Tiny Tamil text utilities: normalize, tokenize, stopword removal, graphemes
Project description
tamil-utils
Tiny Tamil text utilities: normalize, tokens, remove_stopwords, graphemes.
from tamil_utils import normalize, tokens, remove_stopwords, graphemes
s = "இது ஒரு சோதனை 👋🏽"
print(tokens(s)) # ['இது', 'ஒரு', 'சோதனை']
print(remove_stopwords(tokens(s))) # ['சோதனை']
print(graphemes("👩🏽💻")) # ['👩🏽💻']
Installation
pip install tamil-utils
Windows CLI (module form avoids PATH issues)
python -m tamil_utils.cli tokens "இது ஒரு சோதனை"
New in v0.0.2
# Sentence split
python -m tamil_utils.cli sents "இது ஒரு வாக்கியம். இது இரண்டாம்? சரி!"
# Numerals
python -m tamil_utils.cli to-arabic "௨௦௨௫" # -> 2025
python -m tamil_utils.cli to-tamil "123" # -> ௧௨௩
# Tokens with stopwords removed (preset)
python -m tamil_utils.cli tokens --rmstop "இது ஒரு சோதனை"
[](https://pypi.org/project/tamil-utils/)

Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
tamil_utils-0.0.2.tar.gz
(5.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file tamil_utils-0.0.2.tar.gz.
File metadata
- Download URL: tamil_utils-0.0.2.tar.gz
- Upload date:
- Size: 5.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
0c02d2220a69260eb496a4b9889278a8f44656e5ed2976387ada2d8082263be4
|
|
| MD5 |
68be82e708335541425d6a73a6ed1b7b
|
|
| BLAKE2b-256 |
d31a6d029df0ac5eb0ddb5b9d6f3bd84bec56eb33738bff1d3053613bfe37ee0
|
File details
Details for the file tamil_utils-0.0.2-py3-none-any.whl.
File metadata
- Download URL: tamil_utils-0.0.2-py3-none-any.whl
- Upload date:
- Size: 5.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
288ed5c61dc5b32c9d0e7171e1e821ed8f5ae387c98c0c53dbe64f9949f7fa98
|
|
| MD5 |
4aa7c7a60aa8dd13a3e35ff7b93e5814
|
|
| BLAKE2b-256 |
5e7c774ea2d3b3b9f54f474abc48af3cd05305b870c5669ad1bdbd9a6e3bc810
|