Cython wrapper on Hunspell Dictionary
This repository provides a wrapper on Hunspell to be used natively in Python. The module uses cython to link between the C++ and Python code, with some additional features. There's very little Python overhead as all the heavy lifting is done on the C++ side of the module interface, which gives optimal performance.
The hunspell library will cache any corrections, you can use persistent caching by
adding the use_disk_cache argument to a Hunspell constructor. Otherwise it uses
in-memory caching.
- 2019.09.18: add some head files from origin hunspell(C++) in order to install using setup.py
- recommended method：
In order to install more efficiently, using setup.py to install is recommended, and pkg-config is needed.
# clone repository
git clone https://github.com/binhetech/CyHunspell.git CyHunspell
# enter into working directory
cd CyHunspell
# install using setup
python setup.py install
- origin pip method:
For the simplest install simply run:
pip install cyhunspell
This will attempt to install non-python depedencies on your behalf. You can speed this up by providing a libhunspell dependency ahead of time (see Non-Python Dependencies below).
cacheman -- for (optionally asynchronous) persistent caching
If you don't have hunspell installed the library will download and build it for you.
If you want to use ubuntu's 1.6 installation on ubuntu distributions use the following before installing:
sudo apt-get install libhunspell-1.6-0 libhunspell-dev
This is a faster installsudo apt-get install libhunspell-1.6-0 libhunspell-dev than the built-in download and compile.
Older versions of debian may only have 1.3.0 available, which you can install with
sudo apt-get install libhunspell-1.3-0 libhunspell-dev
Spell checking & spell suggestions
Below are some simple examples for how to use the repository.
from hunspell import Hunspell
h = Hunspell()
You now have a usable hunspell object that can make basic queries for you.
h.spell('test') # True
It's a simple task to ask if a particular word is in the dictionary.
h.spell('correct') # True
h.spell('incorect') # False
This will only ever return True or False, and won't give suggestions about why it might be wrong. It also depends on your choice of dictionary.
If you want to get a suggestion from Hunspell, it can provide a corrected label given a basestring input.
h.suggest('incorect') # (u'incorrect', u'correction', u'corrector', u'correct', u'injector')
The suggestions are in sorted order, where the lower the index the closer to the input string.
The module can also stem words, providing the stems for pluralization and other inflections.
h.stem('testers') # (u'tester', u'test')
h.stem('saves') # (u'save',)
You can also request bulk actions against Hunspell. This will trigger a threaded (without a gil) request to perform the action requested. Currently just 'suggest' and 'stem' are bulk requestable.
h.bulk_suggest(['correct', 'incorect'])
# {'incorect': (u'incorrect', u'correction', u'corrector', u'correct', u'injector'), 'correct': ['correct']}
h.bulk_stem(['stems', 'currencies'])
# {'currencies': [u'currency'], 'stems': [u'stem']}
By default it spawns number of CPUs threads to perform the operation. You can overwrite the concurrency as well.
h.set_concurrency(4) # Four threads will now be used for bulk requests
You can also specify the language or dictionary you wish to use.
h = Hunspell('en_CA') # Canadian English
By default you have the following dictionaries available
- en_AU
- en_CA
- en_GB
- en_NZ
- en_US
- en_ZA
However you can download your own and point Hunspell to your custom dictionaries.
h = Hunspell('en_GB-large', hunspell_data_dir='/custom/dicts/dir')
If you want to have Hunspell cache suggestions and stems you can pass it a directory to house such caches.
h = Hunspell(disk_cache_dir='/tmp/hunspell/cache/dir')
This will save all suggestion and stem requests periodically and in the background. The cache will fork after a number of new requests over particular time ranges and save the cache contents while the rest of the program continues onward. You'll never have to explicitly save your caches to disk, but you can if you so choose.
h.save_cache()
Otherwise the Hunspell object will cache such requests locally in memory and not persist that memory.
Tested on Ubuntu and Fedora with pre-build binaries of Hunspell as well as automatically build depedencies. It's inlikely to have trouble with other distributions.
The base library comes with MSVC built Hunspell libraries and will link against those during runtime. These were tested on Windows 7, 8, 10 and some on older systems. It's possible that a Python build with a newer (or much older) version of MSVC will fail to load these pre-built libraries.
So far the library has been tested against 10.9 (Mavericks) and up. There shoudn't be any reason it would fail to run on any particular version of OSX.
See libs/README
Package wrapper for the repo.
All unit tests for the repo.
- Google Style Guide
- Object Oriented (with a few exceptions)
- Convert cacheman dependency to be optional
- On Windows very long file paths, or paths saved in a different encoding than the system require special handling by Hunspell to load dictionary files. To circumvent this on Windows setups, either set
system_encoding='UTF-8'in theHunspellconstructor or set the environment variableHUNSPELL_PATH_ENCODING=UTF-8. Then you must re-encode yourhunspell_data_dirin UTF-8 by passing that argument name to theHunspellconstructor or setting theHUNSPELL_DATAenvironment variable. This is a restriction of Hunspell / Windows operations.
- Exact spelling suggestions on different OS's differs slightly with identical inputs. This appears to be an issue with Hunspell 1.3 and not this library.
- Older versions of pip and setuptools will build with incorrect windows DLL bindings and complain about "ImportError: DLL load failed: %1 is not a valid Win32 application."
- Sometimes windows machines won't find the build tools appropiately. You may need to 'SET VS100COMNTOOLS=%VSxxxCOMNTOOLS%' before installing. Python 3 usually wants the xxx as '140' and python 2 as '90'. There's not a lot the library can do to fix this, though pip and setuptools upgrades oftentimes resolve the issue by being smarter.
- Ubuntu on windows needs autoconf and build tooling installed to function. Install
sudo apt-get install autoconf automake libtool build-essential pkg-config python python-devto enable build tooling to work.
Author(s): Tim Rodriguez and Matthew Seal
MIT