Local spelling
Developed by Fast Data Science, https://fastdatascience.com
Source code at https://github.com/fastdatascience/localspelling
Python library for localising spelling between British and American conventions, conserving case.
Please note this library converts only spelling variants such as US “honour” vs UK “honor”.
It does not localise vocabulary such as “pavement” vs “sidewalk” or “aubergine” vs “eggplant”.
It also does not localise spellings where there is more than one correct conversion, such as US “program”, which corresponds to both “programme” and “program” in British spelling.
Requirements
Python 3.6 and above
Installation
pip install localspelling
Usage examples
Example 1
from localspelling import convert_spelling
convert_spelling("it has been an honor", "gb")outputs ‘it has been an honour’
Example 2: you can retrieve the dictionary used for the single words (this won’t match wildcards like ‘-isation’)
from localspelling import get_dictionary
get_dictionary("us")["honour"]outputs ‘honor’
Who to contact
Thomas Wood at https://fastdatascience.com
1 maintainer
Metadata
1 maintainer
Release files for localspelling 0.94
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| localspelling-0.94.tar.gz | 9.1 kB | Details |
Release files / localspelling-0.94.tar.gz
| Download URL | localspelling-0.94.tar.gz |
|---|---|
| Size | 9.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f7deeb8b7ced2c79f88e5de8db18767bcd9d538d6b47bdb2e49dc5b8131eea91
|
|
BLAKE2b-256 checksum How to use checksums |
fab3192550d401840f42dbe6089054ec944e41341c7db8f271c74ee9855c1110
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.3
|
