how to use and configure it. To that end, we motivate the need of such a tool and present a benchmark including some popular language identifiers evaluated during the development of FastSpell. We show how FastSpell is useful not only to improve identification of similar languages, but also to identify new ones ignored by other tools.",
}
Requirements & Installation
FastSpell can be installed from PyPI
pip install fastspell
or directly from source:
pip install .
Note that it requires Python3.8 or higher, and the python3-dev
package:
sudo apt-get install python3-dev
IMPORTANT:
In some cases (for example, when using Python 3.10), the cyhunspell
version 2.0.2 installation will fail. If that's the case, you need to install cyhunspell==2.0.3
before installing fastspell
:
First make sure build dependencies are installed
sudo apt install build-essential autoconf autopoint libtool
then install the pip package
pip install git+https://github.com/MSeal/cython_hunspell@2.0.3
Model download
To trigger the FastText model download before running fastspell, run:
fastspell-download
Since version 0.7 all the dictionaries are installed automatically with pip and there is no need to do anything else. For further explanation about how configuration works, see below.
Conda
Also, you can install the conda package:
conda install -c conda-forge -c bitextor fastspell
Automatic testing
Some automatic tests are provided to check that the installation went fine. In order to check it, go to the /tests
directory and run:
python3 -m unittest discover
You might need to istall the unittest
package with pip
, in case you don't have it installed beforehand.
Configuration
A few configuration files are provided under the fastspell/config
directory.
If you need to change default configuration, you can provide the path to your config directory with -c
/--config
or with the environment variable FASTSPELL_CONFIG
.
similar.yaml
In this dictionary-like file, similar languages are stored. These are the languages that are going to be "double-checked" with Hunspell after being identified with FastText. For example, see the line gl: [es, pt, gl]
. This means that, when the targetted language is Galician, and FastText identifies a given sentence as Spanish, Portuguese or Galician, extra checks will be performed with Hunspell to confirm which of the three similar languages is more suitable for the sentence.
Please note that you need Hunspell dictionaries for all the languages in this file (if you use the fastspell-download
command, there is nothing else to do). This file can be modified to remove a language you are not interested in, or a language for which you don't have Hunspell dictionaries, or to add new similar or target languages.
hunspell.yaml
In this file, the names of the dictionaries are stored. All similar languages must be in this list in order to properly work.
For example, the first entry in the hunspell_codes
is ca: ca_ES
, and the dictionary path is ~/.local/share/fastspell/
. That means that the Hunspell files for Catalan are ~/.local/share/fastspell/ca_ES.dic
and ~/.local/share/fastspell/ca_ES.aff
.
By default dicpath
is empty, which means FastSpell will look in these directories for the dictionaries:
fastspell_dictionaries.__path__[0]
~/.local/share/fastspell
~/.local/share/hunspell
$VIRTUAL_ENV/share/hunspell
/usr/share/hunspell
To use a custom path, put it in dicpath
and will be the first one to search.
Usage
Module:
In order to use FastSpell as a Python module, just install and import it :
from fastspell import FastSpell
Build a FastSpell object, like:
fsobj = FastSpell.FastSpell("en", mode="cons")
(learn more about modes in the section below)
And then use the getlang
function with the sentences you want to identify, for example:
fsobj.getlang("Hello, world")
#'en'
fsobj.getlang("Hola, mundo")
#'es'
CLI:
iusage: fastspell [-h] [--aggr] [--cons] [--hbs] [-q] [--debug]
[--logfile LOGFILE] [-v]
lang [input] [output]
positional arguments:
lang
input Input sentences. (default: <_io.TextIOWrapper
name='<stdin>' encoding='UTF-8'>)
output Output of the language identification. (default:
<_io.TextIOWrapper name='<stdout>' mode='w'
encoding='UTF-8'>)
optional arguments:
-h, --help show this help message and exit
--aggr Aggressive strategy (more positives) (default: False)
--cons Conservative strategy (less positives) (default: False)
--hbs Return all Serbo-Croatian variants as 'hbs' (default:
False)
Logging:
-q, --quiet Silent logging mode (default: False)
--debug Debug logging mode (default: False)
--logfile LOGFILE Store log to a file (default: <_io.TextIOWrapper
name='<stderr>' mode='w' encoding='UTF-8'>)
-v, --version show version of this script and exit
Aggressive vs Conservative
FastSpell comes in two flavours: Aggressive and Conservative.
The Aggressive mode is less hesitant to tag a sentence with the target language, and never has doubts. The Conservative version, on the other hand, is more reluctant to tag a sentence with the target language and will use the unk
(unknown) tag in case of doubt (when there is a tie between the target language and other language, for example)
Benchmark
Benchmark data: https://github.com/mbanon/benchmarks
Results: https://docs.google.com/spreadsheets/d/158ZRWMgRH5TptlFWpKyh5uRL5jTkKW1d4KGJg1AZf7A/edit?usp=sharing
Usage example
Input text:
19-01-2011 47 comentarios 7o Xornadas de Xardinería de Galicia (RE)PLANTEAR
• Proceso de valoración de idoneidade: entrevistas psicosociais e visita domiciliaria e aplicación de test psicolóxicos, se é o caso.
- Chrome e Firefox en MacOS non son compatibles (unicamente Safari é compatible con MacOS), pero invocarase PSAL ao intentar empregar Chrome ou Firefox.
Mago da luz / Maga da luz
Celebrada a homenaxe a Xosé Manuel Seivane Rivas
A instalación eléctrica en teletraballo
Saltar á navegación Navegación INICIO
Julio Freire, competidor da FGA, invitado polo Kennel club de Inglaterra, para participar nos Crufts 2014 (Birmingham, 6 - 9 de marzo).
25 de xullo - Truong Tan Sang toma posesión como presidente de Vietnam
Quen pode solicitar o dito financiamento?
Command:
fastspell --aggr lang inputtext
fastspell --cons lang inputtext
Aggressive output:
19-01-2011 47 comentarios 7o Xornadas de Xardinería de Galicia (RE)PLANTEAR gl
• Proceso de valoración de idoneidade: entrevistas psicosociais e visita domiciliaria e aplicación de test psicolóxicos, se é o caso. gl
- Chrome e Firefox en MacOS non son compatibles (unicamente Safari é compatible con MacOS), pero invocarase PSAL ao intentar empregar Chrome ou Firefox. gl
Mago da luz / Maga da luz gl
Celebrada a homenaxe a Xosé Manuel Seivane Rivas gl
A instalación eléctrica en teletraballo gl
Saltar á navegación Navegación INICIO gl
Julio Freire, competidor da FGA, invitado polo Kennel club de Inglaterra, para participar nos Crufts 2014 (Birmingham, 6 - 9 de marzo). es
25 de xullo - Truong Tan Sang toma posesión como presidente de Vietnam gl
Quen pode solicitar o dito financiamento? gl
Conservative output:
19-01-2011 47 comentarios 7o Xornadas de Xardinería de Galicia (RE)PLANTEAR unk
• Proceso de valoración de idoneidade: entrevistas psicosociais e visita domiciliaria e aplicación de test psicolóxicos, se é o caso. gl
- Chrome e Firefox en MacOS non son compatibles (unicamente Safari é compatible con MacOS), pero invocarase PSAL ao intentar empregar Chrome ou Firefox. gl
Mago da luz / Maga da luz unk
Celebrada a homenaxe a Xosé Manuel Seivane Rivas gl
A instalación eléctrica en teletraballo unk
Saltar á navegación Navegación INICIO gl
Julio Freire, competidor da FGA, invitado polo Kennel club de Inglaterra, para participar nos Crufts 2014 (Birmingham, 6 - 9 de marzo). es
25 de xullo - Truong Tan Sang toma posesión como presidente de Vietnam gl
Quen pode solicitar o dito financiamento? gl
Getting stats:
cat inputtext | fastspell --aggr $L | cut -f2 | sort | uniq -c | sort -nr
cat inputtext | fastspell --cons $L | cut -f2 | sort | uniq -c | sort -nr
Aggressive:
9 gl
1 es
Conservative:
6 gl
3 unk
1 es
All documents and software contained in this repository reflect only the authors' view. The Innovation and Networks Executive Agency of the European Union is not responsible for any use that may be made of the information it contains.
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